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## Recommended effort levels ## Availability ### API support #### [Messages API](https://platform.claude.com/docs/en/build-with-claude/working-with-messages) #### [Managed Agents](https://platform.claude.com/docs/en/managed-agents/overview) ### Data handling ### Recommended effort levels for Claude Fable 5.1 ### Recommended effort levels for Claude Fable 5 ### Recommended effort levels for Claude Opus 5.5 ### Recommended effort levels for Claude Opus 5 ### Recommended effort levels for Claude Opus 4.8 ### Recommended effort levels for Claude Opus 4.7 ### Recommended effort levels for Claude Sonnet 5.5 ### Recommended effort levels for Claude Sonnet 5 ### Recommended effort levels for Claude Sonnet 4.6 ### Recommended effort levels for Claude Haiku 5.5
The whole hunk
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/
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1515 - claude-mythos-preview
1616 - claude-opus-5-5
1717 - claude-opus-5
18 - claude-sonnet-5-5
19 - claude-sonnet-5
20 - claude-haiku-5-5
1821 - claude-opus-4-8
1922 - claude-opus-4-7
2023 - claude-opus-4-6
21 - claude-opus-4-5-20251101
22 - claude-sonnet-5-5
23 - claude-sonnet-5
2424 - claude-sonnet-4-6
25 - claude-haiku-5-5
25 - claude-opus-4-5-20251101
2626 supportedPlatforms:
2727 Claude API: ga
2828 Claude Platform on AWS: ga
2929 Amazon Bedrock: ga
30 Amazon Bedrock (InvokeModel): ga
3031 Claude Models on Google Cloud (Google managed): ga
3132 Microsoft Foundry: ga
3233---
3334
35**API support**: Usage differs by product.
36
37* **Messages API**: Always on. Set `output_config.effort` on the request. With no value, the model’s default level applies.
38* **Managed Agents**: Always on. Set `effort` on the agent’s model object, or in a session’s model override. With no value, Managed Agents fills in the model’s default.
39
3440The effort parameter lets you control how many tokens Claude spends when responding to requests. You can trade off between response thoroughness and token efficiency with a single model. The top-level effort parameter is available on all supported models with no beta header required. [Per-message effort](https://platform.claude.com/docs/en/build-with-claude/effort#change-effort-mid-conversation-beta) is in beta.
3541
3642<Tip>
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250256
251257The per-model recommendations that follow override this table where they differ.
252258
253### Recommended effort levels for Claude Fable 5.1
259## Recommended effort levels
254260
255Claude Fable 5.1 supports all five effort levels. **Start with `high`, the default.** Step up to `xhigh` or `max` for the most capability-sensitive agentic and coding work, and step down to `medium` or `low` for routine or latency-sensitive work once your evals show quality holds. At `high` and above, set a large `max_tokens`. It’s a hard limit on total output (thinking plus response text). The same recommendations apply to Claude Mythos 5.1. See [Prompting Claude Fable 5.1](https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/prompting-claude-fable-5-1#consider-all-effort-levels).
261**[Claude Fable 5.1](https://platform.claude.com/docs/en/models/fable-5-1/overview) & [Claude Mythos 5.1](https://platform.claude.com/docs/en/models/mythos-5-1/overview)** — *For demanding reasoning and long-horizon agentic work*
256262
263Claude Fable 5.1 supports all five effort levels. **Start with `high`, the default.** Step up to `xhigh` or `max` for the most capability-sensitive agentic and coding work, and step down to `medium` or `low` for routine or latency-sensitive work once your evals show quality holds. At `high` and above, set a large `max_tokens`. It’s a hard limit on total output (thinking plus response text).
264
257265Claude Fable 5.1 also supports [changing effort mid-conversation](https://platform.claude.com/docs/en/build-with-claude/effort#change-effort-mid-conversation-beta) with a per-message `output_config`, which preserves the prompt cache.
258266
259### Recommended effort levels for Claude Fable 5
267See also: [Prompting Claude Fable 5.1](https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/prompting-claude-fable-5-1#consider-all-effort-levels)
260268
261Effort is the primary control for trading off intelligence, latency, and cost on Claude Fable 5. **Start with `high`, the default, for most tasks**, use `xhigh` for the most capability-sensitive workloads, and step down to `medium` or `low` for routine work. Lower effort settings on Claude Fable 5 still perform well and often exceed `xhigh` performance on prior models. At `high` and `xhigh`, set a large `max_tokens`. It’s a hard limit on total output (thinking plus response text). See [Cost control](https://platform.claude.com/docs/en/build-with-claude/thinking-steering-and-cost#cost-control).
269**[Claude Opus 5.5](https://platform.claude.com/docs/en/models/opus-5-5/overview)** — *For long-running agentic coding and knowledge work*
262270
263Reduce effort if a task completes but takes longer than necessary, or if you want a faster, more interactive working style. The same recommendations apply to Claude Mythos 5. For fuller guidance, see [Prompting Claude Fable 5](https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/prompting-claude-fable-5).
271Claude Opus 5.5 supports all five effort levels, and `medium` is the default (Claude Opus 5 and earlier Opus models default to `high`, so a request that omits `effort` runs one level lower than it did on Claude Opus 5). Adaptive thinking is always on and can’t be turned off, so effort is the primary control for how much the model reasons and what a request costs. Run an effort sweep on your own evals rather than carrying settings over from an earlier model, and set a large `max_tokens` at the higher levels: it’s a hard limit on total output (thinking plus response text). Requests that set `thinking: {"type": "disabled"}` return a 400 error at every effort level. Claude Opus 5.5 also supports [changing effort mid-conversation](https://platform.claude.com/docs/en/build-with-claude/effort#change-effort-mid-conversation-beta) with a per-message `output_config`, which preserves the prompt cache.
264272
265### Recommended effort levels for Claude Opus 5.5
273See also: [Prompting Claude Opus 5.5](https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/prompting-claude-opus-5-5)
266274
267Claude Opus 5.5 supports all five effort levels, and `medium` is the default (Claude Opus 5 and earlier Opus models default to `high`, so a request that omits `effort` runs one level lower than it did on Claude Opus 5). Adaptive thinking is always on and can’t be turned off, so effort is the primary control for how much the model reasons and what a request costs. Run an effort sweep on your own evals rather than carrying settings over from an earlier model, and set a large `max_tokens` at the higher levels: it’s a hard limit on total output (thinking plus response text). Requests that set `thinking: {"type": "disabled"}` return a 400 error at every effort level. Claude Opus 5.5 also supports [changing effort mid-conversation](https://platform.claude.com/docs/en/build-with-claude/effort#change-effort-mid-conversation-beta) with a per-message `output_config`, which preserves the prompt cache. See [Prompting Claude Opus 5.5](https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/prompting-claude-opus-5-5).
275**[Claude Sonnet 5.5](https://platform.claude.com/docs/en/models/sonnet-5-5/overview)** — *The best combination of speed and intelligence*
268276
269### Recommended effort levels for Claude Opus 5
277Claude Sonnet 5.5 supports all five effort levels, and `high` is the default on the Claude API. Its levels are recalibrated, so a level doesn’t produce the same amount of thinking as the same level on Claude Sonnet 5. Run a fresh effort sweep on your evals rather than carrying over the setting you used on Claude Sonnet 5. Start with `high` unless your workload is agentic or latency-sensitive. For agentic coding and multistep tool use, start with `medium` for well-specified tasks and move to `high` for harder or longer ones. For chat and other latency-sensitive work, start with `medium` or `low`. Use `xhigh` or `max` only where your evals show a quality gain. Set `max_tokens` with room for thinking and the reply. Thinking counts toward `max_tokens` even when the thinking content isn’t returned. For agentic coding, set `max_tokens` to 128,000, the model’s maximum, and [stream](https://platform.claude.com/docs/en/build-with-claude/streaming) the response.
270278
279To turn off up-front thinking, send `thinking: {"type": "between_tools"}` instead of `"disabled"`. It’s the lowest thinking setting on Claude Sonnet 5.5, and it works at `low`, `medium`, and `high` effort. At `xhigh` or `max`, a request with it returns a 400 error, so use adaptive thinking at those levels: omit the `thinking` field or send `thinking: {"type": "adaptive"}`. See [Running without up-front thinking](https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/prompting-claude-sonnet-5-5#running-without-up-front-thinking).
280
281Claude Sonnet 5.5 also supports [changing effort mid-conversation](https://platform.claude.com/docs/en/build-with-claude/effort#change-effort-mid-conversation-beta) with a per-message `output_config`, which preserves the prompt cache. With `between_tools`, effort can’t change mid-conversation: a per-message `output_config.effort` that differs from the level in effect returns a 400 error. To vary effort for each turn, use adaptive thinking.
282
283See also: [Prompting Claude Sonnet 5.5](https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/prompting-claude-sonnet-5-5#calibrate-effort)
284
285**[Claude Haiku 5.5](https://platform.claude.com/docs/en/models/haiku-5-5/overview)** — *For high-volume, latency-sensitive tasks such as classification, extraction, and routing*
286
287Claude Haiku 5.5 supports all five effort levels, and `medium` is the default. Effort is the main control for how much the model thinks, and with it quality, latency, and cost. **Start with `medium`** for most work, including agentic coding. Use `low`, the cheapest and fastest level, for chat, short tool tasks, and simple, high-volume requests. In long agent prompts, the model is more likely to skip a search, stop early, or skip a check at `low`. Use `high` for knowledge work, longer agent tasks, and strict instruction following. Use `xhigh` or `max` only where your evals show a quality gain, and compare them with Claude Sonnet 5.5 on performance, cost, and speed. Thinking is on by default and counts toward `max_tokens`, so leave room for it.
288
289To get less thinking, lower the effort level. You can also send `thinking: {"type": "disabled"}` at `high` effort or below. At `xhigh` or `max`, it returns a 400 error, so use adaptive thinking there: omit the `thinking` field or send `thinking: {"type": "adaptive"}`.
290
291On the Claude API and Claude Models on Google Cloud (Google managed), Claude Haiku 5.5 also supports [changing effort mid-conversation](https://platform.claude.com/docs/en/build-with-claude/effort#change-effort-mid-conversation-beta) with a per-message `output_config`, which preserves the prompt cache. With `thinking: {"type": "disabled"}`, effort can’t change mid-conversation: a per-message `output_config.effort` that differs from the level in effect returns a 400 error. To vary effort for each turn, use adaptive thinking.
292
293See also: [Prompting Claude Haiku 5.5](https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/prompting-claude-haiku-5-5#use-effort-to-control-thinking)
294
295**[Claude Fable 5](https://platform.claude.com/docs/en/models/fable-5/overview) & [Claude Mythos 5](https://platform.claude.com/docs/en/models/mythos-5/overview)**
296
297Effort is the primary control for trading off intelligence, latency, and cost on Claude Fable 5. **Start with `high`, the default, for most tasks**, use `xhigh` for the most capability-sensitive workloads, and step down to `medium` or `low` for routine work. Lower effort settings on Claude Fable 5 still perform well and often exceed `xhigh` performance on prior models. At `high` and `xhigh`, set a large `max_tokens`. It’s a hard limit on total output (thinking plus response text). See [Cost control](https://platform.claude.com/docs/en/build-with-claude/thinking-steering-and-cost#cost-control).
298
299Reduce effort if a task completes but takes longer than necessary, or if you want a faster, more interactive working style.
300
301See also: [Prompting Claude Fable 5](https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/prompting-claude-fable-5)
302
303**[Claude Opus 5](https://platform.claude.com/docs/en/models/opus-5/overview)**
304
271305Claude Opus 5 supports all five effort levels. **Start with `high`, the default**, and adjust based on your evals: step up to `xhigh` for demanding coding and agentic work, or to `max` when a task justifies unconstrained token spending. Use `low` and `medium` liberally as your primary control for token cost and response time wherever your evals show quality holds. If you carried effort settings over from an earlier model, run a fresh effort sweep on your evals rather than reusing them.
272306
273307Effort controls thinking volume, not visible response length: on Claude Opus 5, changing effort does not reliably shorten responses, so [prompt for length](https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/prompting-claude-opus-5#response-length-and-verbosity) instead.
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280314
281315Claude Opus 5 also supports [changing effort mid-conversation](https://platform.claude.com/docs/en/build-with-claude/effort#change-effort-mid-conversation-beta) with a per-message `output_config`, which preserves the prompt cache. Per-message effort isn’t available for Claude Opus 5 on Amazon Bedrock.
282316
283### Recommended effort levels for Claude Opus 4.8
317See also: [Prompting Claude Opus 5](https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/prompting-claude-opus-5)
284318
319**[Claude Opus 4.8](https://platform.claude.com/docs/en/models/opus-4-8/overview)**
320
285321The guidance for Claude Opus 4.7 also applies to Claude Opus 4.8. **Start with `xhigh` for coding and agentic use cases**, use `high` for most other intelligence-sensitive workloads, and step down to `medium` or `low` only when you’ve measured that the lower level holds quality on your evals.
286322
287323The API default is `high`. Set `effort` explicitly to use a different level. The value you pass overrides the default.
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288324
289325When running Claude Opus 4.8 at `xhigh` or `max` effort, set a large `max_tokens` so the model has room to think and act across subagents and tool calls. Starting at 64k tokens and tuning from there is a reasonable default.
290326
291### Recommended effort levels for Claude Opus 4.7
327See also: [Prompting Claude Opus 4.8](https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/prompting-claude-opus-4-8)
292328
329**[Claude Opus 4.7](https://platform.claude.com/docs/en/models/opus-4-7/overview)**
330
293331**Start with `xhigh` for coding and agentic use cases**, and use `high` as the minimum for most intelligence-sensitive workloads. Step down to `medium` for cost-sensitive workloads, or up to `max` only when your evals show measurable headroom at `xhigh`.
294332
295333The API default is `high`. To use `xhigh`, set `effort` explicitly. The value you pass overrides the default.
296334
297| Effort | Guidance for Claude Opus 4.7 |
298| -------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
299| `low` | Efficient, but best for short, scoped tasks. Pair `low` with explicit checklists if your task has multiple sections. |
300| `medium` | The setting for the average workflow where you want good results while reducing costs. |
301| `high` | Advanced use cases that still need a balance of intelligence and token consumption. This is often the best balance of quality and token efficiency. |
302| `xhigh` | The recommended starting point for coding and agentic work, and for exploratory tasks such as repeated tool calling, detailed web search, and knowledge-base search. Expect meaningfully higher token usage than `high`. |
303| `max` | Reserve for frontier problems. On most workloads `max` adds significant cost for relatively small quality gains, and on some structured-output or less intelligence-sensitive tasks it can lead to overthinking. |
335* **Low effort:** Efficient, but best for short, scoped tasks. Pair `low` with explicit checklists if your task has multiple sections.
336* **Medium effort:** The setting for the average workflow where you want good results while reducing costs.
337* **High effort:** Advanced use cases that still need a balance of intelligence and token consumption. This is often the best balance of quality and token efficiency.
338* **Xhigh effort:** The recommended starting point for coding and agentic work, and for exploratory tasks such as repeated tool calling, detailed web search, and knowledge-base search. Expect meaningfully higher token usage than `high`.
339* **Max effort:** Reserve for frontier problems. On most workloads `max` adds significant cost for relatively small quality gains, and on some structured-output or less intelligence-sensitive tasks it can lead to overthinking.
304340
305341Claude Opus 4.7 also respects effort levels more strictly than Claude Opus 4.6, especially at `low` and `medium`. At lower effort levels, the model scopes its work to what was asked rather than doing more than requested. If you observe shallow reasoning on complex problems with Claude Opus 4.7, raise effort rather than prompting around it. If you must keep effort low for latency, add targeted guidance such as “This task involves multistep reasoning. Think carefully before responding.”
306342
307343When running Claude Opus 4.7 at `xhigh` or `max` effort, set a large `max_tokens` so the model has room to think and act across subagents and tool calls. Starting at 64k tokens and tuning from there is a reasonable default.
308344
309### Recommended effort levels for Claude Sonnet 5.5
345See also: [Prompting best practices](https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/claude-prompting-best-practices)
310346
311Claude Sonnet 5.5 supports all five effort levels, and `high` is the default on the Claude API. Its levels are recalibrated, so a level doesn’t produce the same amount of thinking as the same level on Claude Sonnet 5. Run a fresh effort sweep on your evals rather than carrying over the setting you used on Claude Sonnet 5. Start with `high` unless your workload is agentic or latency-sensitive. For agentic coding and multistep tool use, start with `medium` for well-specified tasks and move to `high` for harder or longer ones. For chat and other latency-sensitive work, start with `medium` or `low`. Use `xhigh` or `max` only where your evals show a quality gain. Set `max_tokens` with room for thinking and the reply. Thinking counts toward `max_tokens` even when the thinking content isn’t returned. For agentic coding, set `max_tokens` to 128,000, the model’s maximum, and [stream](https://platform.claude.com/docs/en/build-with-claude/streaming) the response.
347**[Claude Sonnet 5](https://platform.claude.com/docs/en/models/sonnet-5/overview)**
312348
313To turn off up-front thinking, send `thinking: {"type": "between_tools"}` instead of `"disabled"`. It’s the lowest thinking setting on Claude Sonnet 5.5, and it works at `low`, `medium`, and `high` effort. At `xhigh` or `max`, a request with it returns a 400 error, so use adaptive thinking at those levels: omit the `thinking` field or send `thinking: {"type": "adaptive"}`. See [Running without up-front thinking](https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/prompting-claude-sonnet-5-5#running-without-up-front-thinking).
314
315Claude Sonnet 5.5 also supports [changing effort mid-conversation](https://platform.claude.com/docs/en/build-with-claude/effort#change-effort-mid-conversation-beta) with a per-message `output_config`, which preserves the prompt cache. With `between_tools`, effort can’t change mid-conversation: a per-message `output_config.effort` that differs from the level in effect returns a 400 error. To vary effort for each turn, use adaptive thinking. See [Prompting Claude Sonnet 5.5](https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/prompting-claude-sonnet-5-5#calibrate-effort).
316
317### Recommended effort levels for Claude Sonnet 5
318
319349Claude Sonnet 5 defaults to `high` effort on the Claude API and Claude Code.
320350
321351* **High effort (default):** Suitable for complex reasoning, coding, and agentic tasks where quality matters more than speed or cost.
322* **Xhigh effort:** For the hardest coding and agentic tasks. See [Prompting Claude Sonnet 5](https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/prompting-claude-sonnet-5#calibrating-effort-and-thinking-depth).
352* **Xhigh effort:** For the hardest coding and agentic tasks.
323353* **Medium effort:** Cost-saving step-down from the default. Comparable to Claude Sonnet 4.6 at high effort.
324354* **Low effort:** For high-volume or latency-sensitive workloads. Suitable for chat and non-coding use cases where faster turnaround is prioritized.
325355* **Max effort:** For tasks requiring the absolute highest capability with no constraints on token spending.
326356
327### Recommended effort levels for Claude Sonnet 4.6
357See also: [Prompting Claude Sonnet 5](https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/prompting-claude-sonnet-5#calibrating-effort-and-thinking-depth)
328358
359**[Claude Sonnet 4.6](https://platform.claude.com/docs/en/models/sonnet-4-6/overview)**
360
329361Sonnet 4.6 defaults to `high` effort. Explicitly set effort when using Sonnet 4.6 to avoid unexpected latency:
330362
331363* **Medium effort (recommended default):** Best balance of speed, cost, and performance for most applications. Suitable for agentic coding, tool-heavy workflows, and code generation.
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333365* **High effort:** For complex reasoning and tasks where quality matters more than speed or cost.
334366* **Max effort:** For tasks requiring the absolute highest capability with no constraints on token spending.
335367
336### Recommended effort levels for Claude Haiku 5.5
368See also: [Prompting best practices](https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/claude-prompting-best-practices)
337369
338Claude Haiku 5.5 supports all five effort levels, and `medium` is the default. Effort is the main control for how much the model thinks, and with it quality, latency, and cost. **Start with `medium`** for most work, including agentic coding. Use `low`, the cheapest and fastest level, for chat, short tool tasks, and simple, high-volume requests. In long agent prompts, the model is more likely to skip a search, stop early, or skip a check at `low`. Use `high` for knowledge work, longer agent tasks, and strict instruction following. Use `xhigh` or `max` only where your evals show a quality gain, and compare them with Claude Sonnet 5.5 on performance, cost, and speed. Thinking is on by default and counts toward `max_tokens`, so leave room for it. See [Prompting Claude Haiku 5.5](https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/prompting-claude-haiku-5-5#use-effort-to-control-thinking).
339
340To get less thinking, lower the effort level. You can also send `thinking: {"type": "disabled"}` at `high` effort or below. At `xhigh` or `max`, it returns a 400 error, so use adaptive thinking there: omit the `thinking` field or send `thinking: {"type": "adaptive"}`.
341
342On the Claude API and Claude Models on Google Cloud (Google managed), Claude Haiku 5.5 also supports [changing effort mid-conversation](https://platform.claude.com/docs/en/build-with-claude/effort#change-effort-mid-conversation-beta) with a per-message `output_config`, which preserves the prompt cache. With `thinking: {"type": "disabled"}`, effort can’t change mid-conversation: a per-message `output_config.effort` that differs from the level in effect returns a 400 error. To vary effort for each turn, use adaptive thinking.
343
344370## Effort with tool use
345371
346372When using tools, the effort parameter affects both the explanations around tool calls and the tool calls themselves. Lower effort levels tend to:
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678704 Understand how thinking works, when Claude thinks by default, and how thinking interacts with effort.
679705 </Card>
680706</CardGroup>
707
708## Availability
709
710Effort is available on select models and eligible for zero data retention and HIPAA readiness.
711
712### API support
713
714#### [Messages API](https://platform.claude.com/docs/en/build-with-claude/working-with-messages)
715
716* Availability: Always on
717* Usage: Set `output_config.effort` on the request. With no value, the model’s default level applies.
718
719| Status | Cloud platforms | Models |
720| --------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
721| Available | Claude API, [Claude Platform on AWS](https://platform.claude.com/docs/en/build-with-claude/claude-platform-on-aws), [Amazon Bedrock](https://platform.claude.com/docs/en/build-with-claude/claude-in-amazon-bedrock), [Amazon Bedrock (InvokeModel)](https://platform.claude.com/docs/en/build-with-claude/claude-on-amazon-bedrock-legacy), [Claude Models on Google Cloud (Google managed)](https://platform.claude.com/docs/en/build-with-claude/claude-models-on-google-cloud/google-managed), [Microsoft Foundry](https://platform.claude.com/docs/en/build-with-claude/claude-in-microsoft-foundry) | [Claude Fable 5.1](https://platform.claude.com/docs/en/models/fable-5-1/overview), [Claude Mythos 5.1](https://platform.claude.com/docs/en/models/mythos-5-1/overview), [Claude Fable 5](https://platform.claude.com/docs/en/models/fable-5/overview), [Claude Mythos 5](https://platform.claude.com/docs/en/models/mythos-5/overview), Claude Mythos Preview, [Claude Opus 5.5](https://platform.claude.com/docs/en/models/opus-5-5/overview), [Claude Opus 5](https://platform.claude.com/docs/en/models/opus-5/overview), [Claude Sonnet 5.5](https://platform.claude.com/docs/en/models/sonnet-5-5/overview), [Claude Sonnet 5](https://platform.claude.com/docs/en/models/sonnet-5/overview), [Claude Haiku 5.5](https://platform.claude.com/docs/en/models/haiku-5-5/overview), [Claude Opus 4.8](https://platform.claude.com/docs/en/models/opus-4-8/overview), [Claude Opus 4.7](https://platform.claude.com/docs/en/models/opus-4-7/overview), [Claude Opus 4.6](https://platform.claude.com/docs/en/models/opus-4-6/overview), [Claude Sonnet 4.6](https://platform.claude.com/docs/en/models/sonnet-4-6/overview), [Claude Opus 4.5](https://platform.claude.com/docs/en/models/opus-4-5/overview) |
722
723#### [Managed Agents](https://platform.claude.com/docs/en/managed-agents/overview)
724
725* Availability: Always on
726* Usage: Set `effort` on the agent’s model object, or in a session’s model override. With no value, Managed Agents fills in the model’s default.
727
728| Status | Cloud platforms | Models |
729| --------- | ------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
730| Available | Claude API, [Claude Platform on AWS](https://platform.claude.com/docs/en/build-with-claude/claude-platform-on-aws) | [Claude Fable 5.1](https://platform.claude.com/docs/en/models/fable-5-1/overview), [Claude Mythos 5.1](https://platform.claude.com/docs/en/models/mythos-5-1/overview), [Claude Fable 5](https://platform.claude.com/docs/en/models/fable-5/overview), [Claude Mythos 5](https://platform.claude.com/docs/en/models/mythos-5/overview), Claude Mythos Preview, [Claude Opus 5.5](https://platform.claude.com/docs/en/models/opus-5-5/overview), [Claude Opus 5](https://platform.claude.com/docs/en/models/opus-5/overview), [Claude Sonnet 5.5](https://platform.claude.com/docs/en/models/sonnet-5-5/overview), [Claude Sonnet 5](https://platform.claude.com/docs/en/models/sonnet-5/overview), [Claude Haiku 5.5](https://platform.claude.com/docs/en/models/haiku-5-5/overview), [Claude Opus 4.8](https://platform.claude.com/docs/en/models/opus-4-8/overview), [Claude Opus 4.7](https://platform.claude.com/docs/en/models/opus-4-7/overview), [Claude Opus 4.6](https://platform.claude.com/docs/en/models/opus-4-6/overview), [Claude Sonnet 4.6](https://platform.claude.com/docs/en/models/sonnet-4-6/overview), [Claude Opus 4.5](https://platform.claude.com/docs/en/models/opus-4-5/overview) |
731
732### Data handling
733
734[Data handling overview](https://platform.claude.com/docs/en/manage-claude/api-and-data-retention#feature-eligibility)
735
736| Item | Zero data retention | HIPAA |
737| ------ | --------------------------------------------------------------------------------------------------------------------------------------------------------- | -------- |
738| Status | Eligible (excludes [Covered Models](https://platform.claude.com/docs/en/manage-claude/api-and-data-retention#model-specific-data-retention-requirements)) | Eligible |
739
740Applicable endpoints:
741
742* `/v1/messages` with `effort`
681743
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