> ## Documentation Index
> Fetch the complete documentation index at: https://docs.llmeasy.ru/llms.txt
> Use this file to discover all available pages before exploring further.

# Claude Sonnet 5 is live

> LLMEasy updated Claude Sonnet 5 on July 1, 2026 for Claude Code, coding agents, long-context work, and workflows that need a stronger Sonnet model.

Release date: July 1, 2026

LLMEasy has updated the `Claude Sonnet 5` model entry. Check the <a href={"https://www.llmeasy.ru/pricing"}>model plaza</a> for the currently available model ID and live pricing, then configure it through the Claude Code or external-tool setup guide that matches your client.

`Claude Sonnet 5` is the next generation of the Sonnet family. Anthropic positions it as an upgrade from `Claude Sonnet 4.6`, with the largest improvements in coding, agentic tasks, and professional work.

## Highlights

* **Better fit for coding and agent work**: Anthropic says Sonnet 5's largest gains over Sonnet 4.6 are in coding and agentic tasks
* **Larger context window**: Sonnet 5 supports a `1M tokens` context window by default and up to `128K tokens` of output
* **Adaptive thinking is on by default**: Requests without a `thinking` field run with adaptive thinking
* **Low migration effort**: If you already use Sonnet 4.6, most requests can move by changing the model ID to `claude-sonnet-5`
* **Clearer safety behavior**: For high-risk cybersecurity content, the model may return a refusal with `stop_reason: "refusal"` instead of an HTTP error

## Migration notes

If you are moving from Sonnet 4.6 to Sonnet 5, review these settings first:

* **Revisit `max_tokens`**: The thinking trace and final answer share the same output limit, so tasks close to the limit may need more room
* **Remove manual thinking budgets**: `thinking: { "type": "enabled", "budget_tokens": ... }` is no longer supported on Sonnet 5; use adaptive thinking instead
* **Do not set non-default sampling parameters**: Non-default `temperature`, `top_p`, or `top_k` can return a `400` error
* **Recount tokens**: Sonnet 5 uses a new tokenizer, so the same text can produce more tokens than on Sonnet 4.6

## Setup guidance

If you use Claude Code, start with the [Claude Code setup guide](/en/ai-tools/claude-code). Different Key groups use different protocols and model configuration patterns:

* `Claude` group: use `https://www.llmeasy.ru`
* `GPT` group or external tools: follow the relevant tool guide with `https://www.llmeasy.ru/v1`

Use the model name currently shown in the <a href={"https://www.llmeasy.ru/pricing"}>model plaza</a>. Do not hardcode a model name that is not shown there.

<Tip>
  If you run long-context coding tasks, automatic fixes, code review, or multi-step agent workflows, test `claude-sonnet-5` first. If your workload is cost-sensitive, estimate cost from the model plaza pricing before switching.
</Tip>

## References

* [What's new in Claude Sonnet 5](https://platform.claude.com/docs/en/about-claude/models/whats-new-sonnet-5)
* [Claude Sonnet 5 - Amazon Bedrock](https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-anthropic-claude-sonnet-5.html)