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claude-sonnet-5

Claude Sonnet 5 is the latest model in the Sonnet family and an upgrade to Sonnet 4.6, with gains in agentic coding and professional work. It delivers top-tier intelligence at Sonnet pricing, well suited to production agents, high-volume pipelines, and everyday professional work like document drafting, spreadsheet analysis, and presentations.

VisionReasoningTool callingCachingJSON schemaComputer use
CompareDocs

Specifications

Context window1M tokens
Max output128K tokens
API typechat
AddedJul 23, 2026
Model IDbedrock/claude-sonnet-5@us-east-2
Data retentionNo
Used for trainingNo
Provider location🇺🇸 US / 🇪🇺 EU
Privacy policyAWS Privacy Notice→

Benchmarks

Released 2026-06-30
Coding Indexcoding
71.5%

Artificial Analysis Coding Index — a composite of coding evaluations including LiveCodeBench, SciCode and Terminal-Bench.

GPQA Diamondreasoning
91.1%

Graduate-level physics, chemistry & biology questions designed to resist Googling.

Intelligence Indexreasoning
53.4%

Artificial Analysis Intelligence Index — a composite of multiple evaluations measuring overall model capability.

Scores are sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and do not capture every aspect of model quality. Always test on your own workload.

Pricing

Prices updated July 24, 2026
Input / 1M
$2.20
Output / 1M
$11.00
Cache write / 1M
$2.75
Cache read / 1M
$0.22
Estimated cost
100K input + 10K output$0.33
1M input + 100K output$3.30
10M input + 1M output$33.00

Requesty charges exactly what the upstream provider charges, no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to bedrock/claude-sonnet-5@us-east-2.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="bedrock/claude-sonnet-5@us-east-2",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

Other AWS Bedrock models

claude-opus-5
@eu-central-1
1M ctx$5.50/1M
claude-opus-5
@eu-west-3
1M ctx$5.50/1M
claude-sonnet-5
@ap-southeast-2
1M ctx$2.20/1M
Coding 72
claude-sonnet-5
@eu-north-1
1M ctx$2.20/1M
Coding 72
claude-sonnet-5
@eu-west-2
1M ctx$2.20/1M
Coding 72
claude-sonnet-5
@us-west-2
1M ctx$2.20/1M
Coding 72

Frequently asked questions

How much does claude-sonnet-5 cost?
claude-sonnet-5 is priced at $2.20 per million input tokens and $11.00 per million output tokens when accessed via Requesty. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. Requesty charges exactly what the upstream provider charges, we don't add markup.
What is the context window of claude-sonnet-5?
claude-sonnet-5 has a context window of 1M tokens, with a maximum output of 128K tokens per response. That's roughly 1,333 words of input you can fit in a single prompt.
How does claude-sonnet-5 perform on benchmarks?
claude-sonnet-5 scores 91.1% on GPQA Diamond, 71.5% on Coding Index, 53.6% on SciCode. See the full benchmark chart above for results across MMLU Pro, GPQA Diamond, SWE-Bench Verified, HumanEval, MATH, AIME, MMMU, and LiveBench.
What can claude-sonnet-5 do?
claude-sonnet-5 supports vision input, tool calling, extended reasoning, prompt caching, structured outputs (JSON schema), computer use. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use claude-sonnet-5 with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "bedrock/claude-sonnet-5@us-east-2". The Quickstart above shows Python, JavaScript and cURL snippets.
Can I run claude-sonnet-5 through Requesty?
Yes. claude-sonnet-5 runs through Requesty's OpenAI-compatible API, served from AWS Bedrock in us-east-2. You do not host the model yourself: point base_url at Requesty, set the model to "bedrock/claude-sonnet-5@us-east-2", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.
What region is this deployment?
This variant of claude-sonnet-5 is deployed in us-east-2. Region-specific endpoints matter for data residency, latency to your users, and compliance requirements (GDPR, HIPAA). Other regions for the same model may be listed on the AWS Bedrock provider page.

Access claude-sonnet-5 through Requesty

One API key, 600+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

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