Claude Sonnet 5 API model profile

Evidence snapshot:

Claude Sonnet 5 is a Anthropic model profile with a 1,000,000-token context window. The dated catalog snapshot records text, image, file modalities and interfaces for agentic, coding, file input, prompt caching, reasoning.

Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max, and x-high), a 1M-token context window, and text, image, and file inputs. Sonnet 5 uses an updated tokenizer and includes real-time cyber safeguards that block certain high-risk dual-use activities.

Claude Sonnet 5 is mid-catalog on every dimension this snapshot measures. Pick it when it is already in your stack or when the specifics below match the job, not because a number here stands out.

Claude Sonnet 5 is available under the Kendr alias kc-claude-sonnet-5. Current account availability and customer credit quotes come from Kendr's live public model API and applicable account policy.

Claude Sonnet 5 accepts text, image, and file and returns text. The snapshot records agentic, coding, file input, prompt caching, reasoning, reasoning controls, structured output, text generation, tool calling, tools, vision, web search, and web search pricing as capabilities or interfaces.

The dated reference snapshot lists $2 input and $10 output per million tokens. Cached input is $0.2 per million tokens. The separately published provider-route reference is $2 / $10* (Introductory through Aug 31, 2026).

The 2026-09-06 snapshot includes 3 Artificial Analysis indexes, 16 Design Arena categories, and AutoExacto results for 11 provider observations. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable.

Claude Sonnet 5 ranked #19 in the cited trailing-7-day third-party catalog usage dataset as of 2026-09-06. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.

Profile data was reviewed for the 2026-09-06 snapshot. Claims retain their source dates, and unavailable fields are shown as unavailable instead of estimated.

Profile facts

Profile type
Kendr API model
Kendr API alias
kc-claude-sonnet-5
Model developer
Anthropic
Kendr route provider
Anthropic
Context window
1M
Snapshot date
2026-09-06
Knowledge cutoff
Not disclosed
Reference catalog ID
anthropic/claude-sonnet-5

When to pick Claude Sonnet 5

Claude Sonnet 5 is mid-catalog on every dimension this snapshot measures. Pick it when it is already in your stack or when the specifics below match the job, not because a number here stands out.

Each condition below is derived from this model's own values in the 2026-09-06 snapshot, compared only against models publishing the same field.

  • Reach for it when the input includes images. The snapshot records image input, so screenshots, scans, and diagrams can be sent directly instead of described.
  • Reach for it when the model has to call tools. Tool calling is recorded in the snapshot, so this route can drive an agent loop rather than only answer in prose.
  • Reach for it when you want to trade depth against cost per call. Reasoning effort is selectable across max, xhigh, high, medium, low, so one route can serve both cheap and deep work.

Context, modalities, and identity

Claude Sonnet 5 accepts text, image, and file and returns text. The snapshot records agentic, coding, file input, prompt caching, reasoning, reasoning controls, structured output, text generation, tool calling, tools, vision, web search, and web search pricing as capabilities or interfaces.

Model developer
Anthropic
Kendr route provider
Anthropic
Context window
1M
Maximum output
128,000 tokens
Input modalities
text, image, and file
Output modalities
text
Knowledge cutoff
Not disclosed

Model overview

Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max, and x-high), a 1M-token context window, and text, image, and file inputs. Sonnet 5 uses an updated tokenizer and includes real-time cyber safeguards that block certain high-risk dual-use activities.

Reference model ID
anthropic/claude-sonnet-5
Canonical version
anthropic/claude-sonnet-5-20260630
Hugging Face ID
Not separately documented

Capabilities and supported controls

Capabilities and parameters are reported from the dated catalog and source records; their presence does not guarantee identical behavior across every provider route.

Supported parameters
include_reasoning, max_completion_tokens, max_tokens, reasoning, reasoning_effort, response_format, stop, structured_outputs, tool_choice, tools, verbosity
  • agentic
  • coding
  • file input
  • prompt caching
  • reasoning
  • reasoning controls
  • structured output
  • text generation
  • tool calling
  • tools
  • vision
  • web search
  • web search pricing

Dated pricing snapshot

The dated reference snapshot lists $2 input and $10 output per million tokens. Cached input is $0.2 per million tokens. The separately published provider-route reference is $2 / $10* (Introductory through Aug 31, 2026).

Reference figures are dated 2026-09-06; the live Kendr quote can differ by selected provider route, context tier, caching, tools, region, and current rate card.

Price date
2026-09-06
Input
$2 per 1M tokens
Cached input
$0.2 per 1M tokens
Output
$10 per 1M tokens

Provider routes, performance, and uptime

The snapshot retains 9 provider endpoints. Provider prices, context limits, p50 performance, and uptime can differ by route and are not Kendr guarantees.

Active provider endpoints
9
Best p50 latency
0.95 s
Best p50 throughput
63 tok/s
Availability with routing
99.95% over the sampled window
Availability without routing
88.33% over the sampled window
Performance date
2026-09-06
ProviderQuantizationInput / 1MOutput / 1MCache read / 1MContextp50 latencyp50 throughputUptime (1d)
Claude Platform on AWSunknown$2 / 1M$10 / 1M$0.2 / 1M1,000,000 tokens2.65 s55 tok/s99.98%
Azure (US)unknown$2 / 1M$10 / 1M$0.2 / 1M1,000,000 tokens0.95 s63 tok/s99.97%
Azureunknown$2 / 1M$10 / 1M$0.2 / 1M1,000,000 tokens1.04 s59 tok/s99.82%
Google Vertex (Global)unknown$2 / 1M$10 / 1M$0.2 / 1M1,000,000 tokens3.65 s62 tok/s99.93%
Amazon Bedrock (Global)unknown$2 / 1M$10 / 1M$0.2 / 1M1,000,000 tokens2.26 s54 tok/s99.97%
Anthropicunknown$2 / 1M$10 / 1M$0.2 / 1M1,000,000 tokens2.00 s63 tok/s99.99%
Google Vertex (US)unknown$2.2 / 1M$11 / 1M$0.22 / 1M1,000,000 tokensNo recent p50No recent p50100.00%
Google Vertex (Europe)unknown$2.2 / 1M$11 / 1M$0.22 / 1M1,000,000 tokens3.58 s59.5 tok/s99.95%
Amazon Bedrock (US)unknown$2.2 / 1M$11 / 1M$0.22 / 1M1,000,000 tokens3.35 s63 tok/s100.00%

Benchmark evidence and limitations

The 2026-09-06 snapshot includes 3 Artificial Analysis indexes, 16 Design Arena categories, and AutoExacto results for 11 provider observations. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable.

Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

Intelligence Index
45.1
Coding Index
71.5
Agentic Index
44.5
AutoExacto coverage
11 provider observations over 32 days
Design Arena categoryEloWin rateRank
agenticgamedev122251.5%#7
androidnative125055.2%#9
fullstack125156.4%#8
godotgamedev126860.4%#3
htmlslides122553.8%#5
mobileapps126756.3%#5
python-pptxslides123451.9%#9
webapps127456.2%#5
3d129655.2%#19
asciiart123252.5%#16
codecategories129353.9%#16
dataviz126152.5%#24
gamedev132255.1%#11
svg122552%#21
uicomponent130255.1%#14
website129053.7%#16

AutoExacto provider benchmarks

Rolling provider observations from the cited third-party benchmark view. The lookback is 32 days; GPQA Diamond and TAU-Bench Airline measure different abilities and should not be blended into one score.

ProviderGPQA DiamondTAU-Bench AirlineRuns
Amazon Bedrock83.35%75.67%5
Amazon Bedrock (Global)83.08%75.73%5
Anthropic83.21%76.84%5
auto-routing80.75%76.26%5
Azure83.24%75.13%5
Azure (US)84.61%76.3%5
Claude Platform on AWS79.57%77.49%4
Claude Platform on AWS83.43%79.55%2
Google Vertex (Europe)81.59%75.69%5
Google Vertex (Global)82.62%78.3%5
Google Vertex (US)82.46%77.64%5

Popularity and market context

Claude Sonnet 5 ranked #19 in the cited trailing-7-day third-party catalog usage dataset as of 2026-09-06. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.

Third-party catalog rank
#19
Global market share
Not inferred
Observation date
2026-09-06

OpenAI-compatible API example

This example applies to the published Kendr alias on this hosted profile. Check the live public catalog before use.

curl https://api.kendr.org/v1/chat/completions \
  -H "Authorization: Bearer $KENDR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"kc-claude-sonnet-5","messages":[{"role":"user","content":"Hello"}]}'

Frequently asked questions

When should I use Claude Sonnet 5?

Claude Sonnet 5 is mid-catalog on every dimension this snapshot measures. Pick it when it is already in your stack or when the specifics below match the job, not because a number here stands out. Reach for it when the input includes images: The snapshot records image input, so screenshots, scans, and diagrams can be sent directly instead of described. Reach for it when the model has to call tools: Tool calling is recorded in the snapshot, so this route can drive an agent loop rather than only answer in prose. Reach for it when you want to trade depth against cost per call: Reasoning effort is selectable across max, xhigh, high, medium, low, so one route can serve both cheap and deep work.

What is Claude Sonnet 5?

Claude Sonnet 5 is a Anthropic model profile with a 1,000,000-token context window. The dated catalog snapshot records text, image, file modalities and interfaces for agentic, coding, file input, prompt caching, reasoning.

What context window does Claude Sonnet 5 have?

The dated profile lists 1M of context and up to 128,000 output tokens. Provider routes, variants, and runtime configuration can impose lower effective limits.

What benchmark evidence is available for Claude Sonnet 5?

The 2026-09-06 snapshot includes 3 Artificial Analysis indexes, 16 Design Arena categories, and AutoExacto results for 11 provider observations. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable. Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

What is the Kendr API alias for Claude Sonnet 5?

Use kc-claude-sonnet-5 as the model value. The live public model API and signed-in catalog remain authoritative for route availability and customer credit quotes.

How is Claude Sonnet 5 priced on Kendr?

The dated reference snapshot lists $2 input and $10 output per million tokens. Cached input is $0.2 per million tokens. The separately published provider-route reference is $2 / $10* (Introductory through Aug 31, 2026). Kendr applies one 5% markup to configured provider model cost; the live quote and settled routing receipt are authoritative for a request.

Sources and evidence dates

  1. Claude Sonnet 5 third-party catalog record (catalog, checked 2026-09-06)
  2. Third-party model catalog methodology (methodology, checked 2026-09-06)
  3. Anthropic official model documentation (primary, checked 2026-09-06)
  4. Artificial Analysis capability indices methodology (benchmark, checked 2026-09-06)
  5. Design Arena leaderboard and methodology (benchmark, checked 2026-09-06)
  6. Claude Sonnet 5 third-party catalog record (benchmark, checked 2026-09-06)
  7. Claude Sonnet 5 provider or route reference (primary, checked 2026-09-06)