Claude Opus 4.6 model profile

Evidence snapshot:

Claude Opus 4.6 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 file input, prompt caching, reasoning controls, structured output, text generation.

Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective for large codebases, complex refactors, and multi-step debugging that unfolds over time. The model shows deeper contextual understanding, stronger problem decomposition, and greater reliability on hard engineering tasks than prior generations. Beyond coding, Opus 4.6 excels at sustained knowledge work. It produces near-production-ready documents, plans, and analyses in a single pass, and maintains coherence across very long outputs and extended sessions. This makes it a strong default for tasks that require persistence, judgment, and follow-through, such as technical design, migration planning, and end-to-end project execution. For users upgrading from earlier Opus versions, see our official migration guide here

Claude Opus 4.6 is a reference profile: Anthropic publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call.

Claude Opus 4.6 is an independent knowledge profile. It does not claim that Kendr hosts the model, quote a Kendr customer price, promise API availability, or advertise a Kendr routing receipt.

Claude Opus 4.6 accepts text, image, and file and returns text. The snapshot records file input, prompt caching, reasoning controls, structured output, text generation, tool calling, vision, and web search pricing as capabilities or interfaces.

The dated reference snapshot lists $5 input and $25 output per million tokens. Cached input is $0.5 per million tokens.

The 2026-09-06 snapshot includes 12 Design Arena categories and AutoExacto results for 8 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 Opus 4.6 ranked #61 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
Model research profile
Provider or publisher
Anthropic
Context window
1,000,000 tokens
Snapshot date
2026-09-06
Knowledge cutoff
Not disclosed
Reference catalog ID
anthropic/claude-opus-4.6

When to pick Claude Opus 4.6

Claude Opus 4.6 is a reference profile: Anthropic publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call.

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, high, medium, low, so one route can serve both cheap and deep work.
  • Look elsewhere when you need to call it through Kendr today. This is a research reference profile with no Kendr alias. The facts and evidence here are published for comparison; the model is not routable on Kendr.
  • Look elsewhere when the work does not justify the rate. At $5 in and $25 out per 1M tokens, this is in the most expensive tenth of the 146 models publishing both rates. Route routine or high-volume traffic to a cheaper model and keep this one for work that needs it.

Context, modalities, and identity

Claude Opus 4.6 accepts text, image, and file and returns text. The snapshot records file input, prompt caching, reasoning controls, structured output, text generation, tool calling, vision, and web search pricing as capabilities or interfaces.

Provider or publisher
Anthropic
Context window
1,000,000 tokens
Maximum output
128,000 tokens
Input modalities
text, image, and file
Output modalities
text
Knowledge cutoff
Not disclosed

Model overview

Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective for large codebases, complex refactors, and multi-step debugging that unfolds over time. The model shows deeper contextual understanding, stronger problem decomposition, and greater reliability on hard engineering tasks than prior generations. Beyond coding, Opus 4.6 excels at sustained knowledge work. It produces near-production-ready documents, plans, and analyses in a single pass, and maintains coherence across very long outputs and extended sessions. This makes it a strong default for tasks that require persistence, judgment, and follow-through, such as technical design, migration planning, and end-to-end project execution. For users upgrading from earlier Opus versions, see our official migration guide here

Reference model ID
anthropic/claude-opus-4.6
Canonical version
anthropic/claude-4.6-opus-20260205
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, temperature, tool_choice, tools, top_k, top_p, verbosity
  • file input
  • prompt caching
  • reasoning controls
  • structured output
  • text generation
  • tool calling
  • vision
  • web search pricing

Dated pricing snapshot

The dated reference snapshot lists $5 input and $25 output per million tokens. Cached input is $0.5 per million tokens.

These are dated third-party reference prices, not Kendr prices or an availability offer. Routes, tiers, caching, region, and provider policy can change the landed price.

Price date
2026-09-06
Input
$5 per 1M tokens
Cached input
$0.5 per 1M tokens
Output
$25 per 1M tokens

Provider routes, performance, and uptime

The snapshot retains 6 provider endpoints. Provider prices, context limits, p50 performance, and uptime can differ by route and are not Kendr guarantees.

Active provider endpoints
6
Best p50 latency
1.43 s
Best p50 throughput
45 tok/s
Availability with routing
99.98% over the sampled window
Availability without routing
95.91% over the sampled window
Performance date
2026-09-06
ProviderQuantizationInput / 1MOutput / 1MCache read / 1MContextp50 latencyp50 throughputUptime (1d)
Claude Platform on AWSunknown$5 / 1M$25 / 1M$0.5 / 1M1,000,000 tokens1.43 s39 tok/s99.96%
Azureunknown$5 / 1M$25 / 1M$0.5 / 1M1,000,000 tokens1.82 s35 tok/s100.00%
Google Vertexunknown$5 / 1M$25 / 1M$0.5 / 1M1,000,000 tokens1.79 s45 tok/s99.92%
Amazon Bedrockunknown$5 / 1M$25 / 1M$0.5 / 1M1,000,000 tokens1.60 s39 tok/s99.97%
Anthropicunknown$5 / 1M$25 / 1M$0.5 / 1M1,000,000 tokens2.67 s30 tok/s99.94%
Google Vertex (Europe)unknown$5.5 / 1M$27.5 / 1M$0.55 / 1M1,000,000 tokens2.87 s32 tok/s100.00%

Benchmark evidence and limitations

The 2026-09-06 snapshot includes 12 Design Arena categories and AutoExacto results for 8 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.

AutoExacto coverage
8 provider observations over 32 days
Design Arena categoryEloWin rateRank
androidnative122665%#11
fullstack122461.9%#10
mobileapps124460.4%#11
webapps123057.7%#15
3d131262.5%#13
asciiart127763.2%#11
codecategories130661.2%#13
dataviz130058.6%#11
gamedev130861%#14
svg126360.9%#10
uicomponent130759.9%#12
website130461.2%#12

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 Bedrock85.95%76.31%5
Anthropic84.41%76.26%5
auto-routing85.44%75.1%5
Azure84.82%74.57%5
Claude Platform on AWS86.08%78.91%2
Claude Platform on AWS82.93%73.14%4
Google Vertex84.66%75.85%5
Google Vertex (Europe)84.18%74.57%5

Popularity and market context

Claude Opus 4.6 ranked #61 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
#61
Global market share
Not inferred
Observation date
2026-09-06

Frequently asked questions

When should I use Claude Opus 4.6?

Claude Opus 4.6 is a reference profile: Anthropic publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call. 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, high, medium, low, so one route can serve both cheap and deep work. Look elsewhere when you need to call it through Kendr today: This is a research reference profile with no Kendr alias. The facts and evidence here are published for comparison; the model is not routable on Kendr. Look elsewhere when the work does not justify the rate: At $5 in and $25 out per 1M tokens, this is in the most expensive tenth of the 146 models publishing both rates. Route routine or high-volume traffic to a cheaper model and keep this one for work that needs it.

What is Claude Opus 4.6?

Claude Opus 4.6 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 file input, prompt caching, reasoning controls, structured output, text generation.

What context window does Claude Opus 4.6 have?

The dated profile lists 1,000,000 tokens 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 Opus 4.6?

The 2026-09-06 snapshot includes 12 Design Arena categories and AutoExacto results for 8 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.

Is Claude Opus 4.6 available through Kendr?

This is an independent knowledge profile, not a Kendr-hosted availability claim. Check Kendr's live public model API for currently enabled Kendr aliases.

Does the popularity rank represent Claude Opus 4.6's global market share?

Claude Opus 4.6 ranked #61 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. No global market-share percentage is inferred when the source does not publish one.

Sources and evidence dates

  1. Claude Opus 4.6 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. Design Arena leaderboard and methodology (benchmark, checked 2026-09-06)
  5. Claude Opus 4.6 third-party catalog record (benchmark, checked 2026-09-06)