Claude Opus 5 API model profile

Profile facts

Profile type

Kendr API model

Kendr API alias

kc-claude-opus-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-opus-5

When to pick Claude Opus 5

Claude Opus 5 is worth reaching for when you need a route priced in the most expensive tenth of the catalog and scoring in the top quarter on the published intelligence index. The conditions below are the ones its own numbers support.

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 answer quality matters more than unit cost. It scores 54.1 on the Artificial Analysis intelligence index, above three quarters of the 32 models carrying that field in the 2026-09-06 snapshot.
• 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.
• 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 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

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis of charts and documents, complex office deliverables, and coordinating parallel subagents. The model maintains strong instruction following and tool use across extended tasks, while remaining effective at lower effort settings for workloads that prioritize latency and token efficiency.

Reference model ID

anthropic/claude-opus-5

Canonical version

anthropic/claude-opus-5-20260723

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, 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 $5 input and $25 output per million tokens. Cached input is $0.5 per million tokens. The separately published provider-route reference is $5.50 / $27.50 ($0.55/M cached; $6.875/M 5m cache write (US profile)).

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

$5 per 1M tokens

Cached input

$0.5 per 1M tokens

Output

$25 per 1M tokens

Provider routes, performance, and uptime

The snapshot retains 10 provider endpoints. Provider prices, context limits, p50 performance, and uptime can differ by route and are not Kendr guarantees.

Active provider endpoints

10

Best p50 latency

1.01 s

Best p50 throughput

114 tok/s

Availability with routing

99.98% over the sampled window

Availability without routing

40.94% over the sampled window

Performance date

2026-09-06

Benchmark evidence and limitations

The 2026-09-06 snapshot includes 3 Artificial Analysis indexes, 14 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

54.1

Coding Index

78

Agentic Index

56.4

AutoExacto coverage

11 provider observations over 32 days

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.

Popularity and market context

Claude Opus 5 ranked #15 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

#15

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-opus-5","messages":[{"role":"user","content":"Hello"}]}'

Frequently asked questions

Sources and evidence dates

1. Claude Opus 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 Opus 5 third-party catalog record (benchmark, checked 2026-09-06)
7. Claude Opus 5 provider or route reference (primary, checked 2026-09-06)