Claude Opus 4.6

anthropic/claude-opus-4.6
VisionToolsJSONReasoning
by Anthropic · 2026-02-04

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...

Endpoints:/v1/chat/completions/v1/messages
ctx1M tokens
Max output128K
Inputtext + image + file
Outputtext
p50 TTFT5.83 s
INPUT$5.00/ 1M tokens
OUTPUT$25.00/ 1M tokens
p50 TTFT5.83 s7d
p95 TTFT10.00 s7d
TRAFFIC1.2Mtokens / 7d
Get the Claude Opus 4.6 API →▶ Try in playground</> Use via API

Code samples

Call from any SDK

OpenAI-compatible — keep the SDK you already use

  • OpenAI SDKhttps://api.orcarouter.ai/v1
  • Anthropic SDKhttps://api.orcarouter.ai
from openai import OpenAI

client = OpenAI(
    base_url="https://api.orcarouter.ai/v1",
    api_key="$ORCAROUTER_API_KEY",
)

response = client.chat.completions.create(
    model="anthropic/claude-opus-4.6",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Supported parameters

  • include_reasoning
  • max_tokens
  • output_config
  • reasoning
  • response_format
  • stop
  • stream
  • structured_outputs
  • temperature
  • thinking
  • tool_choice
  • tools
  • top_p

Pricing

Input / 1M tokens$5.00
Output / 1M tokens$25.00
Cache read / 1M$0.500
Cache write / 1M$6.25
CurrencyUSD

Cost calculator

Tokens / month10MM
Input share70%%
Estimated / month $110 · With prompt caching $94.25

Estimate based on list price

Token & cost estimator

Input tokens: 20Cost per request: $0.0126

Estimate only — actual token counts depend on the provider's tokenizer.

Performance

last 7 days
p50 TTFT
5.83 s
Output speed
63.6 tok/s
p95 TTFT
10.00 s
Error rate
7.5%

Public benchmarks

Last evaluated 2026-02-05
47.6
AA Coding
Better than 63% of models compared
#39 of 106
46.5
AA Intelligence
Better than 55% of models compared
#49 of 110
GPQA Diamond
84.0
Humanity's Last Exam
18.6
IFBench
44.6
Long-Context Recall
58.3
SciCode
45.7
TerminalBench Hard
48.5
τ²-Bench
84.8
Source: artificialanalysis.ai

How it compares

Claude Opus 4.6Claude Fable 5Claude Opus 4.7Claude Opus 4.8
Input $/M$5.00$10.00$5.00$5.00
Output $/M$25.00$50.00$25.00$25.00
Context1.0M1.0M1.0M1.0M
Quality9/1010/1010/1010/10
Compare side-by-sideCompare side-by-sideCompare side-by-sideCompare side-by-side

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anthropic/claude-opus-4.5
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200K ctx· quality 8/10
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Claude Sonnet 4.6
anthropic/claude-sonnet-4.6
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1M ctx· quality 8/10
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FAQ

How much does Anthropic: Claude Opus 4.6 cost on OrcaRouter?
Anthropic: Claude Opus 4.6 is priced at $5.00 per 1M input tokens and $25.00 per 1M output tokens via OrcaRouter. Pricing is pulled live from the routing layer.
What is Anthropic: Claude Opus 4.6's context window?
Anthropic: Claude Opus 4.6 supports a context window of 1M tokens. Use long-context features (RAG, summarisation) up to that limit.
How do I call Anthropic: Claude Opus 4.6 via the OpenAI SDK?
Set OpenAI base_url to https://api.orcarouter.ai/v1, supply your OrcaRouter API key, and pass model="anthropic/claude-opus-4.6" in the chat.completions.create call.
Does OrcaRouter rate-limit Anthropic: Claude Opus 4.6?
Per-model rate limits follow your OrcaRouter plan. Free tiers ship with conservative caps; paid tiers lift them. Check /pricing for current quotas.

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Model card as data

GET /api/public/models/anthropic/claude-opus-4.6Open
Machine-readable:/llms.txt/llms-full.txt