POST /v1/messagesClaude Opus 4.6
claude-opus-4.6Claude Opus 4.6 is described as a very strong Anthropic model for complicated requests that require concrete planning and polished execution. Official materials emphasize following through: breaking work into steps, executing, and delivering refined results. It is best framed as a high-autonomy model for complex professional work.
Total Context
1Mtokens
Max Output
128Ktokens
Released
Feb 5, 2026
Modalities
Claude Opus 4.6 Price
| Input Price | Output Price | Cache Read | Cache Create 5m |
|---|---|---|---|
| $5/M | $25/M | $0.5/M | $6.25/M |
Claude Opus 4.6 API
Claude Opus 4.6 Benchmark
37.8
/100
Artificial Analysis Intelligence Index
Artificial Analysis broad capability aggregate
Index score
47.6
/100
Artificial Analysis Coding Index
Artificial Analysis software task aggregate
Index score
Knowledge & Reasoning
GPQA
Advanced science problem solving
84%
HLE
Broad expert-level exam set
18.6%
Coding & Engineering
SciCode
Scientific coding challenges
45.7%
Terminal-Bench Hard
Hard terminal task execution
48.5%
Instruction Following & Agent Tasks
IFBench
Prompt constraint adherence
44.6%
AA-LCR
Long-context reasoning
58.3%
τ²-Bench
Agent workflow tasks
84.8%
Metrics sourced from Artificial Analysis
Frequently asked questions about Claude Opus 4.6
Understand what Claude Opus 4.6 is, its best uses, distinguishing strengths, practical tradeoffs, and safe TokenHub integration guidance.
What is the intended positioning of Claude Opus 4.6?+
Claude Opus 4.6 is a powerful Opus model for complex coding, research, and agentic professional workflows. It remains a defined model generation, but newer models in the same family may be preferable for new evaluations.
Is Claude Opus 4.6 a good choice for difficult software-engineering tasks?+
Best-fit scenarios include difficult software-engineering tasks, deep research and evidence synthesis, and professional document and decision analysis. Test representative inputs and define measurable acceptance criteria before production.
Which strengths distinguish Claude Opus 4.6 from nearby options?+
Key strengths include strong reasoning on difficult problems, reliable execution of multi-step agent workflows, and effective use of tools and function calls. This combination is especially useful for deep research and evidence synthesis.
Which workloads are a poor fit for Claude Opus 4.6?+
Consider another model when the project can benefit from a newer Opus generation, the workload is simple enough for a smaller model, or the workflow cannot include human review for important decisions. Run generated code through tests, security checks, and human review before merging or deployment.
Which TokenHub details matter when configuring Claude Opus 4.6?+
In TokenHub, select the exact model identifier displayed for Claude Opus 4.6, use the endpoint documented for your account, and authenticate with your TokenHub credentials. Check the TokenHub model page for the available Claude features, context limits, tool support, and current model status for your account.
Media and Discussions
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