56
OpenTools Scorenormalized /100
3.7
Valuescore / $M
Context1M tokens
Price (In / Out)$5.00/M / $25.00/M
CategoryMultimodal LLM
Max Output128K tokens
About Claude Opus 4.6
Claude Opus 4.6 is a multimodal LLM from Anthropic with adaptive reasoning capabilities. Achieves 91.3% on GPQA Diamond and 80.8% on SWE-bench Verified. Supports up to 1,000,000 token context window. Available from $5.00/M input tokens.
Capabilities
textvisioncodetool use
Input Modalities
textimage
Output Modalities
text
Technical Details
- API Identifier
- anthropic/claude-opus-4.6
- Category
- Multimodal LLM
- Context Window
- 1,000,000 tokens
- Max Output Tokens
- 128,000 tokens
Tags
multimodallong-context
Benchmarks
Performance scores for Claude Opus 4.6 across standard benchmarks.
MMLUAnthropic · Feb 2026
89.8%
GPQA DiamondAnthropic · Feb 2026
91.3%
SWE-bench VerifiedAnthropic · Feb 2026
80.8%
SWE-bench ProAnthropic · Feb 2026
53.4%
Terminal-Bench 2.0Anthropic · Feb 2026
65.4%
MATH 500Anthropic · Feb 2026
80.7%
LiveCodeBenchAnthropic · Feb 2026
55.9%
Berkeley Function CallingAnthropic · Feb 2026
91.9%
HLEAnthropic · Feb 2026
48%
MCP-AtlasAnthropic · Feb 2026
75.8%
BrowseCompAnthropic · Feb 2026
83.7%
OSWorld-VerifiedAnthropic · Feb 2026
72.7%
DocVQAAnthropic · Feb 2026
91.3%
GPQA-AA EloArtificial Analysis · Feb 2026
1619%
Pricing
Token pricing for Claude Opus 4.6 API usage.
Input Tokens
$5.00/M
per million tokens
Output Tokens
$25.00/M
per million tokens
Pricing Calculator
Input cost$5.00
Output cost$12.50
Estimated monthly cost$17.50
Cache read: $0.5000/M tokens
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Anthropicai lab
Building reliable, interpretable, and steerable AI systems
10 Tools4 ModelsFounded 2021San Francisco, CA
View full profileTools by Anthropic
Other AI tools from the same organization.
AI Models by Anthropic
Large language models from the same organization.
| Model | Context Window | Price (In / Out per M) |
|---|---|---|
| Claude Opus 4.7Current | 1.0M | $5.00 / $25.00 |
| Claude Sonnet 4.6Current | 1.0M | $3.00 / $15.00 |
MCP Servers by Anthropic
Connect this tool to AI assistants via the Model Context Protocol.
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