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Claude Opus 4.7 vs Claude Sonnet 4.6

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Claude Opus 4.7 and Claude Sonnet 4.6.

Anthropic

Claude Opus 4.7

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...

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Anthropic

Claude Sonnet 4.6

Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with...

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Technical Specifications

SpecificationClaude Opus 4.7Claude Sonnet 4.6
ProviderAnthropicAnthropic
Context Window1,000,000 tokens1,000,000 tokens
Agent Suitability96/10094/100
Time to First Token (TTFT)480 ms350 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-162026-02-17

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.7

$5.00

Claude Sonnet 4.6

$3.00

Output Price per Million Tokens

Claude Opus 4.7

$25.00

Claude Sonnet 4.6

$15.00

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
9410.0%vs9040.0%
Claude Opus 4.7
Claude Sonnet 4.6
HumanEvalPython coding & logic synthesis
9610.0%vs9370.0%
Claude Opus 4.7
Claude Sonnet 4.6
MATHComplex mathematical problem solving
9150.0%vs8230.0%
Claude Opus 4.7
Claude Sonnet 4.6
GPQAGraduate-level expert reasoning
8420.0%vs6500.0%
Claude Opus 4.7
Claude Sonnet 4.6
HellaSwagCommonsense reasoning and inference
9880.0%vs9600.0%
Claude Opus 4.7
Claude Sonnet 4.6
MT-BenchMulti-turn conversation flow quality
975.0%vs940.0%
Claude Opus 4.7
Claude Sonnet 4.6

Claude Opus 4.7 Quirks & Gotchas

  • โ–ธTop-tier agentic coding model โ€” excels at autonomous software engineering
  • โ–ธRequires explicit tool_choice parameter for parallel function calling to work reliably

Claude Sonnet 4.6 Quirks & Gotchas

  • โ–ธBest balance of speed and capability โ€” default for most Claude integrations
  • โ–ธComputer-use (beta) feature enables autonomous UI interaction