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Claude Opus 4.6 vs o3 Mini

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 4.6 and o3 Mini.

Anthropic

Claude Opus 4.6

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...

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OpenAI

o3 Mini

OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `reasoning_effort` parameter, which can be set to...

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Technical Specifications

SpecificationClaude Opus 4.6o3 Mini
ProviderAnthropicOpenAI
Context Window1,000,000 tokens200,000 tokens
Agent Suitability95/10091/100
Time to First Token (TTFT)500 ms800 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-02-042025-01-31

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.6

$5.00

o3 Mini

$1.10

Output Price per Million Tokens

Claude Opus 4.6

$25.00

o3 Mini

$4.40

Want to test both models live?

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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
9250.0%vs8790.0%
Claude Opus 4.6
o3 Mini
HumanEvalPython coding & logic synthesis
9450.0%vs9020.0%
Claude Opus 4.6
o3 Mini
MATHComplex mathematical problem solving
8890.0%vs9020.0%
Claude Opus 4.6
o3 Mini
GPQAGraduate-level expert reasoning
7980.0%vs6850.0%
Claude Opus 4.6
o3 Mini
HellaSwagCommonsense reasoning and inference
9750.0%vs8900.0%
Claude Opus 4.6
o3 Mini
MT-BenchMulti-turn conversation flow quality
965.0%vs910.0%
Claude Opus 4.6
o3 Mini

Claude Opus 4.6 Quirks & Gotchas

  • Best for long-context document analysis and legal review
  • Tool calling requires structured prompt — prone to verbose refusal without explicit output schema

o3 Mini Quirks & Gotchas

  • Best cost/performance ratio for reasoning tasks in the OpenAI lineup
  • Still slower than GPT-5 for simple tool calls — route accordingly