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Claude Opus 4.6 vs o4 Mini Deep Research

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 o4 Mini Deep Research.

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

o4 Mini Deep Research

o4-mini-deep-research is OpenAI's faster, more affordable deep research model—ideal for tackling complex, multi-step research tasks. Note: This model always uses the 'web_search' tool which adds additional cost.

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Technical Specifications

SpecificationClaude Opus 4.6o4 Mini Deep Research
ProviderAnthropicOpenAI
Context Window1,000,000 tokens200,000 tokens
Agent Suitability95/100N/A
Time to First Token (TTFT)500 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-02-042025-10-10

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.6

$5.00

o4 Mini Deep Research

$2.00

Output Price per Million Tokens

Claude Opus 4.6

$25.00

o4 Mini Deep Research

$8.00

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
9250.0%vsN/A
Claude Opus 4.6
o4 Mini Deep Research
HumanEvalPython coding & logic synthesis
9450.0%vsN/A
Claude Opus 4.6
o4 Mini Deep Research
MATHComplex mathematical problem solving
8890.0%vsN/A
Claude Opus 4.6
o4 Mini Deep Research
GPQAGraduate-level expert reasoning
7980.0%vsN/A
Claude Opus 4.6
o4 Mini Deep Research
HellaSwagCommonsense reasoning and inference
9750.0%vsN/A
Claude Opus 4.6
o4 Mini Deep Research
MT-BenchMulti-turn conversation flow quality
965.0%vsN/A
Claude Opus 4.6
o4 Mini Deep Research

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

o4 Mini Deep Research Quirks & Gotchas

No developer gotchas reported.