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Claude Opus 4.7 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 4.7 and o4 Mini Deep Research.

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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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 4.7o4 Mini Deep Research
ProviderAnthropicOpenAI
Context Window1,000,000 tokens200,000 tokens
Agent Suitability96/100N/A
Time to First Token (TTFT)480 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-162025-10-10

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.7

$5.00

o4 Mini Deep Research

$2.00

Output Price per Million Tokens

Claude Opus 4.7

$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
9410.0%vsN/A
Claude Opus 4.7
o4 Mini Deep Research
HumanEvalPython coding & logic synthesis
9610.0%vsN/A
Claude Opus 4.7
o4 Mini Deep Research
MATHComplex mathematical problem solving
9150.0%vsN/A
Claude Opus 4.7
o4 Mini Deep Research
GPQAGraduate-level expert reasoning
8420.0%vsN/A
Claude Opus 4.7
o4 Mini Deep Research
HellaSwagCommonsense reasoning and inference
9880.0%vsN/A
Claude Opus 4.7
o4 Mini Deep Research
MT-BenchMulti-turn conversation flow quality
975.0%vsN/A
Claude Opus 4.7
o4 Mini Deep Research

Claude Opus 4.7 Quirks & Gotchas

  • Top-tier agentic coding model — excels at autonomous software engineering
  • Requires explicit tool_choice parameter for parallel function calling to work reliably

o4 Mini Deep Research Quirks & Gotchas

No developer gotchas reported.