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Claude Opus 4.7 vs GPT-4o-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 4.7 and GPT-4o-mini.

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

GPT-4o-mini

GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...

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Technical Specifications

SpecificationClaude Opus 4.7GPT-4o-mini
ProviderAnthropicOpenAI
Context Window1,000,000 tokens128,000 tokens
Agent Suitability96/10082/100
Time to First Token (TTFT)480 ms150 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-162024-07-18

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.7

$5.00

GPT-4o-mini

$0.15

Output Price per Million Tokens

Claude Opus 4.7

$25.00

GPT-4o-mini

$0.60

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%vs8200.0%
Claude Opus 4.7
GPT-4o-mini
HumanEvalPython coding & logic synthesis
9610.0%vs8400.0%
Claude Opus 4.7
GPT-4o-mini
MATHComplex mathematical problem solving
9150.0%vs7020.0%
Claude Opus 4.7
GPT-4o-mini
GPQAGraduate-level expert reasoning
8420.0%vs4500.0%
Claude Opus 4.7
GPT-4o-mini
HellaSwagCommonsense reasoning and inference
9880.0%vs8470.0%
Claude Opus 4.7
GPT-4o-mini
MT-BenchMulti-turn conversation flow quality
975.0%vs860.0%
Claude Opus 4.7
GPT-4o-mini

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

GPT-4o-mini Quirks & Gotchas

  • โ–ธUltra-low latency โ€” best TTFT in the OpenAI lineup
  • โ–ธTool calling limited to single-step โ€” not suitable for complex agentic pipelines