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Claude Opus 4.6 vs GPT-5 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 GPT-5 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

GPT-5 Mini

GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....

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Technical Specifications

SpecificationClaude Opus 4.6GPT-5 Mini
ProviderAnthropicOpenAI
Context Window1,000,000 tokens400,000 tokens
Agent Suitability95/10085/100
Time to First Token (TTFT)500 ms180 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-02-042025-08-07

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.6

$5.00

GPT-5 Mini

$0.25

Output Price per Million Tokens

Claude Opus 4.6

$25.00

GPT-5 Mini

$2.00

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%vs8650.0%
Claude Opus 4.6
GPT-5 Mini
HumanEvalPython coding & logic synthesis
9450.0%vs8800.0%
Claude Opus 4.6
GPT-5 Mini
MATHComplex mathematical problem solving
8890.0%vs8250.0%
Claude Opus 4.6
GPT-5 Mini
GPQAGraduate-level expert reasoning
7980.0%vs6800.0%
Claude Opus 4.6
GPT-5 Mini
HellaSwagCommonsense reasoning and inference
9750.0%vs9550.0%
Claude Opus 4.6
GPT-5 Mini
MT-BenchMulti-turn conversation flow quality
965.0%vs900.0%
Claude Opus 4.6
GPT-5 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

GPT-5 Mini Quirks & Gotchas

  • Excellent for high-frequency classification and routing tasks
  • Tool calling reliability drops on complex multi-step chains — use GPT-5 for agentic workflows