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Claude Opus 4.7 vs MiniMax M1

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 MiniMax M1.

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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MiniMax

MiniMax M1

MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...

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Technical Specifications

SpecificationClaude Opus 4.7MiniMax M1
ProviderAnthropicMiniMax
Context Window1,000,000 tokens1,000,000 tokens
Agent Suitability96/100N/A
Time to First Token (TTFT)480 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2026-04-162025-06-17

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.7

$5.00

MiniMax M1

$0.40

Output Price per Million Tokens

Claude Opus 4.7

$25.00

MiniMax M1

$2.20

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
MiniMax M1
HumanEvalPython coding & logic synthesis
9610.0%vsN/A
Claude Opus 4.7
MiniMax M1
MATHComplex mathematical problem solving
9150.0%vsN/A
Claude Opus 4.7
MiniMax M1
GPQAGraduate-level expert reasoning
8420.0%vsN/A
Claude Opus 4.7
MiniMax M1
HellaSwagCommonsense reasoning and inference
9880.0%vsN/A
Claude Opus 4.7
MiniMax M1
MT-BenchMulti-turn conversation flow quality
975.0%vsN/A
Claude Opus 4.7
MiniMax M1

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

MiniMax M1 Quirks & Gotchas

No developer gotchas reported.