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Claude Opus 4.8 vs MiniMax M2.7

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 4.8 and MiniMax M2.7.

Anthropic

Claude Opus 4.8

Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token...

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MiniMax

MiniMax M2.7

MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...

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Technical Specifications

SpecificationClaude Opus 4.8MiniMax M2.7
ProviderAnthropicMiniMax
Context Window1,000,000 tokens204,800 tokens
Agent Suitability97/100N/A
Time to First Token (TTFT)520 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitybetastable
API AvailableYesYes
Released Date2026-05-272026-03-18

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.8

$5.00

MiniMax M2.7

$0.18

Output Price per Million Tokens

Claude Opus 4.8

$25.00

MiniMax M2.7

$0.72

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
9540.0%vs8250.0%
Claude Opus 4.8
MiniMax M2.7
HumanEvalPython coding & logic synthesis
9720.0%vs8000.0%
Claude Opus 4.8
MiniMax M2.7
MATHComplex mathematical problem solving
9410.0%vs5400.0%
Claude Opus 4.8
MiniMax M2.7
GPQAGraduate-level expert reasoning
8650.0%vs3900.0%
Claude Opus 4.8
MiniMax M2.7
HellaSwagCommonsense reasoning and inference
9920.0%vs8400.0%
Claude Opus 4.8
MiniMax M2.7
MT-BenchMulti-turn conversation flow quality
980.0%vs870.0%
Claude Opus 4.8
MiniMax M2.7

Claude Opus 4.8 Quirks & Gotchas

  • โ–ธBest-in-class for autonomous code repair and multi-agent orchestration
  • โ–ธPreview model โ€” API may introduce breaking changes without notice

MiniMax M2.7 Quirks & Gotchas

No developer gotchas reported.