Model Comparison
Claude Opus 4.8 vs MiniMax M2.7Which is better in 2026?
Claude Opus 4.8 significantly outperforms across most benchmarks. MiniMax M2.7 is 19.0x cheaper per token.
Verdict: Claude Opus 4.8 vs MiniMax M2.7 — which is better?
Claude Opus 4.8 (by Anthropic) and MiniMax M2.7 (by MiniMax) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Claude Opus 4.8 outperforms in 6 benchmarks (Finance Agent v2, GDPval-AA, SWE-bench Multilingual, SWE-Bench Pro, Terminal-Bench 2.0, Toolathlon), while MiniMax M2.7 is better at 0 benchmarks. Claude Opus 4.8 significantly outperforms across most benchmarks.
On price, MiniMax M2.7 is roughly 19.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude Opus 4.8 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Claude Opus 4.8 if…
- you want the strongest raw capability — it leads on 6 of 6 shared benchmarks
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped May 2026
Choose MiniMax M2.7 if…
- cost matters — it's about 19.0x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Claude Opus 4.8 outperforms in 6 benchmarks (Finance Agent v2, GDPval-AA, SWE-bench Multilingual, SWE-Bench Pro, Terminal-Bench 2.0, Toolathlon), while MiniMax M2.7 is better at 0 benchmarks.
Claude Opus 4.8 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Opus 4.8 ($5.00/1M tokens) is 16.7x more expensive than MiniMax M2.7 ($0.30/1M tokens).
For output processing, Claude Opus 4.8 ($25.00/1M tokens) is 20.8x more expensive than MiniMax M2.7 ($1.20/1M tokens).
In conclusion, Claude Opus 4.8 is more expensive than MiniMax M2.7.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude Opus 4.8 accepts 1,000,000 input tokens compared to MiniMax M2.7's 196,608 tokens. MiniMax M2.7 can generate longer responses up to 196,608 tokens, while Claude Opus 4.8 is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Claude Opus 4.8 supports multimodal inputs, whereas MiniMax M2.7 does not.
Claude Opus 4.8 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Opus 4.8
MiniMax M2.7
License
Usage and distribution terms
Claude Opus 4.8 is licensed under a proprietary license, while MiniMax M2.7 uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Claude Opus 4.8 was released on 2026-05-28, while MiniMax M2.7 was released on 2026-03-18.
Claude Opus 4.8 is 2 months newer than MiniMax M2.7.
May 28, 2026
1 months ago
2mo newerMar 18, 2026
4 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Claude Opus 4.8 is available from Anthropic, Vertex AI. MiniMax M2.7 is available from Fireworks, MiniMax, Novita.
Claude Opus 4.8
MiniMax M2.7
Outputs Comparison
Key Takeaways
Claude Opus 4.8
View detailsAnthropic
MiniMax M2.7
View detailsMiniMax
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Claude Opus 4.8 and MiniMax M2.7 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Claude Opus 4.8 vs MiniMax M2.7.