# Claude Opus 4.7 vs MiniMax M2.7

> Side-by-side benchmark comparison for Claude Opus 4.7 and MiniMax M2.7 across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/claude-opus-4-7-vs-minimax-m2-7
- Last updated: October 14, 2026

- Shared sourced benchmarks: 8
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.8

## Quick Verdict

Claude Opus 4.7 leads by point estimate. Conditional score ranges do not establish rank confidence. Choose using the category evidence and your own workload tests.

## Summary

- Claude Opus 4.7 has the higher overall point estimate 65.18 to 47.91. Conditional score ranges do not establish rank confidence.
- The clearest category separation is in agentic, where the averages are 54 for Claude Opus 4.7 and 31.4 for MiniMax M2.7.
- The biggest single benchmark swing is Vibe Code Bench in Coding, with scores of 71.00% and 27.04%.
- MiniMax M2.7 is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.
- Claude Opus 4.7 also has the larger context window at 1M.

## Model Snapshot

| Property | Claude Opus 4.7 | MiniMax M2.7 |
|----------|----------|----------|
| Creator | Anthropic | MiniMax |
| Type | Proprietary | Open Weight |
| Reasoning | Non-Reasoning | Non-Reasoning |
| Context | 1M | 200K |
| Overall Score | 65.18 | 47.91 |
| Benchmarks Covered | 15 | 29 |
| Pricing (input/output) | $5.00 / $25.00 | $0.30 / $1.20 |

## Category Breakdown

### Agentic

- Winner: Claude Opus 4.7
- Claude Opus 4.7 public-lane score: 54 (Supported · #40/124)
- MiniMax M2.7 public-lane score: 31.4 (Supported · #86/124)

| Benchmark | Claude Opus 4.7 | MiniMax M2.7 | Winner |
|-----------|-----------|-----------|--------|
| Gert Labs | 65.59% | 40.40% | Claude Opus 4.7 |
| ResearchClawBench | 20.7% | Coming soon | Coming soon |
| OSWorld 2.0 | 13.9% | Coming soon | Coming soon |
| Terminal-Bench 2.1 (Vals) | 68.5% | 48.7% | Claude Opus 4.7 |
| ApprenticeBench | 7% | Coming soon | Coming soon |
| Terminal-Bench 2.0 | Coming soon | 57% | Coming soon |
| τ³-bench results | Coming soon | 67.6% | Coming soon |
| Toolathlon | Coming soon | 46.3% | Coming soon |
| MLE-Bench Lite | Coming soon | 66.6% | Coming soon |
| MM-ClawBench | Coming soon | 62.7% | Coming soon |
| Claw-Eval | Coming soon | 48.7% | Coming soon |

### Coding

- Winner: Claude Opus 4.7
- Claude Opus 4.7 public-lane score: 55.6 (Supported · #30/149)
- MiniMax M2.7 public-lane score: 34.8 (Supported · #78/149)

| Benchmark | Claude Opus 4.7 | MiniMax M2.7 | Winner |
|-----------|-----------|-----------|--------|
| Vibe Code Bench | 71.00% | 27.04% | Claude Opus 4.7 |
| React Native Evals | 82.8% | 71.4% | Claude Opus 4.7 |
| FrontierCode 1.1 Main | 38.5% | Coming soon | Coming soon |
| LiveCodeBench (Vals) | 85.1% | 79.9% | Claude Opus 4.7 |
| SWE-bench (Vals) | 82.0% | 73.8% | Claude Opus 4.7 |
| PostTrainBench v1.1 | 28.6% | Coming soon | Coming soon |
| SWE-bench Verified* | Coming soon | 75.4% | Coming soon |
| SWE-bench Pro | Coming soon | 56.2% | Coming soon |
| SWE-Rebench | Coming soon | 51.9% | Coming soon |
| SWE Multilingual | Coming soon | 76.5% | Coming soon |
| Multi-SWE Bench | Coming soon | 52.7% | Coming soon |
| VIBE-Pro | Coming soon | 55.6% | Coming soon |
| NL2Repo | Coming soon | 39.8% | Coming soon |
| Terminal-Bench 2.0 | Coming soon | 57.0% | Coming soon |

### Reasoning

- Winner: Not comparable
- Claude Opus 4.7 public-lane score: Coming soon
- MiniMax M2.7 public-lane score: 79.6 (Unranked · 2 rankable rows)

### Knowledge

- Winner: Directional only
- Claude Opus 4.7 public-lane score: 65.3 (Estimated · #30/181)
- MiniMax M2.7 public-lane score: 46 (Supported · #92/181)

| Benchmark | Claude Opus 4.7 | MiniMax M2.7 | Winner |
|-----------|-----------|-----------|--------|
| GPQA Diamond (Vals) | 90.2% | 86.6% | Claude Opus 4.7 |
| MMLU-Pro (Vals) | 89.9% | 80.4% | Claude Opus 4.7 |
| HLE | Coming soon | 28% | Coming soon |
| GPQA-D | Coming soon | 87.0% | Coming soon |
| MMLU-Pro (Arcee) | Coming soon | 80.8% | Coming soon |

### Instruction Following

- Winner: Not comparable
- Claude Opus 4.7 public-lane score: Coming soon
- MiniMax M2.7 public-lane score: 93 (#13/128)

### Mathematics

- Winner: Not comparable
- Claude Opus 4.7 public-lane score: 72.9 (Unranked · 2 rankable rows)
- MiniMax M2.7 public-lane score: 70.5 (Unranked · 4 rankable rows)

| Benchmark | Claude Opus 4.7 | MiniMax M2.7 | Winner |
|-----------|-----------|-----------|--------|
| FrontierMath v2 (Tiers 1-3) | 70.175% | Coming soon | Coming soon |
| FrontierMath v2 (Tier 4) | 31.707% | Coming soon | Coming soon |
| AIME25 (Arcee) | Coming soon | 80.0% | Coming soon |
| AIME26 | Coming soon | 89.8% | Coming soon |
| HMMT Nov 2025 | Coming soon | 81.0% | Coming soon |
| HMMT Feb 2026 | Coming soon | 72.7% | Coming soon |

## FAQ

### Which is better overall, Claude Opus 4.7 or MiniMax M2.7?

Claude Opus 4.7 has the higher overall point estimate. Conditional score ranges do not establish rank confidence.

### Where is the biggest gap between Claude Opus 4.7 and MiniMax M2.7?

The widest category gap is in agentic, where the averages are 54 for Claude Opus 4.7 and 31.4 for MiniMax M2.7.

### How many benchmarks does Claude Opus 4.7 cover on BenchLM?

Claude Opus 4.7 currently has 15 sourced benchmark scores on BenchLM.

### How many benchmarks does MiniMax M2.7 cover on BenchLM?

MiniMax M2.7 currently has 29 sourced benchmark scores on BenchLM.

## Related Comparisons

- [Claude Opus 4.7 vs Claude Opus 4.7 (Adaptive)](/compare/claude-opus-4-7-vs-claude-opus-4-7-adaptive)
- [MiniMax M2.7 vs Claude Opus 4.7 (Adaptive)](/compare/claude-opus-4-7-adaptive-vs-minimax-m2-7)
- [Claude Opus 4.7 vs Claude Opus 5.5](/compare/claude-opus-4-7-vs-claude-opus-5-5)
- [MiniMax M2.7 vs Claude Opus 5.5](/compare/claude-opus-5-5-vs-minimax-m2-7)

## Explore More

- [Claude Opus 4.7 profile](/models/claude-opus-4-7)
- [MiniMax M2.7 profile](/models/minimax-m2-7)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)