# GPT-5.4 nano vs MiniMax M2.7

> Side-by-side benchmark comparison for GPT-5.4 nano and MiniMax M2.7 across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/gpt-5-4-nano-vs-minimax-m2-7
- Last updated: September 15, 2026

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

## Quick Verdict

Pick GPT-5.4 nano if you want the stronger benchmark profile. MiniMax M2.7 only makes more sense when its price, context window, or workload-specific category wins matter more than the overall score.

## Summary

- GPT-5.4 nano leads overall 59.52 to 55.14.
- The clearest category separation is in coding, where the averages are 37.2 for GPT-5.4 nano and 48.6 for MiniMax M2.7.
- The biggest single benchmark swing is Toolathlon in Agentic, with scores of 35.5% and 46.3%.
- MiniMax M2.7 is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.
- GPT-5.4 nano also has the larger context window at 400K.

## Model Snapshot

| Property | GPT-5.4 nano | MiniMax M2.7 |
|----------|----------|----------|
| Creator | OpenAI | MiniMax |
| Type | Proprietary | Open Weight |
| Reasoning | Reasoning | Non-Reasoning |
| Context | 400K | 200K |
| Overall Score | 59.52 | 55.14 |
| Benchmarks Covered | 18 | 23 |
| Pricing (input/output) | $0.20 / $1.25 | $0.30 / $1.20 |

## Category Breakdown

### Agentic

- Winner: Coming soon
- GPT-5.4 nano public-lane score: 34.7 (Supported · #134/153)
- MiniMax M2.7 public-lane score: 41.1 (Estimated · #110/153)

| Benchmark | GPT-5.4 nano | MiniMax M2.7 | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.0 | 46.3% | 57% | MiniMax M2.7 |
| OSWorld-Verified | 39% | Coming soon | Coming soon |
| MCP Atlas | 56.1% | Coming soon | Coming soon |
| Toolathlon | 35.5% | 46.3% | MiniMax M2.7 |
| τ²-bench results | 92.5% | Coming soon | Coming soon |
| Terminal-Bench 2.1 (Vals) | 41.6% | 48.7% | MiniMax M2.7 |
| 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 |
| Gert Labs | Coming soon | 40.40% | Coming soon |

### Coding

- Winner: Coming soon
- GPT-5.4 nano public-lane score: 37.2 (Supported · #127/152)
- MiniMax M2.7 public-lane score: 48.6 (Estimated · #68/152)

| Benchmark | GPT-5.4 nano | MiniMax M2.7 | Winner |
|-----------|-----------|-----------|--------|
| Vibe Code Bench | 26.10% | 27.04% | MiniMax M2.7 |
| LiveCodeBench (Vals) | 84.0% | 79.9% | GPT-5.4 nano |
| SWE-bench (Vals) | 69.8% | 73.8% | MiniMax M2.7 |
| 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 |
| React Native Evals | Coming soon | 71.4% | Coming soon |

### Multimodal & Grounded

- Winner: Coming soon
- GPT-5.4 nano public-lane score: 23.8 (#45/48)
- MiniMax M2.7 public-lane score: Coming soon

| Benchmark | GPT-5.4 nano | MiniMax M2.7 | Winner |
|-----------|-----------|-----------|--------|
| MMMU-Pro | 66.1% | Coming soon | Coming soon |
| MMMU-Pro w/ Python | 69.5% | Coming soon | Coming soon |

### Reasoning

- Winner: Coming soon
- GPT-5.4 nano public-lane score: 73.7 (Unranked · 2 rankable rows)
- MiniMax M2.7 public-lane score: 74.8 (Unranked · 2 rankable rows)

### Knowledge

- Winner: MiniMax M2.7
- GPT-5.4 nano public-lane score: 47.4 (Supported · #96/183)
- MiniMax M2.7 public-lane score: 48.7 (Supported · #90/183)

| Benchmark | GPT-5.4 nano | MiniMax M2.7 | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 82.8% | Coming soon | Coming soon |
| HLE | 37.7% | Coming soon | Coming soon |
| HLE w/o tools | 24.3% | Coming soon | Coming soon |
| GPQA Diamond (Vals) | 77.5% | 86.6% | MiniMax M2.7 |
| MMLU-Pro (Vals) | 77.2% | 80.4% | MiniMax M2.7 |
| GPQA-D | Coming soon | 87.0% | Coming soon |
| MMLU-Pro (Arcee) | Coming soon | 80.8% | Coming soon |

### Instruction Following

- Winner: Coming soon
- GPT-5.4 nano public-lane score: 93.2 (#9/123)
- MiniMax M2.7 public-lane score: 93 (#10/123)

### Mathematics

- Winner: Coming soon
- GPT-5.4 nano public-lane score: 43.9 (Unranked · 2 rankable rows)
- MiniMax M2.7 public-lane score: Coming soon

| Benchmark | GPT-5.4 nano | MiniMax M2.7 | Winner |
|-----------|-----------|-----------|--------|
| FrontierMath v2 (Tiers 1-3) | 25.860% | Coming soon | Coming soon |
| FrontierMath v2 (Tier 4) | 6.250% | Coming soon | Coming soon |
| AIME25 (Arcee) | Coming soon | 80.0% | Coming soon |

## FAQ

### Which is better overall, GPT-5.4 nano or MiniMax M2.7?

GPT-5.4 nano is ahead overall on BenchLM right now.

### Where is the biggest gap between GPT-5.4 nano and MiniMax M2.7?

The widest category gap is in coding, where the averages are 37.2 for GPT-5.4 nano and 48.6 for MiniMax M2.7.

### How many benchmarks does GPT-5.4 nano cover on BenchLM?

GPT-5.4 nano currently has 18 sourced benchmark scores on BenchLM.

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

MiniMax M2.7 currently has 23 sourced benchmark scores on BenchLM.

## Related Comparisons

- [GPT-5.4 nano vs GPT-5.4](/compare/gpt-5-4-vs-gpt-5-4-nano)
- [MiniMax M2.7 vs GPT-5.4](/compare/gpt-5-4-vs-minimax-m2-7)
- [GPT-5.4 nano vs GPT-5.4 mini](/compare/gpt-5-4-mini-vs-gpt-5-4-nano)
- [MiniMax M2.7 vs GPT-5.4 mini](/compare/gpt-5-4-mini-vs-minimax-m2-7)

## Explore More

- [GPT-5.4 nano profile](/models/gpt-5-4-nano)
- [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)