# GPT-5.3 Codex vs MiniMax M2.7

> Side-by-side benchmark comparison for GPT-5.3 Codex and MiniMax M2.7 across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/gpt-5-3-codex-vs-minimax-m2-7
- Last updated: September 15, 2026

- Shared sourced benchmarks: 5
- HTML indexing: indexable
- Ranking lane: BenchAlign v5

## Quick Verdict

Pick GPT-5.3 Codex 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-5.3 Codex leads overall 64.19 to 55.14.
- The clearest category separation is in agentic, where the averages are 61.6 for GPT-5.3 Codex and 41.1 for MiniMax M2.7.
- The biggest single benchmark swing is Vibe Code Bench in Coding, with scores of 61.77% and 27.04%.
- MiniMax M2.7 is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.
- GPT-5.3 Codex also has the larger context window at 400K.

## Model Snapshot

| Property | GPT-5.3 Codex | MiniMax M2.7 |
|----------|----------|----------|
| Creator | OpenAI | MiniMax |
| Type | Proprietary | Open Weight |
| Reasoning | Reasoning | Non-Reasoning |
| Context | 400K | 200K |
| Overall Score | 64.19 | 55.14 |
| Benchmarks Covered | 8 | 23 |
| Pricing (input/output) | $1.75 / $14.00 | $0.30 / $1.20 |

## Category Breakdown

### Agentic

- Winner: Coming soon
- GPT-5.3 Codex public-lane score: 61.6 (Estimated · #15/153)
- MiniMax M2.7 public-lane score: 41.1 (Estimated · #110/153)

| Benchmark | GPT-5.3 Codex | MiniMax M2.7 | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.0 | 77.3% | 57% | GPT-5.3 Codex |
| OSWorld-Verified | 64.7% | Coming soon | Coming soon |
| Gert Labs | 57.47% | 40.40% | GPT-5.3 Codex |
| JobBench | 33.7% | Coming soon | 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 |
| Terminal-Bench 2.1 (Vals) | Coming soon | 48.7% | Coming soon |

### Coding

- Winner: Coming soon
- GPT-5.3 Codex public-lane score: 62 (Estimated · #17/152)
- MiniMax M2.7 public-lane score: 48.6 (Estimated · #68/152)

| Benchmark | GPT-5.3 Codex | MiniMax M2.7 | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Verified | 85% | Coming soon | Coming soon |
| SWE-bench Pro | 56.8% | 56.2% | GPT-5.3 Codex |
| SWE-Rebench | 58.2% | 51.9% | GPT-5.3 Codex |
| Vibe Code Bench | 61.77% | 27.04% | GPT-5.3 Codex |
| SWE-bench Verified* | Coming soon | 75.4% | 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 |
| LiveCodeBench (Vals) | Coming soon | 79.9% | Coming soon |
| SWE-bench (Vals) | Coming soon | 73.8% | Coming soon |

### Multimodal & Grounded

- Winner: Coming soon
- GPT-5.3 Codex public-lane score: 75.6 (Unranked · 1 rankable row)
- MiniMax M2.7 public-lane score: Coming soon

### Reasoning

- Winner: Coming soon
- GPT-5.3 Codex public-lane score: 78.3 (Unranked · 2 rankable rows)
- MiniMax M2.7 public-lane score: 74.8 (Unranked · 2 rankable rows)

### Knowledge

- Winner: Coming soon
- GPT-5.3 Codex public-lane score: 65.6 (Estimated · #23/183)
- MiniMax M2.7 public-lane score: 48.7 (Supported · #90/183)

| Benchmark | GPT-5.3 Codex | MiniMax M2.7 | Winner |
|-----------|-----------|-----------|--------|
| GPQA-D | Coming soon | 87.0% | Coming soon |
| MMLU-Pro (Arcee) | Coming soon | 80.8% | Coming soon |
| GPQA Diamond (Vals) | Coming soon | 86.6% | Coming soon |
| MMLU-Pro (Vals) | Coming soon | 80.4% | Coming soon |

### Instruction Following

- Winner: Coming soon
- GPT-5.3 Codex public-lane score: 92.6 (#15/123)
- MiniMax M2.7 public-lane score: 93 (#10/123)

### Mathematics

- Winner: Coming soon
- GPT-5.3 Codex public-lane score: Coming soon
- MiniMax M2.7 public-lane score: Coming soon

| Benchmark | GPT-5.3 Codex | MiniMax M2.7 | Winner |
|-----------|-----------|-----------|--------|
| AIME25 (Arcee) | Coming soon | 80.0% | Coming soon |

## FAQ

### Which is better overall, GPT-5.3 Codex or MiniMax M2.7?

GPT-5.3 Codex is ahead overall on BenchLM right now.

### Where is the biggest gap between GPT-5.3 Codex and MiniMax M2.7?

The widest category gap is in agentic, where the averages are 61.6 for GPT-5.3 Codex and 41.1 for MiniMax M2.7.

### How many benchmarks does GPT-5.3 Codex cover on BenchLM?

GPT-5.3 Codex currently has 8 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-5.3 Codex vs GPT-5.3-Codex-Spark](/compare/gpt-5-3-codex-vs-gpt-5-3-codex-spark)
- [MiniMax M2.7 vs GPT-5.3-Codex-Spark](/compare/gpt-5-3-codex-spark-vs-minimax-m2-7)
- [GPT-5.3 Codex vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-gpt-5-3-codex)
- [MiniMax M2.7 vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-minimax-m2-7)

## Explore More

- [GPT-5.3 Codex profile](/models/gpt-5-3-codex)
- [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)