# Amazon Nova Pro vs MiniMax-M2.7

> MiniMax-M2.7 is the stronger model overall, scoring 37.7 to 31.0 on the Noometry Index.

- Canonical page: https://noometry.com/compare/amazon-nova-pro-vs-minimax-m2-7
- Last updated: 2026-10-12
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. Amazon Nova Pro scores higher in 2 categories and MiniMax-M2.7 in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiniMax-M2.7 leads 58.9 to 43.9.
- The biggest single-benchmark swing is Vectara Hallucination Rate: 5.1% for Amazon Nova Pro and 12.9% for MiniMax-M2.7.
- MiniMax-M2.7 is cheaper at $0.30 / $1.20 per million input/output tokens, against $0.80 / $3.20 for Amazon Nova Pro.
- Amazon Nova Pro accepts more context: 300K tokens versus 205K.
- MiniMax-M2.7 has downloadable open weights; the other is API-only.

## Snapshot

| | Amazon Nova Pro | MiniMax-M2.7 |
|---|---|---|
| Provider | Amazon | MiniMax |
| Noometry Index | 31.0 | 37.7 |
| Rank | 281 | 196 |
| Context | 300K | 205K |
| Input $/M | $0.80 | $0.30 |
| Output $/M | $3.20 | $1.20 |
| Weights | Proprietary | Open |

## Coding

- Amazon Nova Pro: 35.1 (#229)
- MiniMax-M2.7: 41.8 (#120)

| Benchmark | Amazon Nova Pro | MiniMax-M2.7 |
|---|---|---|
| LMArena Coding | 1270 | 1454 |
| LMArena WebDev | — | 1398 |
| SciCode | — | 47% |
| WeirdML | — | 37% |
| LiveBench Coding | 38.1% | — |
| ALE-Bench | — | 599.25 |

## Agentic & Tool Use

- Amazon Nova Pro: 16.7 (#147)
- MiniMax-M2.7: 25.1 (#111)

| Benchmark | Amazon Nova Pro | MiniMax-M2.7 |
|---|---|---|
| Terminal-Bench | — | 45.1% |
| Berkeley Function Calling Leaderboard | 25% | — |
| TheAgentCompany | 1.7% | — |
| ExploitBench | — | 13.3% |
| GBAEval | — | 0% |

## Reasoning

- Amazon Nova Pro: 20.0 (#243)
- MiniMax-M2.7: 19.7 (#253)

| Benchmark | Amazon Nova Pro | MiniMax-M2.7 |
|---|---|---|
| LMArena Hard Prompts | 1246 | 1422 |
| Epoch Capabilities Index | 123.8 | 145.85 |
| NYT Connections (extended) | — | 24.7% |
| CritPt | — | 0.6% |
| Thematic Generalization | — | 39.3% |
| LiveBench Reasoning | 32.6% | — |
| LiveBench Data Analysis | 48.3% | — |
| LiveBench | 43.5% | — |

## Math

- Amazon Nova Pro: 28.5 (#243)
- MiniMax-M2.7: 25.9 (#263)

| Benchmark | Amazon Nova Pro | MiniMax-M2.7 |
|---|---|---|
| LMArena Math | 1252 | 1420 |
| ProofBench | — | 3% |
| Omni-MATH | 24.2% | — |
| LiveBench Math | 38% | — |

## Knowledge

- Amazon Nova Pro: 27.4 (#250)
- MiniMax-M2.7: 37.7 (#152)

| Benchmark | Amazon Nova Pro | MiniMax-M2.7 |
|---|---|---|
| Vectara Hallucination Rate | 5.1% | 12.9% |
| LMArena Expert | 1211 | 1444 |
| Humanity's Last Exam | 4.4% | — |
| MMLU-Pro | 67.3% | — |
| Confabulations | 30.1% | — |
| GPQA (HELM) | 44.6% | — |
| MMLU | 82% | — |

## Multimodal

- Amazon Nova Pro: 25.0 (#126)
- MiniMax-M2.7: —

| Benchmark | Amazon Nova Pro | MiniMax-M2.7 |
|---|---|---|
| LMArena Vision | 980 | — |

## Multilingual

- Amazon Nova Pro: 39.7 (#223)
- MiniMax-M2.7: 50.3 (#123)

| Benchmark | Amazon Nova Pro | MiniMax-M2.7 |
|---|---|---|
| LMArena Non-English | 1234 | 1382 |
| LMArena Chinese | 1244 | 1441 |
| LMArena French | 1271 | 1421 |
| LMArena German | 1243 | 1398 |
| LMArena Japanese | 1200 | 1262 |
| LMArena Korean | 1203 | 1313 |
| LMArena Russian | 1240 | 1383 |
| LMArena Spanish | 1182 | 1403 |

## Instruction Following

- Amazon Nova Pro: 64.9 (#226)
- MiniMax-M2.7: 74.1 (#103)

| Benchmark | Amazon Nova Pro | MiniMax-M2.7 |
|---|---|---|
| LMArena Instruction Following | 1235 | 1405 |
| LiveBench Instruction Following | 67.1% | — |
| IFEval | 81.5% | — |

## Long Context

- Amazon Nova Pro: 38.1 (#205)
- MiniMax-M2.7: 43.3 (#99)

| Benchmark | Amazon Nova Pro | MiniMax-M2.7 |
|---|---|---|
| LMArena Longer Query | 1255 | 1419 |

## Writing & Preference

- Amazon Nova Pro: 43.9 (#226)
- MiniMax-M2.7: 58.9 (#112)

| Benchmark | Amazon Nova Pro | MiniMax-M2.7 |
|---|---|---|
| LMArena Text | 1259 | 1405 |
| LMArena Creative Writing | 1212 | 1354 |
| LMArena Multi-Turn | 1246 | 1412 |
| Short-Story Creative Writing | 60.5% | — |
| WildBench | 77.7% | — |
| LiveBench Language | 37% | — |

## FAQ

### Is Amazon Nova Pro better than MiniMax-M2.7?

MiniMax-M2.7 is the stronger model overall, scoring 37.7 to 31.0 on the Noometry Index.

### Which is cheaper, Amazon Nova Pro or MiniMax-M2.7?

MiniMax-M2.7 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Amazon Nova Pro lists at $0.80 and $3.20.

### Is Amazon Nova Pro or MiniMax-M2.7 better for coding?

MiniMax-M2.7 scores higher on coding benchmarks: 41.8 versus 35.1 in the Noometry coding category.

### Which has the bigger context window?

Amazon Nova Pro does, with 300K tokens against 205K.

### How many benchmarks do Amazon Nova Pro and MiniMax-M2.7 share?

19 benchmarks have published results for both models. Amazon Nova Pro has 38 scored results on Noometry and MiniMax-M2.7 has 30.