# Llama 3.2 90B vs MiniMax-M2.5

> MiniMax-M2.5 is the stronger model overall, scoring 38.3 to 27.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-3-2-90b-vs-minimax-m2-5
- Last updated: 2026-10-12
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. Llama 3.2 90B scores higher in 1 category and MiniMax-M2.5 in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where MiniMax-M2.5 leads 39.2 to 21.7.

## Snapshot

| | Llama 3.2 90B | MiniMax-M2.5 |
|---|---|---|
| Provider | Meta | MiniMax |
| Noometry Index | 27.5 | 38.3 |
| Rank | 331 | 188 |
| Context | — | 205K |
| Input $/M | — | $0.30 |
| Output $/M | — | $1.20 |
| Weights | Open | Open |

## Coding

- Llama 3.2 90B: —
- MiniMax-M2.5: 48.1 (#58)

| Benchmark | Llama 3.2 90B | MiniMax-M2.5 |
|---|---|---|
| SWE-bench Verified (bash only) | — | 75.8% |
| LMArena WebDev | — | 1387 |
| SWE-bench Multilingual | — | 68.3% |
| LMArena Coding | — | 1381 |
| ALE-Bench | — | 618.17 |

## Agentic & Tool Use

- Llama 3.2 90B: 30.0 (#80)
- MiniMax-M2.5: 30.4 (#77)

| Benchmark | Llama 3.2 90B | MiniMax-M2.5 |
|---|---|---|
| Terminal-Bench | — | 42.7% |
| BALROG | 27.3% | — |
| Vending-Bench 2 | — | -23.16 |

## Reasoning

- Llama 3.2 90B: 21.7 (#217)
- MiniMax-M2.5: 17.5 (#292)

| Benchmark | Llama 3.2 90B | MiniMax-M2.5 |
|---|---|---|
| Epoch Capabilities Index | 125.5 | 146.68 |
| ARC-AGI-2 | — | 4.9% |
| Kagi LLM Benchmark | — | 55.2% |
| NYT Connections (extended) | — | 16.8% |
| ARC-AGI-1 | — | 63.7% |
| EnigmaEval | 0.4% | — |
| LMArena Hard Prompts | — | 1372 |

## Math

- Llama 3.2 90B: 11.1 (#308)
- MiniMax-M2.5: 26.9 (#253)

| Benchmark | Llama 3.2 90B | MiniMax-M2.5 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 2.6% | — |
| ProofBench | — | 4% |
| LMArena Math | — | 1378 |
| MATH Level 5 | 39.4% | — |

## Knowledge

- Llama 3.2 90B: 21.7 (#274)
- MiniMax-M2.5: 39.2 (#135)

| Benchmark | Llama 3.2 90B | MiniMax-M2.5 |
|---|---|---|
| GPQA Diamond | 41% | — |
| Vectara Hallucination Rate | — | 9.1% |
| LMArena Expert | — | 1379 |
| MMLU | 80.3% | — |

## Multimodal

- Llama 3.2 90B: 25.4 (#124)
- MiniMax-M2.5: —

| Benchmark | Llama 3.2 90B | MiniMax-M2.5 |
|---|---|---|
| LMArena Vision | 1000 | — |
| GeoBench | 52% | — |

## Multilingual

- Llama 3.2 90B: —
- MiniMax-M2.5: 47.1 (#152)

| Benchmark | Llama 3.2 90B | MiniMax-M2.5 |
|---|---|---|
| LMArena Non-English | — | 1338 |
| LMArena Chinese | — | 1393 |
| LMArena French | — | 1362 |
| LMArena German | — | 1362 |
| LMArena Japanese | — | 1171 |
| LMArena Korean | — | 1232 |
| LMArena Russian | — | 1358 |
| LMArena Spanish | — | 1354 |

## Instruction Following

- Llama 3.2 90B: —
- MiniMax-M2.5: 71.5 (#148)

| Benchmark | Llama 3.2 90B | MiniMax-M2.5 |
|---|---|---|
| LMArena Instruction Following | — | 1353 |

## Long Context

- Llama 3.2 90B: —
- MiniMax-M2.5: 37.5 (#216)

| Benchmark | Llama 3.2 90B | MiniMax-M2.5 |
|---|---|---|
| CL-bench | — | 11.4% |
| CL-bench Life | — | 6.3% |
| LMArena Longer Query | — | 1366 |

## Writing & Preference

- Llama 3.2 90B: —
- MiniMax-M2.5: 53.9 (#153)

| Benchmark | Llama 3.2 90B | MiniMax-M2.5 |
|---|---|---|
| LMArena Text | — | 1359 |
| LMArena Creative Writing | — | 1331 |
| EQ-Bench Creative Writing | — | 1361 |
| LMArena Multi-Turn | — | 1364 |

## FAQ

### Is Llama 3.2 90B better than MiniMax-M2.5?

MiniMax-M2.5 is the stronger model overall, scoring 38.3 to 27.5 on the Noometry Index.

### How many benchmarks do Llama 3.2 90B and MiniMax-M2.5 share?

1 benchmark has published results for both models. Llama 3.2 90B has 9 scored results on Noometry and MiniMax-M2.5 has 33.