Model comparison
Llama 3.1-405B vs MiniMax-M2
MiniMax-M2 is the stronger model overall, scoring 37.4 to 30.7 on the Noometry Index.
Last verified . 16 shared benchmarks.
Meta
MiniMaxSummary
- They share 16 benchmarks with published results for both. Llama 3.1-405B scores higher in 0 categories and MiniMax-M2 in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where MiniMax-M2 leads 37.3 to 18.4.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 45% for Llama 3.1-405B and 57.8% for MiniMax-M2.
Side by side
| Llama 3.1-405B | MiniMax-M2 | |
|---|---|---|
| Provider | Meta | MiniMax |
| Noometry Index | 30.7 | 37.4 |
| Released | 2024-07-23 | 2025-10-27 |
| Weights | Open | Open |
| Context window | — | 205K |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.30 |
| Output $ / M tokens | — | $1.20 |
| Results tracked | 42 | 21 |
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Category by category
Coding MiniMax-M2 leads
Llama 3.1-405B: 33.1 (#262), MiniMax-M2: 39.3 (#159)
| Benchmark | Llama 3.1-405B | MiniMax-M2 |
|---|---|---|
| LMArena Coding | 1291 | 1370 |
| SWE-bench Verified (bash only) | — | 61% |
| LMArena WebDev | — | 1297 |
| WeirdML | 21.4% | — |
Agentic & Tool Use MiniMax-M2 leads
Llama 3.1-405B: 21.0 (#140), MiniMax-M2: 25.1 (#109)
| Benchmark | Llama 3.1-405B | MiniMax-M2 |
|---|---|---|
| Terminal-Bench | — | 30% |
| TheAgentCompany | 7.4% | — |
| Cybench | 7.5% | — |
| Vending-Bench 2 | — | 160.6 |
Reasoning MiniMax-M2 leads
Llama 3.1-405B: 16.8 (#300), MiniMax-M2: 19.4 (#258)
| Benchmark | Llama 3.1-405B | MiniMax-M2 |
|---|---|---|
| Kagi LLM Benchmark | 45% | 57.8% |
| LMArena Hard Prompts | 1269 | 1357 |
| SimpleBench | 23% | — |
| NYT Connections (extended) | — | 14.8% |
| DTBench | 61.4% | — |
| BIG-Bench Hard | 82.9% | — |
| Epoch Capabilities Index | 128.75 | — |
| ForecastBench | 59.9 | — |
| HellaSwag | 89.2% | — |
| PIQA | 85.9% | — |
| WinoGrande | 89.2% | — |
Math MiniMax-M2 leads
Llama 3.1-405B: 18.4 (#290), MiniMax-M2: 37.3 (#160)
| Benchmark | Llama 3.1-405B | MiniMax-M2 |
|---|---|---|
| LMArena Math | 1281 | 1352 |
| OTIS Mock AIME 2024-2025 | 9.7% | — |
| Omni-MATH | 24.9% | — |
| MATH Level 5 | 49.8% | — |
Knowledge MiniMax-M2 leads
Llama 3.1-405B: 30.4 (#227), MiniMax-M2: 37.0 (#163)
| Benchmark | Llama 3.1-405B | MiniMax-M2 |
|---|---|---|
| LMArena Expert | 1243 | 1337 |
| GPQA Diamond | 50.9% | — |
| MMLU-Pro | 72.3% | — |
| Confabulations | 17.6% | — |
| GPQA (HELM) | 52.2% | — |
| ARC (AI2) Challenge | 95.3% | — |
| MMLU | 84.5% | — |
| TriviaQA | 82.7% | — |
Multilingual MiniMax-M2 leads
Llama 3.1-405B: 40.7 (#214), MiniMax-M2: 45.3 (#171)
| Benchmark | Llama 3.1-405B | MiniMax-M2 |
|---|---|---|
| LMArena Non-English | 1248 | 1313 |
| LMArena Chinese | 1242 | 1366 |
| LMArena French | 1279 | 1335 |
| LMArena German | 1252 | 1355 |
| LMArena Russian | 1265 | 1331 |
| LMArena Spanish | 1260 | 1326 |
| LMArena Japanese | 1208 | — |
| LMArena Korean | 1184 | — |
Instruction Following MiniMax-M2 leads
Llama 3.1-405B: 65.9 (#214), MiniMax-M2: 70.2 (#166)
| Benchmark | Llama 3.1-405B | MiniMax-M2 |
|---|---|---|
| LMArena Instruction Following | 1259 | 1328 |
| IFEval | 81.1% | — |
Long Context MiniMax-M2 leads
Llama 3.1-405B: 38.4 (#197), MiniMax-M2: 40.5 (#153)
| Benchmark | Llama 3.1-405B | MiniMax-M2 |
|---|---|---|
| LMArena Longer Query | 1266 | 1331 |
Writing & Preference MiniMax-M2 leads
Llama 3.1-405B: 38.9 (#251), MiniMax-M2: 53.0 (#162)
| Benchmark | Llama 3.1-405B | MiniMax-M2 |
|---|---|---|
| LMArena Text | 1284 | 1340 |
| LMArena Creative Writing | 1262 | 1286 |
| LMArena Multi-Turn | 1297 | 1361 |
| EQ-Bench Creative Writing | 870 | — |
| WildBench | 78.3% | — |
Frequently asked questions
Is Llama 3.1-405B better than MiniMax-M2?
MiniMax-M2 is the stronger model overall, scoring 37.4 to 30.7 on the Noometry Index.
Is Llama 3.1-405B or MiniMax-M2 better for coding?
MiniMax-M2 scores higher on coding benchmarks: 39.3 versus 33.1 in the Noometry coding category.
How many benchmarks do Llama 3.1-405B and MiniMax-M2 share?
16 benchmarks have published results for both models. Llama 3.1-405B has 42 scored results on Noometry and MiniMax-M2 has 21.