Model comparison
Llama 3.1-405B vs MiniMax M1
MiniMax M1 is the stronger model overall, scoring 40.3 to 30.7 on the Noometry Index.
Last verified . 17 shared benchmarks.
Meta
MiniMaxSummary
- They share 17 benchmarks with published results for both. Llama 3.1-405B scores higher in 0 categories and MiniMax M1 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where MiniMax M1 leads 37.5 to 18.4.
Side by side
| Llama 3.1-405B | MiniMax M1 | |
|---|---|---|
| Provider | Meta | MiniMax |
| Noometry Index | 30.7 | 40.3 |
| Released | 2024-07-23 | 2025-06-13 |
| Weights | Open | Open |
| Context window | — | 1M |
| Max output | — | 40K |
| Input $ / M tokens | — | $0.55 |
| Output $ / M tokens | — | $2.20 |
| Results tracked | 42 | 18 |
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Category by category
Coding MiniMax M1 leads
Llama 3.1-405B: 33.1 (#262), MiniMax M1: 39.9 (#153)
| Benchmark | Llama 3.1-405B | MiniMax M1 |
|---|---|---|
| LMArena Coding | 1291 | 1359 |
| WeirdML | 21.4% | — |
Agentic & Tool Use Not comparable
Llama 3.1-405B: 21.0 (#140), MiniMax M1: —
| Benchmark | Llama 3.1-405B | MiniMax M1 |
|---|---|---|
| TheAgentCompany | 7.4% | — |
| Cybench | 7.5% | — |
Reasoning MiniMax M1 leads
Llama 3.1-405B: 16.8 (#300), MiniMax M1: 26.9 (#126)
| Benchmark | Llama 3.1-405B | MiniMax M1 |
|---|---|---|
| LMArena Hard Prompts | 1269 | 1339 |
| SimpleBench | 23% | — |
| Kagi LLM Benchmark | 45% | — |
| 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 M1 leads
Llama 3.1-405B: 18.4 (#290), MiniMax M1: 37.5 (#151)
| Benchmark | Llama 3.1-405B | MiniMax M1 |
|---|---|---|
| LMArena Math | 1281 | 1361 |
| OTIS Mock AIME 2024-2025 | 9.7% | — |
| Omni-MATH | 24.9% | — |
| MATH Level 5 | 49.8% | — |
Knowledge MiniMax M1 leads
Llama 3.1-405B: 30.4 (#227), MiniMax M1: 36.4 (#170)
| Benchmark | Llama 3.1-405B | MiniMax M1 |
|---|---|---|
| LMArena Expert | 1243 | 1317 |
| 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 M1 leads
Llama 3.1-405B: 40.7 (#214), MiniMax M1: 45.8 (#163)
| Benchmark | Llama 3.1-405B | MiniMax M1 |
|---|---|---|
| LMArena Non-English | 1248 | 1319 |
| LMArena Chinese | 1242 | 1360 |
| LMArena French | 1279 | 1370 |
| LMArena German | 1252 | 1350 |
| LMArena Japanese | 1208 | 1217 |
| LMArena Korean | 1184 | 1266 |
| LMArena Russian | 1265 | 1329 |
| LMArena Spanish | 1260 | 1353 |
Instruction Following MiniMax M1 leads
Llama 3.1-405B: 65.9 (#214), MiniMax M1: 69.3 (#174)
| Benchmark | Llama 3.1-405B | MiniMax M1 |
|---|---|---|
| LMArena Instruction Following | 1259 | 1312 |
| IFEval | 81.1% | — |
Long Context MiniMax M1 leads
Llama 3.1-405B: 38.4 (#197), MiniMax M1: 41.4 (#141)
| Benchmark | Llama 3.1-405B | MiniMax M1 |
|---|---|---|
| LMArena Longer Query | 1266 | 1326 |
| Fiction.LiveBench | — | 69.4% |
Writing & Preference MiniMax M1 leads
Llama 3.1-405B: 38.9 (#251), MiniMax M1: 53.1 (#161)
| Benchmark | Llama 3.1-405B | MiniMax M1 |
|---|---|---|
| LMArena Text | 1284 | 1343 |
| LMArena Creative Writing | 1262 | 1298 |
| LMArena Multi-Turn | 1297 | 1335 |
| EQ-Bench Creative Writing | 870 | — |
| WildBench | 78.3% | — |
Frequently asked questions
Is Llama 3.1-405B better than MiniMax M1?
MiniMax M1 is the stronger model overall, scoring 40.3 to 30.7 on the Noometry Index.
Is Llama 3.1-405B or MiniMax M1 better for coding?
MiniMax M1 scores higher on coding benchmarks: 39.9 versus 33.1 in the Noometry coding category.
How many benchmarks do Llama 3.1-405B and MiniMax M1 share?
17 benchmarks have published results for both models. Llama 3.1-405B has 42 scored results on Noometry and MiniMax M1 has 18.