Model comparison
Llama 3-8B vs MiniMax M1
MiniMax M1 is the stronger model overall, scoring 40.3 to 25.5 on the Noometry Index.
Last verified . 17 shared benchmarks.
Meta
MiniMaxSummary
- They share 17 benchmarks with published results for both. Llama 3-8B 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 8.8.
Side by side
| Llama 3-8B | MiniMax M1 | |
|---|---|---|
| Provider | Meta | MiniMax |
| Noometry Index | 25.5 | 40.3 |
| Released | 2024-04-18 | 2025-06-13 |
| Weights | Open | Open |
| Context window | — | 1M |
| Max output | — | 40K |
| Input $ / M tokens | — | $0.55 |
| Output $ / M tokens | — | $2.20 |
| Results tracked | 34 | 18 |
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Category by category
Coding MiniMax M1 leads
Llama 3-8B: 31.0 (#289), MiniMax M1: 39.9 (#153)
| Benchmark | Llama 3-8B | MiniMax M1 |
|---|---|---|
| LMArena Coding | 1152 | 1359 |
| BigCodeBench Instruct | 31.9% | — |
| BigCodeBench Complete | 36.9% | — |
| HumanEval+ | 56.7% | — |
| MBPP+ | 54.8% | — |
Reasoning MiniMax M1 leads
Llama 3-8B: 14.3 (#326), MiniMax M1: 26.9 (#126)
| Benchmark | Llama 3-8B | MiniMax M1 |
|---|---|---|
| LMArena Hard Prompts | 1133 | 1339 |
| Chess Puzzles | 0% | — |
| DTBench | 43.9% | — |
| Adversarial NLI | 57.3% | — |
| Epoch Capabilities Index | 116.45 | — |
| ForecastBench | 58.6 | — |
| WinoGrande | 75.7% | — |
Math MiniMax M1 leads
Llama 3-8B: 8.8 (#323), MiniMax M1: 37.5 (#151)
| Benchmark | Llama 3-8B | MiniMax M1 |
|---|---|---|
| LMArena Math | 1151 | 1361 |
| OTIS Mock AIME 2024-2025 | 1.9% | — |
| MATH Level 5 | 6.1% | — |
Knowledge MiniMax M1 leads
Llama 3-8B: 7.8 (#308), MiniMax M1: 36.4 (#170)
| Benchmark | Llama 3-8B | MiniMax M1 |
|---|---|---|
| LMArena Expert | 1113 | 1317 |
| GPQA Diamond | 26.1% | — |
| ARC (AI2) Challenge | 82.8% | — |
| MMLU | 68.8% | — |
| OpenBookQA | 82.6% | — |
| TriviaQA | 67.7% | — |
Multilingual MiniMax M1 leads
Llama 3-8B: 30.8 (#261), MiniMax M1: 45.8 (#163)
| Benchmark | Llama 3-8B | MiniMax M1 |
|---|---|---|
| LMArena Non-English | 1098 | 1319 |
| LMArena Chinese | 1076 | 1360 |
| LMArena French | 1159 | 1370 |
| LMArena German | 1104 | 1350 |
| LMArena Japanese | 967 | 1217 |
| LMArena Korean | 1004 | 1266 |
| LMArena Russian | 1109 | 1329 |
| LMArena Spanish | 1173 | 1353 |
Instruction Following MiniMax M1 leads
Llama 3-8B: 58.4 (#260), MiniMax M1: 69.3 (#174)
| Benchmark | Llama 3-8B | MiniMax M1 |
|---|---|---|
| LMArena Instruction Following | 1127 | 1312 |
Long Context MiniMax M1 leads
Llama 3-8B: 34.2 (#251), MiniMax M1: 41.4 (#141)
| Benchmark | Llama 3-8B | MiniMax M1 |
|---|---|---|
| LMArena Longer Query | 1128 | 1326 |
| Fiction.LiveBench | — | 69.4% |
Writing & Preference MiniMax M1 leads
Llama 3-8B: 37.5 (#256), MiniMax M1: 53.1 (#161)
| Benchmark | Llama 3-8B | MiniMax M1 |
|---|---|---|
| LMArena Text | 1166 | 1343 |
| LMArena Creative Writing | 1150 | 1298 |
| LMArena Multi-Turn | 1152 | 1335 |
Frequently asked questions
Is Llama 3-8B better than MiniMax M1?
MiniMax M1 is the stronger model overall, scoring 40.3 to 25.5 on the Noometry Index.
Is Llama 3-8B or MiniMax M1 better for coding?
MiniMax M1 scores higher on coding benchmarks: 39.9 versus 31.0 in the Noometry coding category.
How many benchmarks do Llama 3-8B and MiniMax M1 share?
17 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and MiniMax M1 has 18.