Model comparison
Llama 2-13B vs MiniMax-M2
MiniMax-M2 is the stronger model overall, scoring 37.4 to 29.6 on the Noometry Index.
Last verified . 15 shared benchmarks.
Meta
MiniMaxSummary
- They share 15 benchmarks with published results for both. Llama 2-13B scores higher in 0 categories and MiniMax-M2 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiniMax-M2 leads 53.0 to 29.8.
Side by side
| Llama 2-13B | MiniMax-M2 | |
|---|---|---|
| Provider | Meta | MiniMax |
| Noometry Index | 29.6 | 37.4 |
| Released | 2023-07-18 | 2025-10-27 |
| Weights | Open | Open |
| Context window | — | 205K |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.30 |
| Output $ / M tokens | — | $1.20 |
| Results tracked | 32 | 21 |
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Category by category
Coding MiniMax-M2 leads
Llama 2-13B: 30.9 (#291), MiniMax-M2: 39.3 (#159)
| Benchmark | Llama 2-13B | MiniMax-M2 |
|---|---|---|
| LMArena Coding | 1062 | 1370 |
| SWE-bench Verified (bash only) | — | 61% |
| LMArena WebDev | — | 1297 |
Agentic & Tool Use Not comparable
Llama 2-13B: —, MiniMax-M2: 25.1 (#109)
| Benchmark | Llama 2-13B | MiniMax-M2 |
|---|---|---|
| Terminal-Bench | — | 30% |
| Vending-Bench 2 | — | 160.6 |
Reasoning MiniMax-M2 leads
Llama 2-13B: 12.8 (#337), MiniMax-M2: 19.4 (#258)
| Benchmark | Llama 2-13B | MiniMax-M2 |
|---|---|---|
| LMArena Hard Prompts | 1051 | 1357 |
| Kagi LLM Benchmark | — | 57.8% |
| NYT Connections (extended) | — | 14.8% |
| Chess Puzzles | 0% | — |
| DTBench | 42.2% | — |
| BIG-Bench Hard | 58.2% | — |
| Epoch Capabilities Index | 106.17 | — |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |
Math MiniMax-M2 leads
Llama 2-13B: 31.1 (#229), MiniMax-M2: 37.3 (#160)
| Benchmark | Llama 2-13B | MiniMax-M2 |
|---|---|---|
| LMArena Math | 1065 | 1352 |
| GSM8K | 36.9% | — |
Knowledge MiniMax-M2 leads
Llama 2-13B: 28.1 (#249), MiniMax-M2: 37.0 (#163)
| Benchmark | Llama 2-13B | MiniMax-M2 |
|---|---|---|
| LMArena Expert | 1030 | 1337 |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| MMLU | 55.6% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |
Multimodal Not comparable
Llama 2-13B: —, MiniMax-M2: —
| Benchmark | Llama 2-13B | MiniMax-M2 |
|---|---|---|
| ScienceQA | 55.8% | — |
Multilingual MiniMax-M2 leads
Llama 2-13B: 26.5 (#279), MiniMax-M2: 45.3 (#171)
| Benchmark | Llama 2-13B | MiniMax-M2 |
|---|---|---|
| LMArena Non-English | 1024 | 1313 |
| LMArena Chinese | 1001 | 1366 |
| LMArena French | 1044 | 1335 |
| LMArena German | 1009 | 1355 |
| LMArena Russian | 1055 | 1331 |
| LMArena Spanish | 1087 | 1326 |
| LMArena Japanese | 894 | — |
| LMArena Korean | 953 | — |
Instruction Following MiniMax-M2 leads
Llama 2-13B: 53.3 (#287), MiniMax-M2: 70.2 (#166)
| Benchmark | Llama 2-13B | MiniMax-M2 |
|---|---|---|
| LMArena Instruction Following | 1045 | 1328 |
Long Context MiniMax-M2 leads
Llama 2-13B: 32.3 (#269), MiniMax-M2: 40.5 (#153)
| Benchmark | Llama 2-13B | MiniMax-M2 |
|---|---|---|
| LMArena Longer Query | 1064 | 1331 |
Writing & Preference MiniMax-M2 leads
Llama 2-13B: 29.8 (#289), MiniMax-M2: 53.0 (#162)
| Benchmark | Llama 2-13B | MiniMax-M2 |
|---|---|---|
| LMArena Text | 1084 | 1340 |
| LMArena Creative Writing | 1047 | 1286 |
| LMArena Multi-Turn | 1050 | 1361 |
Frequently asked questions
Is Llama 2-13B better than MiniMax-M2?
MiniMax-M2 is the stronger model overall, scoring 37.4 to 29.6 on the Noometry Index.
Is Llama 2-13B or MiniMax-M2 better for coding?
MiniMax-M2 scores higher on coding benchmarks: 39.3 versus 30.9 in the Noometry coding category.
How many benchmarks do Llama 2-13B and MiniMax-M2 share?
15 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and MiniMax-M2 has 21.