Model comparison
Llama 13b vs MiniMax-M2.5
MiniMax-M2.5 is the stronger model overall, scoring 38.3 to 24.4 on the Noometry Index.
Last verified . 9 shared benchmarks.
Meta
MiniMaxSummary
- They share 9 benchmarks with published results for both. Llama 13b scores higher in 0 categories and MiniMax-M2.5 in 6 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiniMax-M2.5 leads 53.9 to 13.8.
Side by side
| Llama 13b | MiniMax-M2.5 | |
|---|---|---|
| Provider | Meta | MiniMax |
| Noometry Index | 24.4 | 38.3 |
| Released | 2023-02-24 | 2026-02-12 |
| Weights | Open | Open |
| Context window | — | 205K |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.30 |
| Output $ / M tokens | — | $1.20 |
| Results tracked | 21 | 33 |
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Category by category
Coding MiniMax-M2.5 leads
Llama 13b: 21.4 (#337), MiniMax-M2.5: 48.1 (#58)
| Benchmark | Llama 13b | MiniMax-M2.5 |
|---|---|---|
| LMArena Coding | 683 | 1381 |
| SWE-bench Verified (bash only) | — | 75.8% |
| LMArena WebDev | — | 1387 |
| SWE-bench Multilingual | — | 68.3% |
| ALE-Bench | — | 618.17 |
Agentic & Tool Use Not comparable
Llama 13b: —, MiniMax-M2.5: 30.4 (#77)
| Benchmark | Llama 13b | MiniMax-M2.5 |
|---|---|---|
| Terminal-Bench | — | 42.7% |
| Vending-Bench 2 | — | -23.16 |
Reasoning MiniMax-M2.5 leads
Llama 13b: 14.0 (#329), MiniMax-M2.5: 17.5 (#292)
| Benchmark | Llama 13b | MiniMax-M2.5 |
|---|---|---|
| LMArena Hard Prompts | 728 | 1372 |
| Epoch Capabilities Index | 100.58 | 146.68 |
| ARC-AGI-2 | — | 4.9% |
| Kagi LLM Benchmark | — | 55.2% |
| NYT Connections (extended) | — | 16.8% |
| ARC-AGI-1 | — | 63.7% |
| BIG-Bench Hard | 37.9% | — |
| HellaSwag | 79.2% | — |
| LAMBADA | 75.2% | — |
| PIQA | 80.1% | — |
| WinoGrande | 73% | — |
Math Too close to call
Llama 13b: 26.7 (#256), MiniMax-M2.5: 26.9 (#253)
| Benchmark | Llama 13b | MiniMax-M2.5 |
|---|---|---|
| LMArena Math | 838 | 1378 |
| ProofBench | — | 4% |
| GSM8K | 20.6% | — |
Knowledge Not comparable
Llama 13b: —, MiniMax-M2.5: 39.2 (#135)
| Benchmark | Llama 13b | MiniMax-M2.5 |
|---|---|---|
| Vectara Hallucination Rate | — | 9.1% |
| LMArena Expert | — | 1379 |
| ARC (AI2) Challenge | 52.7% | — |
| BoolQ | 78.7% | — |
| MMLU | 47.7% | — |
| OpenBookQA | 56.4% | — |
| TriviaQA | 77.9% | — |
Multimodal Not comparable
Llama 13b: —, MiniMax-M2.5: —
| Benchmark | Llama 13b | MiniMax-M2.5 |
|---|---|---|
| ScienceQA | 43.3% | — |
Multilingual MiniMax-M2.5 leads
Llama 13b: 16.6 (#297), MiniMax-M2.5: 47.1 (#152)
| Benchmark | Llama 13b | MiniMax-M2.5 |
|---|---|---|
| LMArena Non-English | 819 | 1338 |
| LMArena Chinese | — | 1393 |
| LMArena French | — | 1362 |
| LMArena German | — | 1362 |
| LMArena Japanese | — | 1171 |
| LMArena Korean | — | 1232 |
| LMArena Russian | — | 1358 |
| LMArena Spanish | — | 1354 |
Instruction Following MiniMax-M2.5 leads
Llama 13b: 36.7 (#305), MiniMax-M2.5: 71.5 (#148)
| Benchmark | Llama 13b | MiniMax-M2.5 |
|---|---|---|
| LMArena Instruction Following | 781 | 1353 |
Long Context Not comparable
Llama 13b: —, MiniMax-M2.5: 37.5 (#216)
| Benchmark | Llama 13b | MiniMax-M2.5 |
|---|---|---|
| CL-bench | — | 11.4% |
| CL-bench Life | — | 6.3% |
| LMArena Longer Query | — | 1366 |
Writing & Preference MiniMax-M2.5 leads
Llama 13b: 13.8 (#312), MiniMax-M2.5: 53.9 (#153)
| Benchmark | Llama 13b | MiniMax-M2.5 |
|---|---|---|
| LMArena Text | 834 | 1359 |
| LMArena Creative Writing | 794 | 1331 |
| LMArena Multi-Turn | 753 | 1364 |
| EQ-Bench Creative Writing | — | 1361 |
Frequently asked questions
Is Llama 13b better than MiniMax-M2.5?
MiniMax-M2.5 is the stronger model overall, scoring 38.3 to 24.4 on the Noometry Index.
Is Llama 13b or MiniMax-M2.5 better for coding?
MiniMax-M2.5 scores higher on coding benchmarks: 48.1 versus 21.4 in the Noometry coding category.
How many benchmarks do Llama 13b and MiniMax-M2.5 share?
9 benchmarks have published results for both models. Llama 13b has 21 scored results on Noometry and MiniMax-M2.5 has 33.