Model comparison
Llama 2-70B vs MiniMax-M2.5
MiniMax-M2.5 is the stronger model overall, scoring 38.3 to 24.4 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. Llama 2-70B scores higher in 0 categories and MiniMax-M2.5 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where MiniMax-M2.5 leads 39.2 to 7.4.
Side by side
| Llama 2-70B | MiniMax-M2.5 | |
|---|---|---|
| Provider | Meta | MiniMax |
| Noometry Index | 24.4 | 38.3 |
| Released | 2023-07-18 | 2026-02-12 |
| Weights | Open | Open |
| Context window | — | 205K |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.30 |
| Output $ / M tokens | — | $1.20 |
| Results tracked | 35 | 33 |
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Category by category
Coding MiniMax-M2.5 leads
Llama 2-70B: 31.4 (#286), MiniMax-M2.5: 48.1 (#58)
| Benchmark | Llama 2-70B | MiniMax-M2.5 |
|---|---|---|
| LMArena Coding | 1079 | 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 2-70B: —, MiniMax-M2.5: 30.4 (#77)
| Benchmark | Llama 2-70B | MiniMax-M2.5 |
|---|---|---|
| Terminal-Bench | — | 42.7% |
| Vending-Bench 2 | — | -23.16 |
Reasoning MiniMax-M2.5 leads
Llama 2-70B: 14.4 (#325), MiniMax-M2.5: 17.5 (#292)
| Benchmark | Llama 2-70B | MiniMax-M2.5 |
|---|---|---|
| LMArena Hard Prompts | 1073 | 1372 |
| Epoch Capabilities Index | 113.79 | 146.68 |
| ARC-AGI-2 | — | 4.9% |
| Kagi LLM Benchmark | — | 55.2% |
| NYT Connections (extended) | — | 16.8% |
| ARC-AGI-1 | — | 63.7% |
| DTBench | 41.6% | — |
| BIG-Bench Hard | 64.9% | — |
| CommonsenseQA 2.0 | 50% | — |
| ForecastBench | 51.4 | — |
| HellaSwag | 85.3% | — |
| LAMBADA | 78.9% | — |
| PIQA | 82.8% | — |
| WinoGrande | 80.2% | — |
Math MiniMax-M2.5 leads
Llama 2-70B: 8.1 (#326), MiniMax-M2.5: 26.9 (#253)
| Benchmark | Llama 2-70B | MiniMax-M2.5 |
|---|---|---|
| LMArena Math | 1091 | 1378 |
| OTIS Mock AIME 2024-2025 | 0% | — |
| ProofBench | — | 4% |
| MATH Level 5 | 3.3% | — |
| GSM8K | 69.6% | — |
Knowledge MiniMax-M2.5 leads
Llama 2-70B: 7.4 (#310), MiniMax-M2.5: 39.2 (#135)
| Benchmark | Llama 2-70B | MiniMax-M2.5 |
|---|---|---|
| LMArena Expert | 1039 | 1379 |
| GPQA Diamond | 26.3% | — |
| Vectara Hallucination Rate | — | 9.1% |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 88.6% | — |
| MMLU | 69.9% | — |
| OpenBookQA | 60.2% | — |
| TriviaQA | 87.6% | — |
Multilingual MiniMax-M2.5 leads
Llama 2-70B: 27.7 (#274), MiniMax-M2.5: 47.1 (#152)
| Benchmark | Llama 2-70B | MiniMax-M2.5 |
|---|---|---|
| LMArena Non-English | 1045 | 1338 |
| LMArena Chinese | 995 | 1393 |
| LMArena French | 1090 | 1362 |
| LMArena German | 1041 | 1362 |
| LMArena Japanese | 927 | 1171 |
| LMArena Korean | 964 | 1232 |
| LMArena Russian | 1083 | 1358 |
| LMArena Spanish | 1143 | 1354 |
Instruction Following MiniMax-M2.5 leads
Llama 2-70B: 54.9 (#278), MiniMax-M2.5: 71.5 (#148)
| Benchmark | Llama 2-70B | MiniMax-M2.5 |
|---|---|---|
| LMArena Instruction Following | 1071 | 1353 |
Long Context MiniMax-M2.5 leads
Llama 2-70B: 32.3 (#270), MiniMax-M2.5: 37.5 (#216)
| Benchmark | Llama 2-70B | MiniMax-M2.5 |
|---|---|---|
| LMArena Longer Query | 1062 | 1366 |
| CL-bench | — | 11.4% |
| CL-bench Life | — | 6.3% |
Writing & Preference MiniMax-M2.5 leads
Llama 2-70B: 32.3 (#279), MiniMax-M2.5: 53.9 (#153)
| Benchmark | Llama 2-70B | MiniMax-M2.5 |
|---|---|---|
| LMArena Text | 1115 | 1359 |
| LMArena Creative Writing | 1075 | 1331 |
| LMArena Multi-Turn | 1088 | 1364 |
| EQ-Bench Creative Writing | — | 1361 |
Frequently asked questions
Is Llama 2-70B 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 2-70B or MiniMax-M2.5 better for coding?
MiniMax-M2.5 scores higher on coding benchmarks: 48.1 versus 31.4 in the Noometry coding category.
How many benchmarks do Llama 2-70B and MiniMax-M2.5 share?
18 benchmarks have published results for both models. Llama 2-70B has 35 scored results on Noometry and MiniMax-M2.5 has 33.