Model comparison
MiniMax-M2.7 vs OLMo 2 Furious 13B
MiniMax-M2.7 is the stronger model overall, scoring 37.7 to 29.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
MiniMax
Allen Institute for AI (Ai2)Summary
- The widest gap is in knowledge, where MiniMax-M2.7 leads 37.7 to 18.3.
Side by side
| MiniMax-M2.7 | OLMo 2 Furious 13B | |
|---|---|---|
| Provider | MiniMax | Allen Institute for AI (Ai2) |
| Noometry Index | 37.7 | 29.7 |
| Released | 2026-03-18 | 2024-12-31 |
| Weights | Open | Open |
| Context window | 205K | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $1.20 | — |
| Results tracked | 30 | 12 |
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Category by category
Coding MiniMax-M2.7 leads
MiniMax-M2.7: 41.8 (#120), OLMo 2 Furious 13B: 28.6 (#313)
| Benchmark | MiniMax-M2.7 | OLMo 2 Furious 13B |
|---|---|---|
| LMArena WebDev | 1398 | — |
| SciCode | 47% | — |
| WeirdML | 37% | — |
| LiveBench Coding | — | 10.4% |
| LMArena Coding | 1454 | — |
| ALE-Bench | 599.25 | — |
Agentic & Tool Use Not comparable
MiniMax-M2.7: 25.1 (#111), OLMo 2 Furious 13B: —
| Benchmark | MiniMax-M2.7 | OLMo 2 Furious 13B |
|---|---|---|
| Terminal-Bench | 45.1% | — |
| ExploitBench | 13.3% | — |
| GBAEval | 0% | — |
Reasoning MiniMax-M2.7 leads
MiniMax-M2.7: 19.7 (#253), OLMo 2 Furious 13B: 15.5 (#314)
| Benchmark | MiniMax-M2.7 | OLMo 2 Furious 13B |
|---|---|---|
| NYT Connections (extended) | 24.7% | — |
| CritPt | 0.6% | — |
| Thematic Generalization | 39.3% | — |
| LiveBench Reasoning | — | 16.3% |
| LMArena Hard Prompts | 1422 | — |
| LiveBench Data Analysis | — | 20.6% |
| Epoch Capabilities Index | 145.85 | — |
| LiveBench | — | 22.1% |
Math MiniMax-M2.7 leads
MiniMax-M2.7: 25.9 (#263), OLMo 2 Furious 13B: 23.1 (#273)
| Benchmark | MiniMax-M2.7 | OLMo 2 Furious 13B |
|---|---|---|
| ProofBench | 3% | — |
| Omni-MATH | — | 15.6% |
| LiveBench Math | — | 13.6% |
| LMArena Math | 1420 | — |
Knowledge MiniMax-M2.7 leads
MiniMax-M2.7: 37.7 (#152), OLMo 2 Furious 13B: 18.3 (#283)
| Benchmark | MiniMax-M2.7 | OLMo 2 Furious 13B |
|---|---|---|
| MMLU-Pro | — | 31% |
| Vectara Hallucination Rate | 12.9% | — |
| GPQA (HELM) | — | 31.6% |
| LMArena Expert | 1444 | — |
Multilingual Not comparable
MiniMax-M2.7: 50.3 (#123), OLMo 2 Furious 13B: —
| Benchmark | MiniMax-M2.7 | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Non-English | 1382 | — |
| LMArena Chinese | 1441 | — |
| LMArena French | 1421 | — |
| LMArena German | 1398 | — |
| LMArena Japanese | 1262 | — |
| LMArena Korean | 1313 | — |
| LMArena Russian | 1383 | — |
| LMArena Spanish | 1403 | — |
Instruction Following MiniMax-M2.7 leads
MiniMax-M2.7: 74.1 (#103), OLMo 2 Furious 13B: 60.9 (#248)
| Benchmark | MiniMax-M2.7 | OLMo 2 Furious 13B |
|---|---|---|
| LiveBench Instruction Following | — | 60.6% |
| IFEval | — | 73% |
| LMArena Instruction Following | 1405 | — |
Long Context Not comparable
MiniMax-M2.7: 43.3 (#99), OLMo 2 Furious 13B: —
| Benchmark | MiniMax-M2.7 | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Longer Query | 1419 | — |
Writing & Preference MiniMax-M2.7 leads
MiniMax-M2.7: 58.9 (#112), OLMo 2 Furious 13B: 42.9 (#230)
| Benchmark | MiniMax-M2.7 | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Text | 1405 | — |
| LMArena Creative Writing | 1354 | — |
| WildBench | — | 68.9% |
| LMArena Multi-Turn | 1412 | — |
| LiveBench Language | — | 11.2% |
Frequently asked questions
Is MiniMax-M2.7 better than OLMo 2 Furious 13B?
MiniMax-M2.7 is the stronger model overall, scoring 37.7 to 29.7 on the Noometry Index.
Is MiniMax-M2.7 or OLMo 2 Furious 13B better for coding?
MiniMax-M2.7 scores higher on coding benchmarks: 41.8 versus 28.6 in the Noometry coding category.
How many benchmarks do MiniMax-M2.7 and OLMo 2 Furious 13B share?
0 benchmarks have published results for both models. MiniMax-M2.7 has 30 scored results on Noometry and OLMo 2 Furious 13B has 12.