Model comparison
Llama2 70b Steerlm Chat vs MiniMax-M2.7
MiniMax-M2.7 is the stronger model overall, scoring 37.7 to 31.8 on the Noometry Index.
Last verified . 9 shared benchmarks.
NVIDIA
MiniMaxSummary
- They share 9 benchmarks with published results for both. Llama2 70b Steerlm Chat scores higher in 2 categories and MiniMax-M2.7 in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiniMax-M2.7 leads 58.9 to 31.6.
Side by side
| Llama2 70b Steerlm Chat | MiniMax-M2.7 | |
|---|---|---|
| Provider | NVIDIA | MiniMax |
| Noometry Index | 31.8 | 37.7 |
| Released | — | 2026-03-18 |
| Weights | Open | Open |
| Context window | — | 205K |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.30 |
| Output $ / M tokens | — | $1.20 |
| Results tracked | 9 | 30 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding MiniMax-M2.7 leads
Llama2 70b Steerlm Chat: 29.9 (#300), MiniMax-M2.7: 41.8 (#120)
| Benchmark | Llama2 70b Steerlm Chat | MiniMax-M2.7 |
|---|---|---|
| LMArena Coding | 1025 | 1454 |
| LMArena WebDev | — | 1398 |
| SciCode | — | 47% |
| WeirdML | — | 37% |
| ALE-Bench | — | 599.25 |
Agentic & Tool Use Not comparable
Llama2 70b Steerlm Chat: —, MiniMax-M2.7: 25.1 (#111)
| Benchmark | Llama2 70b Steerlm Chat | MiniMax-M2.7 |
|---|---|---|
| Terminal-Bench | — | 45.1% |
| ExploitBench | — | 13.3% |
| GBAEval | — | 0% |
Reasoning Too close to call
Llama2 70b Steerlm Chat: 20.0 (#246), MiniMax-M2.7: 19.7 (#253)
| Benchmark | Llama2 70b Steerlm Chat | MiniMax-M2.7 |
|---|---|---|
| LMArena Hard Prompts | 1047 | 1422 |
| NYT Connections (extended) | — | 24.7% |
| CritPt | — | 0.6% |
| Thematic Generalization | — | 39.3% |
| Epoch Capabilities Index | — | 145.85 |
Math Llama2 70b Steerlm Chat leads
Llama2 70b Steerlm Chat: 31.3 (#226), MiniMax-M2.7: 25.9 (#263)
| Benchmark | Llama2 70b Steerlm Chat | MiniMax-M2.7 |
|---|---|---|
| LMArena Math | 1072 | 1420 |
| ProofBench | — | 3% |
Knowledge Not comparable
Llama2 70b Steerlm Chat: —, MiniMax-M2.7: 37.7 (#152)
| Benchmark | Llama2 70b Steerlm Chat | MiniMax-M2.7 |
|---|---|---|
| Vectara Hallucination Rate | — | 12.9% |
| LMArena Expert | — | 1444 |
Multilingual MiniMax-M2.7 leads
Llama2 70b Steerlm Chat: 28.8 (#270), MiniMax-M2.7: 50.3 (#123)
| Benchmark | Llama2 70b Steerlm Chat | MiniMax-M2.7 |
|---|---|---|
| LMArena Non-English | 1063 | 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
Llama2 70b Steerlm Chat: 54.2 (#279), MiniMax-M2.7: 74.1 (#103)
| Benchmark | Llama2 70b Steerlm Chat | MiniMax-M2.7 |
|---|---|---|
| LMArena Instruction Following | 1060 | 1405 |
Long Context MiniMax-M2.7 leads
Llama2 70b Steerlm Chat: 30.4 (#288), MiniMax-M2.7: 43.3 (#99)
| Benchmark | Llama2 70b Steerlm Chat | MiniMax-M2.7 |
|---|---|---|
| LMArena Longer Query | 998 | 1419 |
Writing & Preference MiniMax-M2.7 leads
Llama2 70b Steerlm Chat: 31.6 (#283), MiniMax-M2.7: 58.9 (#112)
| Benchmark | Llama2 70b Steerlm Chat | MiniMax-M2.7 |
|---|---|---|
| LMArena Text | 1098 | 1405 |
| LMArena Creative Writing | 1091 | 1354 |
| LMArena Multi-Turn | 1058 | 1412 |
Frequently asked questions
Is Llama2 70b Steerlm Chat better than MiniMax-M2.7?
MiniMax-M2.7 is the stronger model overall, scoring 37.7 to 31.8 on the Noometry Index.
Is Llama2 70b Steerlm Chat or MiniMax-M2.7 better for coding?
MiniMax-M2.7 scores higher on coding benchmarks: 41.8 versus 29.9 in the Noometry coding category.
How many benchmarks do Llama2 70b Steerlm Chat and MiniMax-M2.7 share?
9 benchmarks have published results for both models. Llama2 70b Steerlm Chat has 9 scored results on Noometry and MiniMax-M2.7 has 30.