Model comparison
Llama2 70b Steerlm Chat vs MiMo-V2.6-Pro
MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 31.8 on the Noometry Index.
Last verified . 9 shared benchmarks.
NVIDIASummary
- They share 9 benchmarks with published results for both. Llama2 70b Steerlm Chat scores higher in 0 categories and MiMo-V2.6-Pro in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2.6-Pro leads 66.8 to 31.6.
Side by side
| Llama2 70b Steerlm Chat | MiMo-V2.6-Pro | |
|---|---|---|
| Provider | NVIDIA | Xiaomi |
| Noometry Index | 31.8 | 50.3 |
| Released | — | 2026-09-21 |
| Weights | Open | Open |
| Context window | — | 1.05M |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.43 |
| Output $ / M tokens | — | $0.87 |
| Results tracked | 9 | 19 |
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Category by category
Coding MiMo-V2.6-Pro leads
Llama2 70b Steerlm Chat: 29.9 (#300), MiMo-V2.6-Pro: 55.5 (#23)
| Benchmark | Llama2 70b Steerlm Chat | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Coding | 1025 | 1534 |
| LMArena WebDev | — | 1629 |
| SciCode | — | 60.9% |
| ALE-Bench | — | 1,158 |
Agentic & Tool Use Not comparable
Llama2 70b Steerlm Chat: —, MiMo-V2.6-Pro: 37.5 (#35)
| Benchmark | Llama2 70b Steerlm Chat | MiMo-V2.6-Pro |
|---|---|---|
| APEX-Agents | — | 59.5% |
Reasoning MiMo-V2.6-Pro leads
Llama2 70b Steerlm Chat: 20.0 (#246), MiMo-V2.6-Pro: 43.1 (#50)
| Benchmark | Llama2 70b Steerlm Chat | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Hard Prompts | 1047 | 1512 |
| CritPt | — | 26.6% |
Math MiMo-V2.6-Pro leads
Llama2 70b Steerlm Chat: 31.3 (#226), MiMo-V2.6-Pro: 54.5 (#45)
| Benchmark | Llama2 70b Steerlm Chat | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Math | 1072 | 1494 |
| ProofBench | — | 70% |
Knowledge Not comparable
Llama2 70b Steerlm Chat: —, MiMo-V2.6-Pro: 43.5 (#92)
| Benchmark | Llama2 70b Steerlm Chat | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Expert | — | 1543 |
Multimodal Not comparable
Llama2 70b Steerlm Chat: —, MiMo-V2.6-Pro: 40.8 (#43)
| Benchmark | Llama2 70b Steerlm Chat | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Vision | — | 1264 |
Multilingual MiMo-V2.6-Pro leads
Llama2 70b Steerlm Chat: 28.8 (#270), MiMo-V2.6-Pro: 56.9 (#14)
| Benchmark | Llama2 70b Steerlm Chat | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Non-English | 1063 | 1474 |
| LMArena Chinese | — | 1529 |
| LMArena Russian | — | 1480 |
Instruction Following MiMo-V2.6-Pro leads
Llama2 70b Steerlm Chat: 54.2 (#279), MiMo-V2.6-Pro: 78.2 (#12)
| Benchmark | Llama2 70b Steerlm Chat | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Instruction Following | 1060 | 1493 |
Long Context MiMo-V2.6-Pro leads
Llama2 70b Steerlm Chat: 30.4 (#288), MiMo-V2.6-Pro: 46.0 (#27)
| Benchmark | Llama2 70b Steerlm Chat | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Longer Query | 998 | 1501 |
Writing & Preference MiMo-V2.6-Pro leads
Llama2 70b Steerlm Chat: 31.6 (#283), MiMo-V2.6-Pro: 66.8 (#33)
| Benchmark | Llama2 70b Steerlm Chat | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Text | 1098 | 1492 |
| LMArena Creative Writing | 1091 | 1468 |
| LMArena Multi-Turn | 1058 | 1464 |
Frequently asked questions
Is Llama2 70b Steerlm Chat better than MiMo-V2.6-Pro?
MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 31.8 on the Noometry Index.
Is Llama2 70b Steerlm Chat or MiMo-V2.6-Pro better for coding?
MiMo-V2.6-Pro scores higher on coding benchmarks: 55.5 versus 29.9 in the Noometry coding category.
How many benchmarks do Llama2 70b Steerlm Chat and MiMo-V2.6-Pro share?
9 benchmarks have published results for both models. Llama2 70b Steerlm Chat has 9 scored results on Noometry and MiMo-V2.6-Pro has 19.