Model comparison
Llama2 70b Steerlm Chat vs MiMo-V2.5
MiMo-V2.5 is the stronger model overall, scoring 43.0 to 31.2 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-V2.5 in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2.5 leads 61.8 to 31.8.
Side by side
| Llama2 70b Steerlm Chat | MiMo-V2.5 | |
|---|---|---|
| Provider | NVIDIA | Xiaomi |
| Noometry Index | 31.2 | 43.0 |
| Released | — | 2026-04-22 |
| Weights | Open | Open |
| Context window | — | 1.05M |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.14 |
| Output $ / M tokens | — | $0.28 |
| Results tracked | 9 | 23 |
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Category by category
Coding MiMo-V2.5 leads
Llama2 70b Steerlm Chat: 29.3 (#295), MiMo-V2.5: 43.6 (#75)
| Benchmark | Llama2 70b Steerlm Chat | MiMo-V2.5 |
|---|---|---|
| LMArena Coding | 1025 | 1469 |
| LMArena WebDev | — | 1438 |
| SciCode | — | 43.1% |
| ALE-Bench | — | 513.95 |
Reasoning MiMo-V2.5 leads
Llama2 70b Steerlm Chat: 19.1 (#245), MiMo-V2.5: 27.8 (#98)
| Benchmark | Llama2 70b Steerlm Chat | MiMo-V2.5 |
|---|---|---|
| LMArena Hard Prompts | 1047 | 1450 |
| CritPt | — | 3.7% |
Math MiMo-V2.5 leads
Llama2 70b Steerlm Chat: 28.8 (#223), MiMo-V2.5: 35.4 (#145)
| Benchmark | Llama2 70b Steerlm Chat | MiMo-V2.5 |
|---|---|---|
| LMArena Math | 1072 | 1436 |
| ProofBench | — | 16% |
Knowledge Not comparable
Llama2 70b Steerlm Chat: —, MiMo-V2.5: 40.2 (#109)
| Benchmark | Llama2 70b Steerlm Chat | MiMo-V2.5 |
|---|---|---|
| LMArena Expert | — | 1459 |
Multimodal Not comparable
Llama2 70b Steerlm Chat: —, MiMo-V2.5: 39.0 (#53)
| Benchmark | Llama2 70b Steerlm Chat | MiMo-V2.5 |
|---|---|---|
| LMArena Vision | — | 1245 |
Multilingual MiMo-V2.5 leads
Llama2 70b Steerlm Chat: 28.9 (#265), MiMo-V2.5: 52.0 (#96)
| Benchmark | Llama2 70b Steerlm Chat | MiMo-V2.5 |
|---|---|---|
| LMArena Non-English | 1064 | 1404 |
| LMArena Chinese | — | 1467 |
| LMArena French | — | 1447 |
| LMArena German | — | 1421 |
| LMArena Japanese | — | 1304 |
| LMArena Korean | — | 1363 |
| LMArena Russian | — | 1395 |
| LMArena Spanish | — | 1412 |
Instruction Following MiMo-V2.5 leads
Llama2 70b Steerlm Chat: 54.5 (#274), MiMo-V2.5: 75.7 (#55)
| Benchmark | Llama2 70b Steerlm Chat | MiMo-V2.5 |
|---|---|---|
| LMArena Instruction Following | 1061 | 1433 |
Long Context MiMo-V2.5 leads
Llama2 70b Steerlm Chat: 30.4 (#283), MiMo-V2.5: 44.1 (#69)
| Benchmark | Llama2 70b Steerlm Chat | MiMo-V2.5 |
|---|---|---|
| LMArena Longer Query | 998 | 1444 |
Writing & Preference MiMo-V2.5 leads
Llama2 70b Steerlm Chat: 31.8 (#278), MiMo-V2.5: 61.8 (#82)
| Benchmark | Llama2 70b Steerlm Chat | MiMo-V2.5 |
|---|---|---|
| LMArena Text | 1098 | 1427 |
| LMArena Creative Writing | 1091 | 1392 |
| LMArena Multi-Turn | 1058 | 1445 |
Frequently asked questions
Is Llama2 70b Steerlm Chat better than MiMo-V2.5?
MiMo-V2.5 is the stronger model overall, scoring 43.0 to 31.2 on the Noometry Index.
Is Llama2 70b Steerlm Chat or MiMo-V2.5 better for coding?
MiMo-V2.5 scores higher on coding benchmarks: 43.6 versus 29.3 in the Noometry coding category.
How many benchmarks do Llama2 70b Steerlm Chat and MiMo-V2.5 share?
9 benchmarks have published results for both models. Llama2 70b Steerlm Chat has 9 scored results on Noometry and MiMo-V2.5 has 23.