Model comparison
Llama2 70b Steerlm Chat vs Qwen2.5-Max
Qwen2.5-Max is the stronger model overall, scoring 40.1 to 31.2 on the Noometry Index.
Last verified . 9 shared benchmarks.
NVIDIA
Alibaba (Qwen)Summary
- They share 9 benchmarks with published results for both. Llama2 70b Steerlm Chat scores higher in 0 categories and Qwen2.5-Max in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen2.5-Max leads 55.6 to 31.8.
- Llama2 70b Steerlm Chat has downloadable open weights; the other is API-only.
Side by side
| Llama2 70b Steerlm Chat | Qwen2.5-Max | |
|---|---|---|
| Provider | NVIDIA | Alibaba (Qwen) |
| Noometry Index | 31.2 | 40.1 |
| Released | — | 2025-01-25 |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 9 | 27 |
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Category by category
Coding Qwen2.5-Max leads
Llama2 70b Steerlm Chat: 29.3 (#295), Qwen2.5-Max: 41.2 (#118)
| Benchmark | Llama2 70b Steerlm Chat | Qwen2.5-Max |
|---|---|---|
| LMArena Coding | 1025 | 1359 |
| LiveBench Coding | — | 64.4% |
Reasoning Qwen2.5-Max leads
Llama2 70b Steerlm Chat: 19.1 (#245), Qwen2.5-Max: 24.6 (#144)
| Benchmark | Llama2 70b Steerlm Chat | Qwen2.5-Max |
|---|---|---|
| LMArena Hard Prompts | 1047 | 1360 |
| LiveBench Reasoning | — | 51.4% |
| LiveBench Data Analysis | — | 67.9% |
| Epoch Capabilities Index | — | 132.54 |
| LiveBench | — | 62.3% |
Math Qwen2.5-Max leads
Llama2 70b Steerlm Chat: 28.8 (#223), Qwen2.5-Max: 34.3 (#162)
| Benchmark | Llama2 70b Steerlm Chat | Qwen2.5-Max |
|---|---|---|
| LMArena Math | 1072 | 1369 |
| LiveBench Math | — | 58.4% |
Knowledge Not comparable
Llama2 70b Steerlm Chat: —, Qwen2.5-Max: 34.8 (#181)
| Benchmark | Llama2 70b Steerlm Chat | Qwen2.5-Max |
|---|---|---|
| Confabulations | — | 21.8% |
| LMArena Expert | — | 1337 |
Multilingual Qwen2.5-Max leads
Llama2 70b Steerlm Chat: 28.9 (#265), Qwen2.5-Max: 48.3 (#140)
| Benchmark | Llama2 70b Steerlm Chat | Qwen2.5-Max |
|---|---|---|
| LMArena Non-English | 1064 | 1352 |
| LMArena Chinese | — | 1382 |
| LMArena French | — | 1396 |
| LMArena German | — | 1350 |
| LMArena Japanese | — | 1299 |
| LMArena Korean | — | 1304 |
| LMArena Russian | — | 1353 |
| LMArena Spanish | — | 1377 |
Instruction Following Qwen2.5-Max leads
Llama2 70b Steerlm Chat: 54.5 (#274), Qwen2.5-Max: 71.5 (#147)
| Benchmark | Llama2 70b Steerlm Chat | Qwen2.5-Max |
|---|---|---|
| LMArena Instruction Following | 1061 | 1335 |
| LiveBench Instruction Following | — | 75.3% |
Long Context Qwen2.5-Max leads
Llama2 70b Steerlm Chat: 30.4 (#283), Qwen2.5-Max: 41.3 (#137)
| Benchmark | Llama2 70b Steerlm Chat | Qwen2.5-Max |
|---|---|---|
| LMArena Longer Query | 998 | 1358 |
Writing & Preference Qwen2.5-Max leads
Llama2 70b Steerlm Chat: 31.8 (#278), Qwen2.5-Max: 55.6 (#141)
| Benchmark | Llama2 70b Steerlm Chat | Qwen2.5-Max |
|---|---|---|
| LMArena Text | 1098 | 1367 |
| LMArena Creative Writing | 1091 | 1339 |
| LMArena Multi-Turn | 1058 | 1364 |
| Short-Story Creative Writing | — | 72.9% |
| LiveBench Language | — | 56.3% |
Frequently asked questions
Is Llama2 70b Steerlm Chat better than Qwen2.5-Max?
Qwen2.5-Max is the stronger model overall, scoring 40.1 to 31.2 on the Noometry Index.
Is Llama2 70b Steerlm Chat or Qwen2.5-Max better for coding?
Qwen2.5-Max scores higher on coding benchmarks: 41.2 versus 29.3 in the Noometry coding category.
How many benchmarks do Llama2 70b Steerlm Chat and Qwen2.5-Max share?
9 benchmarks have published results for both models. Llama2 70b Steerlm Chat has 9 scored results on Noometry and Qwen2.5-Max has 27.