Model comparison
Llama2 70b Steerlm Chat vs Qwen Max
Qwen Max is the stronger model overall, scoring 34.4 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 1 category and Qwen Max in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen Max leads 48.0 to 31.8.
- Llama2 70b Steerlm Chat has downloadable open weights; the other is API-only.
Side by side
| Llama2 70b Steerlm Chat | Qwen Max | |
|---|---|---|
| Provider | NVIDIA | Alibaba (Qwen) |
| Noometry Index | 31.2 | 34.4 |
| Released | — | 2024-04-03 |
| Weights | Open | Proprietary |
| Context window | — | 33K |
| Max output | — | 8K |
| Input $ / M tokens | — | $1.60 |
| Output $ / M tokens | — | $6.40 |
| Results tracked | 9 | 23 |
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Category by category
Coding Qwen Max leads
Llama2 70b Steerlm Chat: 29.3 (#295), Qwen Max: 30.3 (#288)
| Benchmark | Llama2 70b Steerlm Chat | Qwen Max |
|---|---|---|
| LMArena Coding | 1025 | 1288 |
| Aider Polyglot | — | 21.8% |
Reasoning Qwen Max leads
Llama2 70b Steerlm Chat: 19.1 (#245), Qwen Max: 24.1 (#154)
| Benchmark | Llama2 70b Steerlm Chat | Qwen Max |
|---|---|---|
| LMArena Hard Prompts | 1047 | 1270 |
Math Llama2 70b Steerlm Chat leads
Llama2 70b Steerlm Chat: 28.8 (#223), Qwen Max: 21.0 (#272)
| Benchmark | Llama2 70b Steerlm Chat | Qwen Max |
|---|---|---|
| LMArena Math | 1072 | 1275 |
| OTIS Mock AIME 2024-2025 | — | 16.1% |
| MATH Level 5 | — | 67.2% |
| FrontierMath (Feb 2025 set) | — | 1% |
Knowledge Not comparable
Llama2 70b Steerlm Chat: —, Qwen Max: 30.3 (#222)
| Benchmark | Llama2 70b Steerlm Chat | Qwen Max |
|---|---|---|
| GPQA Diamond | — | 56.1% |
| LMArena Expert | — | 1248 |
Multilingual Qwen Max leads
Llama2 70b Steerlm Chat: 28.9 (#265), Qwen Max: 42.0 (#197)
| Benchmark | Llama2 70b Steerlm Chat | Qwen Max |
|---|---|---|
| LMArena Non-English | 1064 | 1263 |
| LMArena Chinese | — | 1254 |
| LMArena French | — | 1329 |
| LMArena German | — | 1254 |
| LMArena Japanese | — | 1205 |
| LMArena Korean | — | 1141 |
| LMArena Russian | — | 1274 |
| LMArena Spanish | — | 1290 |
Instruction Following Qwen Max leads
Llama2 70b Steerlm Chat: 54.5 (#274), Qwen Max: 66.7 (#203)
| Benchmark | Llama2 70b Steerlm Chat | Qwen Max |
|---|---|---|
| LMArena Instruction Following | 1061 | 1262 |
Long Context Qwen Max leads
Llama2 70b Steerlm Chat: 30.4 (#283), Qwen Max: 39.4 (#175)
| Benchmark | Llama2 70b Steerlm Chat | Qwen Max |
|---|---|---|
| LMArena Longer Query | 998 | 1289 |
| Fiction.LiveBench | — | 66.7% |
Writing & Preference Qwen Max leads
Llama2 70b Steerlm Chat: 31.8 (#278), Qwen Max: 48.0 (#200)
| Benchmark | Llama2 70b Steerlm Chat | Qwen Max |
|---|---|---|
| LMArena Text | 1098 | 1282 |
| LMArena Creative Writing | 1091 | 1248 |
| LMArena Multi-Turn | 1058 | 1277 |
Frequently asked questions
Is Llama2 70b Steerlm Chat better than Qwen Max?
Qwen Max is the stronger model overall, scoring 34.4 to 31.2 on the Noometry Index.
Is Llama2 70b Steerlm Chat or Qwen Max better for coding?
Qwen Max scores higher on coding benchmarks: 30.3 versus 29.3 in the Noometry coding category.
How many benchmarks do Llama2 70b Steerlm Chat and Qwen Max share?
9 benchmarks have published results for both models. Llama2 70b Steerlm Chat has 9 scored results on Noometry and Qwen Max has 23.