Model comparison
Llama2 70b Steerlm Chat vs Qwen3 32B
Qwen3 32B is the stronger model overall, scoring 38.8 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 Qwen3 32B in 7 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3 32B leads 53.1 to 31.8.
Side by side
| Llama2 70b Steerlm Chat | Qwen3 32B | |
|---|---|---|
| Provider | NVIDIA | Alibaba (Qwen) |
| Noometry Index | 31.2 | 38.8 |
| Released | — | 2025-04 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.70 |
| Output $ / M tokens | — | $2.80 |
| Results tracked | 9 | 26 |
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Category by category
Coding Qwen3 32B leads
Llama2 70b Steerlm Chat: 29.3 (#295), Qwen3 32B: 37.3 (#184)
| Benchmark | Llama2 70b Steerlm Chat | Qwen3 32B |
|---|---|---|
| LMArena Coding | 1025 | 1358 |
| Aider Polyglot | — | 40% |
| SciCode | — | 35.4% |
Agentic & Tool Use Not comparable
Llama2 70b Steerlm Chat: —, Qwen3 32B: 32.3 (#58)
| Benchmark | Llama2 70b Steerlm Chat | Qwen3 32B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 48.7% |
Reasoning Too close to call
Llama2 70b Steerlm Chat: 19.1 (#245), Qwen3 32B: 19.6 (#233)
| Benchmark | Llama2 70b Steerlm Chat | Qwen3 32B |
|---|---|---|
| LMArena Hard Prompts | 1047 | 1335 |
| Kagi LLM Benchmark | — | 54.9% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 5% |
| DTBench | — | 67.5% |
| LMCA | — | 17.3% |
| Epoch Capabilities Index | — | 138.51 |
Math Qwen3 32B leads
Llama2 70b Steerlm Chat: 28.8 (#223), Qwen3 32B: 37.9 (#89)
| Benchmark | Llama2 70b Steerlm Chat | Qwen3 32B |
|---|---|---|
| LMArena Math | 1072 | 1399 |
| OTIS Mock AIME 2024-2025 | — | 66.9% |
Knowledge Not comparable
Llama2 70b Steerlm Chat: —, Qwen3 32B: 40.0 (#112)
| Benchmark | Llama2 70b Steerlm Chat | Qwen3 32B |
|---|---|---|
| GPQA Diamond | — | 65.7% |
| Vectara Hallucination Rate | — | 5.9% |
| LMArena Expert | — | 1362 |
Multilingual Qwen3 32B leads
Llama2 70b Steerlm Chat: 28.9 (#265), Qwen3 32B: 45.8 (#162)
| Benchmark | Llama2 70b Steerlm Chat | Qwen3 32B |
|---|---|---|
| LMArena Non-English | 1064 | 1317 |
| LMArena Chinese | — | 1357 |
| LMArena German | — | 1341 |
| LMArena Russian | — | 1311 |
Instruction Following Qwen3 32B leads
Llama2 70b Steerlm Chat: 54.5 (#274), Qwen3 32B: 69.1 (#174)
| Benchmark | Llama2 70b Steerlm Chat | Qwen3 32B |
|---|---|---|
| LMArena Instruction Following | 1061 | 1305 |
Long Context Qwen3 32B leads
Llama2 70b Steerlm Chat: 30.4 (#283), Qwen3 32B: 43.7 (#83)
| Benchmark | Llama2 70b Steerlm Chat | Qwen3 32B |
|---|---|---|
| LMArena Longer Query | 998 | 1327 |
| Fiction.LiveBench | — | 74.2% |
Writing & Preference Qwen3 32B leads
Llama2 70b Steerlm Chat: 31.8 (#278), Qwen3 32B: 53.1 (#158)
| Benchmark | Llama2 70b Steerlm Chat | Qwen3 32B |
|---|---|---|
| LMArena Text | 1098 | 1340 |
| LMArena Creative Writing | 1091 | 1297 |
| LMArena Multi-Turn | 1058 | 1331 |
Frequently asked questions
Is Llama2 70b Steerlm Chat better than Qwen3 32B?
Qwen3 32B is the stronger model overall, scoring 38.8 to 31.2 on the Noometry Index.
Is Llama2 70b Steerlm Chat or Qwen3 32B better for coding?
Qwen3 32B scores higher on coding benchmarks: 37.3 versus 29.3 in the Noometry coding category.
How many benchmarks do Llama2 70b Steerlm Chat and Qwen3 32B share?
9 benchmarks have published results for both models. Llama2 70b Steerlm Chat has 9 scored results on Noometry and Qwen3 32B has 26.