Model comparison
Llama2 70b Steerlm Chat vs Qwen2.5 32B Instruct
Llama2 70b Steerlm Chat is the stronger model overall, scoring 31.8 to 30.1 on the Noometry Index.
Last verified . 0 shared benchmarks.
NVIDIA
Alibaba (Qwen)Summary
- The widest gap is in math, where Llama2 70b Steerlm Chat leads 31.3 to 16.2.
Side by side
| Llama2 70b Steerlm Chat | Qwen2.5 32B Instruct | |
|---|---|---|
| Provider | NVIDIA | Alibaba (Qwen) |
| Noometry Index | 31.8 | 30.1 |
| Released | — | 2024-09 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.70 |
| Output $ / M tokens | — | $2.80 |
| Results tracked | 9 | 7 |
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Category by category
Coding Qwen2.5 32B Instruct leads
Llama2 70b Steerlm Chat: 29.9 (#300), Qwen2.5 32B Instruct: 38.7 (#169)
| Benchmark | Llama2 70b Steerlm Chat | Qwen2.5 32B Instruct |
|---|---|---|
| BigCodeBench Instruct | — | 45% |
| LMArena Coding | 1025 | — |
| BigCodeBench Complete | — | 52.3% |
Reasoning Too close to call
Llama2 70b Steerlm Chat: 20.0 (#246), Qwen2.5 32B Instruct: 19.2 (#266)
| Benchmark | Llama2 70b Steerlm Chat | Qwen2.5 32B Instruct |
|---|---|---|
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1047 | — |
| Epoch Capabilities Index | — | 128.52 |
Math Llama2 70b Steerlm Chat leads
Llama2 70b Steerlm Chat: 31.3 (#226), Qwen2.5 32B Instruct: 16.2 (#296)
| Benchmark | Llama2 70b Steerlm Chat | Qwen2.5 32B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 7.4% |
| LMArena Math | 1072 | — |
| MATH Level 5 | — | 56.1% |
Knowledge Not comparable
Llama2 70b Steerlm Chat: —, Qwen2.5 32B Instruct: 24.9 (#266)
| Benchmark | Llama2 70b Steerlm Chat | Qwen2.5 32B Instruct |
|---|---|---|
| GPQA Diamond | — | 46.1% |
Multilingual Not comparable
Llama2 70b Steerlm Chat: 28.8 (#270), Qwen2.5 32B Instruct: —
| Benchmark | Llama2 70b Steerlm Chat | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Non-English | 1063 | — |
Instruction Following Not comparable
Llama2 70b Steerlm Chat: 54.2 (#279), Qwen2.5 32B Instruct: —
| Benchmark | Llama2 70b Steerlm Chat | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Instruction Following | 1060 | — |
Long Context Not comparable
Llama2 70b Steerlm Chat: 30.4 (#288), Qwen2.5 32B Instruct: —
| Benchmark | Llama2 70b Steerlm Chat | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Longer Query | 998 | — |
Writing & Preference Not comparable
Llama2 70b Steerlm Chat: 31.6 (#283), Qwen2.5 32B Instruct: —
| Benchmark | Llama2 70b Steerlm Chat | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Text | 1098 | — |
| LMArena Creative Writing | 1091 | — |
| LMArena Multi-Turn | 1058 | — |
Frequently asked questions
Is Llama2 70b Steerlm Chat better than Qwen2.5 32B Instruct?
Llama2 70b Steerlm Chat is the stronger model overall, scoring 31.8 to 30.1 on the Noometry Index.
Is Llama2 70b Steerlm Chat or Qwen2.5 32B Instruct better for coding?
Qwen2.5 32B Instruct scores higher on coding benchmarks: 38.7 versus 29.9 in the Noometry coding category.
How many benchmarks do Llama2 70b Steerlm Chat and Qwen2.5 32B Instruct share?
0 benchmarks have published results for both models. Llama2 70b Steerlm Chat has 9 scored results on Noometry and Qwen2.5 32B Instruct has 7.