Model comparison
Llama2 70b Steerlm Chat vs Qwen2.5 72B Instruct
Llama2 70b Steerlm Chat and Qwen2.5 72B Instruct score almost the same on the Noometry Index (31.8 vs 31.9), so choose on price, context window or the category you care about most.
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 Qwen2.5 72B Instruct in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen2.5 72B Instruct leads 46.7 to 31.6.
Side by side
| Llama2 70b Steerlm Chat | Qwen2.5 72B Instruct | |
|---|---|---|
| Provider | NVIDIA | Alibaba (Qwen) |
| Noometry Index | 31.8 | 31.9 |
| Released | — | 2024-09 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $1.40 |
| Output $ / M tokens | — | $5.60 |
| Results tracked | 9 | 43 |
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Category by category
Coding Qwen2.5 72B Instruct leads
Llama2 70b Steerlm Chat: 29.9 (#300), Qwen2.5 72B Instruct: 33.2 (#260)
| Benchmark | Llama2 70b Steerlm Chat | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Coding | 1025 | 1292 |
| WeirdML | — | 16% |
| BigCodeBench Instruct | — | 45.8% |
| BigCodeBench Complete | — | 55.9% |
Agentic & Tool Use Not comparable
Llama2 70b Steerlm Chat: —, Qwen2.5 72B Instruct: 22.1 (#133)
| Benchmark | Llama2 70b Steerlm Chat | Qwen2.5 72B Instruct |
|---|---|---|
| TheAgentCompany | — | 5.7% |
| BALROG | — | 16.2% |
| METR Time Horizons | — | 35.8% |
Reasoning Qwen2.5 72B Instruct leads
Llama2 70b Steerlm Chat: 20.0 (#246), Qwen2.5 72B Instruct: 22.3 (#199)
| Benchmark | Llama2 70b Steerlm Chat | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1047 | 1271 |
| DTBench | — | 62.9% |
| LMCA | — | 13.4% |
| BIG-Bench Hard | — | 79.8% |
| Epoch Capabilities Index | — | 129 |
| ForecastBench | — | 57.5 |
| HellaSwag | — | 84.8% |
| PIQA | — | 82.6% |
| WinoGrande | — | 82.3% |
Math Llama2 70b Steerlm Chat leads
Llama2 70b Steerlm Chat: 31.3 (#226), Qwen2.5 72B Instruct: 19.3 (#287)
| Benchmark | Llama2 70b Steerlm Chat | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Math | 1072 | 1283 |
| OTIS Mock AIME 2024-2025 | — | 8.1% |
| Omni-MATH | — | 33% |
| MATH Level 5 | — | 63.2% |
Knowledge Not comparable
Llama2 70b Steerlm Chat: —, Qwen2.5 72B Instruct: 27.0 (#253)
| Benchmark | Llama2 70b Steerlm Chat | Qwen2.5 72B Instruct |
|---|---|---|
| GPQA Diamond | — | 49.1% |
| MMLU-Pro | — | 63.1% |
| Confabulations | — | 19.1% |
| GPQA (HELM) | — | 42.6% |
| LMArena Expert | — | 1245 |
| ARC (AI2) Challenge | — | 94.5% |
| MMLU | — | 85.3% |
| TriviaQA | — | 71.9% |
Multilingual Qwen2.5 72B Instruct leads
Llama2 70b Steerlm Chat: 28.8 (#270), Qwen2.5 72B Instruct: 41.0 (#213)
| Benchmark | Llama2 70b Steerlm Chat | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Non-English | 1063 | 1252 |
| LMArena Chinese | — | 1272 |
| LMArena French | — | 1280 |
| LMArena German | — | 1234 |
| LMArena Japanese | — | 1180 |
| LMArena Korean | — | 1188 |
| LMArena Russian | — | 1264 |
| LMArena Spanish | — | 1256 |
Instruction Following Qwen2.5 72B Instruct leads
Llama2 70b Steerlm Chat: 54.2 (#279), Qwen2.5 72B Instruct: 65.5 (#221)
| Benchmark | Llama2 70b Steerlm Chat | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Instruction Following | 1060 | 1254 |
| IFEval | — | 80.6% |
Long Context Qwen2.5 72B Instruct leads
Llama2 70b Steerlm Chat: 30.4 (#288), Qwen2.5 72B Instruct: 38.9 (#188)
| Benchmark | Llama2 70b Steerlm Chat | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Longer Query | 998 | 1282 |
Writing & Preference Qwen2.5 72B Instruct leads
Llama2 70b Steerlm Chat: 31.6 (#283), Qwen2.5 72B Instruct: 46.7 (#215)
| Benchmark | Llama2 70b Steerlm Chat | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Text | 1098 | 1269 |
| LMArena Creative Writing | 1091 | 1221 |
| LMArena Multi-Turn | 1058 | 1272 |
| WildBench | — | 80.2% |
Frequently asked questions
Is Llama2 70b Steerlm Chat better than Qwen2.5 72B Instruct?
Llama2 70b Steerlm Chat and Qwen2.5 72B Instruct score almost the same on the Noometry Index (31.8 vs 31.9), so choose on price, context window or the category you care about most.
Is Llama2 70b Steerlm Chat or Qwen2.5 72B Instruct better for coding?
Qwen2.5 72B Instruct scores higher on coding benchmarks: 33.2 versus 29.9 in the Noometry coding category.
How many benchmarks do Llama2 70b Steerlm Chat and Qwen2.5 72B Instruct share?
9 benchmarks have published results for both models. Llama2 70b Steerlm Chat has 9 scored results on Noometry and Qwen2.5 72B Instruct has 43.