Model comparison
Llama2 70b Steerlm Chat vs QwQ-32B
QwQ-32B is the stronger model overall, scoring 39.8 to 31.8 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 QwQ-32B in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where QwQ-32B leads 50.6 to 31.6.
Side by side
| Llama2 70b Steerlm Chat | QwQ-32B | |
|---|---|---|
| Provider | NVIDIA | Alibaba (Qwen) |
| Noometry Index | 31.8 | 39.8 |
| Released | — | 2024-11-28 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 9 | 36 |
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Category by category
Coding QwQ-32B leads
Llama2 70b Steerlm Chat: 29.9 (#300), QwQ-32B: 35.4 (#226)
| Benchmark | Llama2 70b Steerlm Chat | QwQ-32B |
|---|---|---|
| LMArena Coding | 1025 | 1333 |
| Aider Polyglot | — | 20.9% |
| BigCodeBench Instruct | — | 44.6% |
| LiveBench Coding | — | 72.2% |
| BigCodeBench Complete | — | 54.4% |
Reasoning QwQ-32B leads
Llama2 70b Steerlm Chat: 20.0 (#246), QwQ-32B: 23.7 (#174)
| Benchmark | Llama2 70b Steerlm Chat | QwQ-32B |
|---|---|---|
| LMArena Hard Prompts | 1047 | 1325 |
| Chess Puzzles | — | 5% |
| LiveBench Reasoning | — | 83.5% |
| LiveBench Data Analysis | — | 65% |
| Epoch Capabilities Index | — | 137.6 |
| ForecastBench | — | 58.3 |
| LiveBench | — | 72% |
Math QwQ-32B leads
Llama2 70b Steerlm Chat: 31.3 (#226), QwQ-32B: 38.0 (#143)
| Benchmark | Llama2 70b Steerlm Chat | QwQ-32B |
|---|---|---|
| LMArena Math | 1072 | 1359 |
| OTIS Mock AIME 2024-2025 | — | 59.2% |
| LiveBench Math | — | 77.8% |
Knowledge Not comparable
Llama2 70b Steerlm Chat: —, QwQ-32B: 37.2 (#158)
| Benchmark | Llama2 70b Steerlm Chat | QwQ-32B |
|---|---|---|
| GPQA Diamond | — | 65.3% |
| Confabulations | — | 15.6% |
| LMArena Expert | — | 1324 |
Multilingual QwQ-32B leads
Llama2 70b Steerlm Chat: 28.8 (#270), QwQ-32B: 44.8 (#176)
| Benchmark | Llama2 70b Steerlm Chat | QwQ-32B |
|---|---|---|
| LMArena Non-English | 1063 | 1305 |
| LMArena Chinese | — | 1378 |
| LMArena French | — | 1336 |
| LMArena German | — | 1313 |
| LMArena Japanese | — | 1262 |
| LMArena Korean | — | 1279 |
| LMArena Russian | — | 1297 |
| LMArena Spanish | — | 1354 |
Instruction Following QwQ-32B leads
Llama2 70b Steerlm Chat: 54.2 (#279), QwQ-32B: 72.6 (#137)
| Benchmark | Llama2 70b Steerlm Chat | QwQ-32B |
|---|---|---|
| LMArena Instruction Following | 1060 | 1297 |
| LiveBench Instruction Following | — | 81.8% |
Long Context QwQ-32B leads
Llama2 70b Steerlm Chat: 30.4 (#288), QwQ-32B: 49.0 (#11)
| Benchmark | Llama2 70b Steerlm Chat | QwQ-32B |
|---|---|---|
| LMArena Longer Query | 998 | 1308 |
| Fiction.LiveBench | — | 83.3% |
Writing & Preference QwQ-32B leads
Llama2 70b Steerlm Chat: 31.6 (#283), QwQ-32B: 50.6 (#180)
| Benchmark | Llama2 70b Steerlm Chat | QwQ-32B |
|---|---|---|
| LMArena Text | 1098 | 1329 |
| LMArena Creative Writing | 1091 | 1288 |
| LMArena Multi-Turn | 1058 | 1314 |
| Short-Story Creative Writing | — | 80.2% |
| EQ-Bench Creative Writing | — | 1257 |
| LiveBench Language | — | 51.4% |
Frequently asked questions
Is Llama2 70b Steerlm Chat better than QwQ-32B?
QwQ-32B is the stronger model overall, scoring 39.8 to 31.8 on the Noometry Index.
Is Llama2 70b Steerlm Chat or QwQ-32B better for coding?
QwQ-32B scores higher on coding benchmarks: 35.4 versus 29.9 in the Noometry coding category.
How many benchmarks do Llama2 70b Steerlm Chat and QwQ-32B share?
9 benchmarks have published results for both models. Llama2 70b Steerlm Chat has 9 scored results on Noometry and QwQ-32B has 36.