Model comparison
Llama 3-8B vs QwQ-32B
QwQ-32B is the stronger model overall, scoring 39.8 to 25.5 on the Noometry Index.
Last verified . 24 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 24 benchmarks with published results for both. Llama 3-8B scores higher in 0 categories and QwQ-32B in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where QwQ-32B leads 37.2 to 7.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 1.9% for Llama 3-8B and 59.2% for QwQ-32B.
Side by side
| Llama 3-8B | QwQ-32B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 25.5 | 39.8 |
| Released | 2024-04-18 | 2024-11-28 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 34 | 36 |
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Category by category
Coding QwQ-32B leads
Llama 3-8B: 31.0 (#289), QwQ-32B: 35.4 (#226)
| Benchmark | Llama 3-8B | QwQ-32B |
|---|---|---|
| BigCodeBench Instruct | 31.9% | 44.6% |
| LMArena Coding | 1152 | 1333 |
| BigCodeBench Complete | 36.9% | 54.4% |
| Aider Polyglot | — | 20.9% |
| LiveBench Coding | — | 72.2% |
| HumanEval+ | 56.7% | — |
| MBPP+ | 54.8% | — |
Reasoning QwQ-32B leads
Llama 3-8B: 14.3 (#326), QwQ-32B: 23.7 (#174)
| Benchmark | Llama 3-8B | QwQ-32B |
|---|---|---|
| Chess Puzzles | 0% | 5% |
| LMArena Hard Prompts | 1133 | 1325 |
| Epoch Capabilities Index | 116.45 | 137.6 |
| ForecastBench | 58.6 | 58.3 |
| LiveBench Reasoning | — | 83.5% |
| DTBench | 43.9% | — |
| LiveBench Data Analysis | — | 65% |
| Adversarial NLI | 57.3% | — |
| LiveBench | — | 72% |
| WinoGrande | 75.7% | — |
Math QwQ-32B leads
Llama 3-8B: 8.8 (#323), QwQ-32B: 38.0 (#143)
| Benchmark | Llama 3-8B | QwQ-32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.9% | 59.2% |
| LMArena Math | 1151 | 1359 |
| LiveBench Math | — | 77.8% |
| MATH Level 5 | 6.1% | — |
Knowledge QwQ-32B leads
Llama 3-8B: 7.8 (#308), QwQ-32B: 37.2 (#158)
| Benchmark | Llama 3-8B | QwQ-32B |
|---|---|---|
| GPQA Diamond | 26.1% | 65.3% |
| LMArena Expert | 1113 | 1324 |
| Confabulations | — | 15.6% |
| ARC (AI2) Challenge | 82.8% | — |
| MMLU | 68.8% | — |
| OpenBookQA | 82.6% | — |
| TriviaQA | 67.7% | — |
Multilingual QwQ-32B leads
Llama 3-8B: 30.8 (#261), QwQ-32B: 44.8 (#176)
| Benchmark | Llama 3-8B | QwQ-32B |
|---|---|---|
| LMArena Non-English | 1098 | 1305 |
| LMArena Chinese | 1076 | 1378 |
| LMArena French | 1159 | 1336 |
| LMArena German | 1104 | 1313 |
| LMArena Japanese | 967 | 1262 |
| LMArena Korean | 1004 | 1279 |
| LMArena Russian | 1109 | 1297 |
| LMArena Spanish | 1173 | 1354 |
Instruction Following QwQ-32B leads
Llama 3-8B: 58.4 (#260), QwQ-32B: 72.6 (#137)
| Benchmark | Llama 3-8B | QwQ-32B |
|---|---|---|
| LMArena Instruction Following | 1127 | 1297 |
| LiveBench Instruction Following | — | 81.8% |
Long Context QwQ-32B leads
Llama 3-8B: 34.2 (#251), QwQ-32B: 49.0 (#11)
| Benchmark | Llama 3-8B | QwQ-32B |
|---|---|---|
| LMArena Longer Query | 1128 | 1308 |
| Fiction.LiveBench | — | 83.3% |
Writing & Preference QwQ-32B leads
Llama 3-8B: 37.5 (#256), QwQ-32B: 50.6 (#180)
| Benchmark | Llama 3-8B | QwQ-32B |
|---|---|---|
| LMArena Text | 1166 | 1329 |
| LMArena Creative Writing | 1150 | 1288 |
| LMArena Multi-Turn | 1152 | 1314 |
| Short-Story Creative Writing | — | 80.2% |
| EQ-Bench Creative Writing | — | 1257 |
| LiveBench Language | — | 51.4% |
Frequently asked questions
Is Llama 3-8B better than QwQ-32B?
QwQ-32B is the stronger model overall, scoring 39.8 to 25.5 on the Noometry Index.
Is Llama 3-8B or QwQ-32B better for coding?
QwQ-32B scores higher on coding benchmarks: 35.4 versus 31.0 in the Noometry coding category.
How many benchmarks do Llama 3-8B and QwQ-32B share?
24 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and QwQ-32B has 36.