Model comparison
Llama 3-8B vs Qwen Turbo
Qwen Turbo is the stronger model overall, scoring 26.8 to 25.3 on the Noometry Index.
Last verified . 3 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. Llama 3-8B scores higher in 0 categories and Qwen Turbo in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen Turbo leads 22.2 to 7.8.
- The biggest single-benchmark swing is MATH Level 5: 6.1% for Llama 3-8B and 56.2% for Qwen Turbo.
- Qwen Turbo is cheaper at $0.05 / $0.20 per million input/output tokens, against $0.14 / $0.14 for Llama 3-8B.
- Qwen Turbo accepts more context: 1M tokens versus 8K.
- Llama 3-8B has downloadable open weights; the other is API-only.
Side by side
| Llama 3-8B | Qwen Turbo | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 25.3 | 26.8 |
| Released | 2024-04-18 | 2024-11-01 |
| Weights | Open | Proprietary |
| Context window | 8K | 1M |
| Max output | 8K | 16K |
| Input $ / M tokens | $0.14 | $0.05 |
| Output $ / M tokens | $0.14 | $0.20 |
| Results tracked | 34 | 3 |
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Category by category
Coding Not comparable
Llama 3-8B: 30.5 (#285), Qwen Turbo: —
| Benchmark | Llama 3-8B | Qwen Turbo |
|---|---|---|
| BigCodeBench Instruct | 31.9% | — |
| LMArena Coding | 1152 | — |
| BigCodeBench Complete | 36.9% | — |
| HumanEval+ | 56.7% | — |
| MBPP+ | 54.8% | — |
Reasoning Not comparable
Llama 3-8B: 13.8 (#321), Qwen Turbo: —
| Benchmark | Llama 3-8B | Qwen Turbo |
|---|---|---|
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1133 | — |
| DTBench | 43.9% | — |
| Adversarial NLI | 57.3% | — |
| Epoch Capabilities Index | 116.33 | — |
| ForecastBench | 58.6 | — |
| WinoGrande | 75.7% | — |
Math Qwen Turbo leads
Llama 3-8B: 8.3 (#317), Qwen Turbo: 14.5 (#291)
| Benchmark | Llama 3-8B | Qwen Turbo |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.9% | 6.1% |
| MATH Level 5 | 6.1% | 56.2% |
| LMArena Math | 1151 | — |
Knowledge Qwen Turbo leads
Llama 3-8B: 7.8 (#303), Qwen Turbo: 22.2 (#267)
| Benchmark | Llama 3-8B | Qwen Turbo |
|---|---|---|
| GPQA Diamond | 26.1% | 41.8% |
| LMArena Expert | 1113 | — |
| ARC (AI2) Challenge | 82.8% | — |
| MMLU | 68.8% | — |
| OpenBookQA | 82.6% | — |
| TriviaQA | 67.7% | — |
Multilingual Not comparable
Llama 3-8B: 31.0 (#256), Qwen Turbo: —
| Benchmark | Llama 3-8B | Qwen Turbo |
|---|---|---|
| LMArena Non-English | 1098 | — |
| LMArena Chinese | 1076 | — |
| LMArena French | 1158 | — |
| LMArena German | 1104 | — |
| LMArena Japanese | 967 | — |
| LMArena Korean | 1003 | — |
| LMArena Russian | 1109 | — |
| LMArena Spanish | 1172 | — |
Instruction Following Not comparable
Llama 3-8B: 58.7 (#255), Qwen Turbo: —
| Benchmark | Llama 3-8B | Qwen Turbo |
|---|---|---|
| LMArena Instruction Following | 1127 | — |
Long Context Not comparable
Llama 3-8B: 34.2 (#246), Qwen Turbo: —
| Benchmark | Llama 3-8B | Qwen Turbo |
|---|---|---|
| LMArena Longer Query | 1128 | — |
Writing & Preference Not comparable
Llama 3-8B: 37.7 (#251), Qwen Turbo: —
| Benchmark | Llama 3-8B | Qwen Turbo |
|---|---|---|
| LMArena Text | 1166 | — |
| LMArena Creative Writing | 1150 | — |
| LMArena Multi-Turn | 1152 | — |
Frequently asked questions
Is Llama 3-8B better than Qwen Turbo?
Qwen Turbo is the stronger model overall, scoring 26.8 to 25.3 on the Noometry Index.
Which is cheaper, Llama 3-8B or Qwen Turbo?
Qwen Turbo is cheaper. It lists at $0.05 per million input tokens and $0.20 per million output tokens; Llama 3-8B lists at $0.14 and $0.14.
Which has the bigger context window?
Qwen Turbo does, with 1M tokens against 8K.
How many benchmarks do Llama 3-8B and Qwen Turbo share?
3 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and Qwen Turbo has 3.