Model comparison
Claude 3 Sonnet vs Qwen-14B
Qwen-14B is the stronger model overall, scoring 31.4 to 29.0 on the Noometry Index.
Last verified . 12 shared benchmarks.
Alibaba (Qwen)Summary
- They share 12 benchmarks with published results for both. Claude 3 Sonnet scores higher in 5 categories and Qwen-14B in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen-14B leads 31.2 to 10.7.
- Qwen-14B has downloadable open weights; the other is API-only.
Side by side
| Claude 3 Sonnet | Qwen-14B | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 29.0 | 31.4 |
| Released | 2024-02-29 | 2023-09-24 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 30 | 18 |
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Category by category
Coding Qwen-14B leads
Claude 3 Sonnet: 29.6 (#302), Qwen-14B: 31.2 (#288)
| Benchmark | Claude 3 Sonnet | Qwen-14B |
|---|---|---|
| LMArena Coding | 1223 | 1071 |
| WeirdML | 10.2% | — |
| BigCodeBench Instruct | 42.7% | — |
| BigCodeBench Complete | 53.8% | — |
| HumanEval+ | 64% | — |
| MBPP+ | 69.3% | — |
Reasoning Too close to call
Claude 3 Sonnet: 20.5 (#237), Qwen-14B: 19.6 (#257)
| Benchmark | Claude 3 Sonnet | Qwen-14B |
|---|---|---|
| LMArena Hard Prompts | 1197 | 1027 |
| Epoch Capabilities Index | 120.7 | 113.03 |
| DTBench | 53.6% | — |
| BIG-Bench Hard | — | 55% |
| LAMBADA | — | 71.1% |
| PIQA | — | 79.9% |
| WinoGrande | 75.1% | — |
Math Qwen-14B leads
Claude 3 Sonnet: 10.7 (#310), Qwen-14B: 31.2 (#227)
| Benchmark | Claude 3 Sonnet | Qwen-14B |
|---|---|---|
| LMArena Math | 1213 | 1068 |
| OTIS Mock AIME 2024-2025 | 2.5% | — |
| MATH Level 5 | 18.2% | — |
| GSM8K | — | 61.3% |
Knowledge Not comparable
Claude 3 Sonnet: 21.1 (#276), Qwen-14B: —
| Benchmark | Claude 3 Sonnet | Qwen-14B |
|---|---|---|
| MMLU | 75.9% | 66.3% |
| GPQA Diamond | 40.6% | — |
| LMArena Expert | 1173 | — |
| ARC (AI2) Challenge | — | 84.4% |
| BoolQ | — | 86.2% |
Multimodal Not comparable
Claude 3 Sonnet: 25.2 (#125), Qwen-14B: —
| Benchmark | Claude 3 Sonnet | Qwen-14B |
|---|---|---|
| LMArena Vision | 984 | — |
Multilingual Claude 3 Sonnet leads
Claude 3 Sonnet: 37.8 (#234), Qwen-14B: 27.5 (#275)
| Benchmark | Claude 3 Sonnet | Qwen-14B |
|---|---|---|
| LMArena Non-English | 1205 | 1041 |
| LMArena Chinese | 1189 | 1077 |
| LMArena French | 1229 | — |
| LMArena German | 1204 | — |
| LMArena Japanese | 1131 | — |
| LMArena Korean | 1128 | — |
| LMArena Russian | 1227 | — |
| LMArena Spanish | 1204 | — |
Instruction Following Claude 3 Sonnet leads
Claude 3 Sonnet: 62.8 (#235), Qwen-14B: 52.4 (#289)
| Benchmark | Claude 3 Sonnet | Qwen-14B |
|---|---|---|
| LMArena Instruction Following | 1199 | 1031 |
Long Context Claude 3 Sonnet leads
Claude 3 Sonnet: 36.7 (#228), Qwen-14B: 31.3 (#280)
| Benchmark | Claude 3 Sonnet | Qwen-14B |
|---|---|---|
| LMArena Longer Query | 1211 | 1028 |
Writing & Preference Claude 3 Sonnet leads
Claude 3 Sonnet: 42.1 (#238), Qwen-14B: 27.6 (#299)
| Benchmark | Claude 3 Sonnet | Qwen-14B |
|---|---|---|
| LMArena Text | 1218 | 1051 |
| LMArena Creative Writing | 1186 | 1028 |
| LMArena Multi-Turn | 1227 | 1022 |
Frequently asked questions
Is Claude 3 Sonnet better than Qwen-14B?
Qwen-14B is the stronger model overall, scoring 31.4 to 29.0 on the Noometry Index.
Is Claude 3 Sonnet or Qwen-14B better for coding?
Qwen-14B scores higher on coding benchmarks: 31.2 versus 29.6 in the Noometry coding category.
How many benchmarks do Claude 3 Sonnet and Qwen-14B share?
12 benchmarks have published results for both models. Claude 3 Sonnet has 30 scored results on Noometry and Qwen-14B has 18.