Model comparison
Amazon Nova Pro vs Qwen2.5-Coder (1.5B)
Amazon Nova Pro has enough public results to be ranked (#278); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.
Last verified . 2 shared benchmarks.
Alibaba (Qwen)Summary
- They share 2 benchmarks with published results for both.
- Qwen2.5-Coder (1.5B) has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Pro | Qwen2.5-Coder (1.5B) | |
|---|---|---|
| Provider | Amazon | Alibaba (Qwen) |
| Noometry Index | 30.5 | — |
| Released | 2024-12-03 | 2024-09-18 |
| Weights | Proprietary | Open |
| Context window | 300K | — |
| Max output | 10K | — |
| Input $ / M tokens | $0.80 | — |
| Output $ / M tokens | $3.20 | — |
| Results tracked | 38 | 6 |
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Category by category
Coding Not comparable
Amazon Nova Pro: 34.6 (#224), Qwen2.5-Coder (1.5B): —
| Benchmark | Amazon Nova Pro | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LiveBench Coding | 38.1% | — |
| LMArena Coding | 1270 | — |
Agentic & Tool Use Not comparable
Amazon Nova Pro: 16.6 (#139), Qwen2.5-Coder (1.5B): —
| Benchmark | Amazon Nova Pro | Qwen2.5-Coder (1.5B) |
|---|---|---|
| Berkeley Function Calling Leaderboard | 25% | — |
| TheAgentCompany | 1.7% | — |
Reasoning Not comparable
Amazon Nova Pro: 19.2 (#240), Qwen2.5-Coder (1.5B): —
| Benchmark | Amazon Nova Pro | Qwen2.5-Coder (1.5B) |
|---|---|---|
| Epoch Capabilities Index | 123.75 | 112.93 |
| LiveBench Reasoning | 32.6% | — |
| LMArena Hard Prompts | 1246 | — |
| LiveBench Data Analysis | 48.3% | — |
| HellaSwag | — | 76.8% |
| LiveBench | 43.5% | — |
| WinoGrande | — | 72.9% |
Math Not comparable
Amazon Nova Pro: 26.4 (#240), Qwen2.5-Coder (1.5B): —
| Benchmark | Amazon Nova Pro | Qwen2.5-Coder (1.5B) |
|---|---|---|
| Omni-MATH | 24.2% | — |
| LiveBench Math | 38% | — |
| LMArena Math | 1252 | — |
| GSM8K | — | 86.7% |
Knowledge Not comparable
Amazon Nova Pro: 27.1 (#246), Qwen2.5-Coder (1.5B): —
| Benchmark | Amazon Nova Pro | Qwen2.5-Coder (1.5B) |
|---|---|---|
| MMLU | 82% | 68% |
| Humanity's Last Exam | 4.4% | — |
| MMLU-Pro | 67.3% | — |
| Confabulations | 30.1% | — |
| Vectara Hallucination Rate | 5.1% | — |
| GPQA (HELM) | 44.6% | — |
| LMArena Expert | 1211 | — |
| ARC (AI2) Challenge | — | 60.9% |
Multimodal Not comparable
Amazon Nova Pro: 24.5 (#121), Qwen2.5-Coder (1.5B): —
| Benchmark | Amazon Nova Pro | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Vision | 980 | — |
Multilingual Not comparable
Amazon Nova Pro: 39.9 (#218), Qwen2.5-Coder (1.5B): —
| Benchmark | Amazon Nova Pro | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Non-English | 1234 | — |
| LMArena Chinese | 1244 | — |
| LMArena French | 1270 | — |
| LMArena German | 1243 | — |
| LMArena Japanese | 1200 | — |
| LMArena Korean | 1203 | — |
| LMArena Russian | 1240 | — |
| LMArena Spanish | 1182 | — |
Instruction Following Not comparable
Amazon Nova Pro: 65.1 (#221), Qwen2.5-Coder (1.5B): —
| Benchmark | Amazon Nova Pro | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LiveBench Instruction Following | 67.1% | — |
| IFEval | 81.5% | — |
| LMArena Instruction Following | 1235 | — |
Long Context Not comparable
Amazon Nova Pro: 38.1 (#199), Qwen2.5-Coder (1.5B): —
| Benchmark | Amazon Nova Pro | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Longer Query | 1255 | — |
Writing & Preference Not comparable
Amazon Nova Pro: 44.1 (#221), Qwen2.5-Coder (1.5B): —
| Benchmark | Amazon Nova Pro | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Text | 1259 | — |
| LMArena Creative Writing | 1212 | — |
| Short-Story Creative Writing | 60.5% | — |
| WildBench | 77.7% | — |
| LMArena Multi-Turn | 1245 | — |
| LiveBench Language | 37% | — |
Frequently asked questions
Is Amazon Nova Pro better than Qwen2.5-Coder (1.5B)?
Amazon Nova Pro has enough public results to be ranked (#278); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.
How many benchmarks do Amazon Nova Pro and Qwen2.5-Coder (1.5B) share?
2 benchmarks have published results for both models. Amazon Nova Pro has 38 scored results on Noometry and Qwen2.5-Coder (1.5B) has 6.