Model comparison
Amazon Nova Pro vs Qwen2.5 7B Instruct
Amazon Nova Pro is the stronger model overall, scoring 31.0 to 29.0 on the Noometry Index. Qwen2.5 7B Instruct costs 4.6× less per token, which makes it the better buy when Amazon Nova Pro's lead doesn't matter for your workload.
Last verified . 7 shared benchmarks.
Alibaba (Qwen)Summary
- They share 7 benchmarks with published results for both. Amazon Nova Pro scores higher in 4 categories and Qwen2.5 7B Instruct in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Amazon Nova Pro leads 28.5 to 12.6.
- The biggest single-benchmark swing is MMLU-Pro: 67.3% for Amazon Nova Pro and 53.9% for Qwen2.5 7B Instruct.
- Qwen2.5 7B Instruct is cheaper at $0.17 / $0.70 per million input/output tokens, against $0.80 / $3.20 for Amazon Nova Pro.
- Amazon Nova Pro accepts more context: 300K tokens versus 131K.
- Qwen2.5 7B Instruct has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Pro | Qwen2.5 7B Instruct | |
|---|---|---|
| Provider | Amazon | Alibaba (Qwen) |
| Noometry Index | 31.0 | 29.0 |
| Released | 2024-12-03 | 2024-09 |
| Weights | Proprietary | Open |
| Context window | 300K | 131K |
| Max output | 10K | 8K |
| Input $ / M tokens | $0.80 | $0.17 |
| Output $ / M tokens | $3.20 | $0.70 |
| Results tracked | 38 | 15 |
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Category by category
Coding Qwen2.5 7B Instruct leads
Amazon Nova Pro: 35.1 (#229), Qwen2.5 7B Instruct: 36.5 (#208)
| Benchmark | Amazon Nova Pro | Qwen2.5 7B Instruct |
|---|---|---|
| BigCodeBench Instruct | — | 37.6% |
| LiveBench Coding | 38.1% | — |
| LMArena Coding | 1270 | — |
| BigCodeBench Complete | — | 46.1% |
Agentic & Tool Use Qwen2.5 7B Instruct leads
Amazon Nova Pro: 16.7 (#147), Qwen2.5 7B Instruct: 23.8 (#124)
| Benchmark | Amazon Nova Pro | Qwen2.5 7B Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | 25% | — |
| TheAgentCompany | 1.7% | — |
| BALROG | — | 7.8% |
Reasoning Amazon Nova Pro leads
Amazon Nova Pro: 20.0 (#243), Qwen2.5 7B Instruct: 14.8 (#322)
| Benchmark | Amazon Nova Pro | Qwen2.5 7B Instruct |
|---|---|---|
| Epoch Capabilities Index | 123.8 | 118.51 |
| Chess Puzzles | — | 0% |
| LiveBench Reasoning | 32.6% | — |
| LMArena Hard Prompts | 1246 | — |
| DTBench | — | 47.7% |
| LiveBench Data Analysis | 48.3% | — |
| LMCA | — | 6.4% |
| LiveBench | 43.5% | — |
Math Amazon Nova Pro leads
Amazon Nova Pro: 28.5 (#243), Qwen2.5 7B Instruct: 12.6 (#306)
| Benchmark | Amazon Nova Pro | Qwen2.5 7B Instruct |
|---|---|---|
| Omni-MATH | 24.2% | 29.4% |
| OTIS Mock AIME 2024-2025 | — | 2.5% |
| LiveBench Math | 38% | — |
| LMArena Math | 1252 | — |
Knowledge Amazon Nova Pro leads
Amazon Nova Pro: 27.4 (#250), Qwen2.5 7B Instruct: 17.0 (#286)
| Benchmark | Amazon Nova Pro | Qwen2.5 7B Instruct |
|---|---|---|
| MMLU-Pro | 67.3% | 53.9% |
| GPQA (HELM) | 44.6% | 34.1% |
| MMLU | 82% | 72.9% |
| GPQA Diamond | — | 35.5% |
| Humanity's Last Exam | 4.4% | — |
| Confabulations | 30.1% | — |
| Vectara Hallucination Rate | 5.1% | — |
| LMArena Expert | 1211 | — |
Multimodal Not comparable
Amazon Nova Pro: 25.0 (#126), Qwen2.5 7B Instruct: —
| Benchmark | Amazon Nova Pro | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Vision | 980 | — |
Multilingual Not comparable
Amazon Nova Pro: 39.7 (#223), Qwen2.5 7B Instruct: —
| Benchmark | Amazon Nova Pro | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Non-English | 1234 | — |
| LMArena Chinese | 1244 | — |
| LMArena French | 1271 | — |
| LMArena German | 1243 | — |
| LMArena Japanese | 1200 | — |
| LMArena Korean | 1203 | — |
| LMArena Russian | 1240 | — |
| LMArena Spanish | 1182 | — |
Instruction Following Amazon Nova Pro leads
Amazon Nova Pro: 64.9 (#226), Qwen2.5 7B Instruct: 63.2 (#231)
| Benchmark | Amazon Nova Pro | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | 81.5% | 74.1% |
| LiveBench Instruction Following | 67.1% | — |
| LMArena Instruction Following | 1235 | — |
Long Context Not comparable
Amazon Nova Pro: 38.1 (#205), Qwen2.5 7B Instruct: —
| Benchmark | Amazon Nova Pro | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Longer Query | 1255 | — |
Writing & Preference Qwen2.5 7B Instruct leads
Amazon Nova Pro: 43.9 (#226), Qwen2.5 7B Instruct: 48.8 (#195)
| Benchmark | Amazon Nova Pro | Qwen2.5 7B Instruct |
|---|---|---|
| WildBench | 77.7% | 73.1% |
| LMArena Text | 1259 | — |
| LMArena Creative Writing | 1212 | — |
| Short-Story Creative Writing | 60.5% | — |
| LMArena Multi-Turn | 1246 | — |
| LiveBench Language | 37% | — |
Frequently asked questions
Is Amazon Nova Pro better than Qwen2.5 7B Instruct?
Amazon Nova Pro is the stronger model overall, scoring 31.0 to 29.0 on the Noometry Index. Qwen2.5 7B Instruct costs 4.6× less per token, which makes it the better buy when Amazon Nova Pro's lead doesn't matter for your workload.
Which is cheaper, Amazon Nova Pro or Qwen2.5 7B Instruct?
Qwen2.5 7B Instruct is cheaper. It lists at $0.17 per million input tokens and $0.70 per million output tokens; Amazon Nova Pro lists at $0.80 and $3.20.
Is Amazon Nova Pro or Qwen2.5 7B Instruct better for coding?
Qwen2.5 7B Instruct scores higher on coding benchmarks: 36.5 versus 35.1 in the Noometry coding category.
Which has the bigger context window?
Amazon Nova Pro does, with 300K tokens against 131K.
How many benchmarks do Amazon Nova Pro and Qwen2.5 7B Instruct share?
7 benchmarks have published results for both models. Amazon Nova Pro has 38 scored results on Noometry and Qwen2.5 7B Instruct has 15.