Model comparison
Amazon Nova Pro vs Qwen2.5 72B Instruct
Amazon Nova Pro and Qwen2.5 72B Instruct score almost the same on the Noometry Index (31.0 vs 31.9), so choose on price, context window or the category you care about most.
Last verified . 26 shared benchmarks.
Alibaba (Qwen)Summary
- They share 26 benchmarks with published results for both. Amazon Nova Pro scores higher in 3 categories and Qwen2.5 72B Instruct in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where Amazon Nova Pro leads 28.5 to 19.3.
- The biggest single-benchmark swing is Confabulations: 30.1% for Amazon Nova Pro and 19.1% for Qwen2.5 72B Instruct.
- Amazon Nova Pro is cheaper at $0.80 / $3.20 per million input/output tokens, against $1.40 / $5.60 for Qwen2.5 72B Instruct.
- Amazon Nova Pro accepts more context: 300K tokens versus 131K.
- Qwen2.5 72B Instruct has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Pro | Qwen2.5 72B Instruct | |
|---|---|---|
| Provider | Amazon | Alibaba (Qwen) |
| Noometry Index | 31.0 | 31.9 |
| Released | 2024-12-03 | 2024-09 |
| Weights | Proprietary | Open |
| Context window | 300K | 131K |
| Max output | 10K | 8K |
| Input $ / M tokens | $0.80 | $1.40 |
| Output $ / M tokens | $3.20 | $5.60 |
| Results tracked | 38 | 43 |
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Category by category
Coding Amazon Nova Pro leads
Amazon Nova Pro: 35.1 (#229), Qwen2.5 72B Instruct: 33.2 (#260)
| Benchmark | Amazon Nova Pro | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Coding | 1270 | 1292 |
| WeirdML | — | 16% |
| BigCodeBench Instruct | — | 45.8% |
| LiveBench Coding | 38.1% | — |
| BigCodeBench Complete | — | 55.9% |
Agentic & Tool Use Qwen2.5 72B Instruct leads
Amazon Nova Pro: 16.7 (#147), Qwen2.5 72B Instruct: 22.1 (#133)
| Benchmark | Amazon Nova Pro | Qwen2.5 72B Instruct |
|---|---|---|
| TheAgentCompany | 1.7% | 5.7% |
| Berkeley Function Calling Leaderboard | 25% | — |
| BALROG | — | 16.2% |
| METR Time Horizons | — | 35.8% |
Reasoning Qwen2.5 72B Instruct leads
Amazon Nova Pro: 20.0 (#243), Qwen2.5 72B Instruct: 22.3 (#199)
| Benchmark | Amazon Nova Pro | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1246 | 1271 |
| Epoch Capabilities Index | 123.8 | 129 |
| LiveBench Reasoning | 32.6% | — |
| DTBench | — | 62.9% |
| LiveBench Data Analysis | 48.3% | — |
| LMCA | — | 13.4% |
| BIG-Bench Hard | — | 79.8% |
| ForecastBench | — | 57.5 |
| HellaSwag | — | 84.8% |
| LiveBench | 43.5% | — |
| PIQA | — | 82.6% |
| WinoGrande | — | 82.3% |
Math Amazon Nova Pro leads
Amazon Nova Pro: 28.5 (#243), Qwen2.5 72B Instruct: 19.3 (#287)
| Benchmark | Amazon Nova Pro | Qwen2.5 72B Instruct |
|---|---|---|
| Omni-MATH | 24.2% | 33% |
| LMArena Math | 1252 | 1283 |
| OTIS Mock AIME 2024-2025 | — | 8.1% |
| LiveBench Math | 38% | — |
| MATH Level 5 | — | 63.2% |
Knowledge Too close to call
Amazon Nova Pro: 27.4 (#250), Qwen2.5 72B Instruct: 27.0 (#253)
| Benchmark | Amazon Nova Pro | Qwen2.5 72B Instruct |
|---|---|---|
| MMLU-Pro | 67.3% | 63.1% |
| Confabulations | 30.1% | 19.1% |
| GPQA (HELM) | 44.6% | 42.6% |
| LMArena Expert | 1211 | 1245 |
| MMLU | 82% | 85.3% |
| GPQA Diamond | — | 49.1% |
| Humanity's Last Exam | 4.4% | — |
| Vectara Hallucination Rate | 5.1% | — |
| ARC (AI2) Challenge | — | 94.5% |
| TriviaQA | — | 71.9% |
Multimodal Not comparable
Amazon Nova Pro: 25.0 (#126), Qwen2.5 72B Instruct: —
| Benchmark | Amazon Nova Pro | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Vision | 980 | — |
Multilingual Qwen2.5 72B Instruct leads
Amazon Nova Pro: 39.7 (#223), Qwen2.5 72B Instruct: 41.0 (#213)
| Benchmark | Amazon Nova Pro | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Non-English | 1234 | 1252 |
| LMArena Chinese | 1244 | 1272 |
| LMArena French | 1271 | 1280 |
| LMArena German | 1243 | 1234 |
| LMArena Japanese | 1200 | 1180 |
| LMArena Korean | 1203 | 1188 |
| LMArena Russian | 1240 | 1264 |
| LMArena Spanish | 1182 | 1256 |
Instruction Following Too close to call
Amazon Nova Pro: 64.9 (#226), Qwen2.5 72B Instruct: 65.5 (#221)
| Benchmark | Amazon Nova Pro | Qwen2.5 72B Instruct |
|---|---|---|
| IFEval | 81.5% | 80.6% |
| LMArena Instruction Following | 1235 | 1254 |
| LiveBench Instruction Following | 67.1% | — |
Long Context Too close to call
Amazon Nova Pro: 38.1 (#205), Qwen2.5 72B Instruct: 38.9 (#188)
| Benchmark | Amazon Nova Pro | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Longer Query | 1255 | 1282 |
Writing & Preference Qwen2.5 72B Instruct leads
Amazon Nova Pro: 43.9 (#226), Qwen2.5 72B Instruct: 46.7 (#215)
| Benchmark | Amazon Nova Pro | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Text | 1259 | 1269 |
| LMArena Creative Writing | 1212 | 1221 |
| WildBench | 77.7% | 80.2% |
| LMArena Multi-Turn | 1246 | 1272 |
| Short-Story Creative Writing | 60.5% | — |
| LiveBench Language | 37% | — |
Frequently asked questions
Is Amazon Nova Pro better than Qwen2.5 72B Instruct?
Amazon Nova Pro and Qwen2.5 72B Instruct score almost the same on the Noometry Index (31.0 vs 31.9), so choose on price, context window or the category you care about most.
Which is cheaper, Amazon Nova Pro or Qwen2.5 72B Instruct?
Amazon Nova Pro is cheaper. It lists at $0.80 per million input tokens and $3.20 per million output tokens; Qwen2.5 72B Instruct lists at $1.40 and $5.60.
Is Amazon Nova Pro or Qwen2.5 72B Instruct better for coding?
Amazon Nova Pro scores higher on coding benchmarks: 35.1 versus 33.2 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 72B Instruct share?
26 benchmarks have published results for both models. Amazon Nova Pro has 38 scored results on Noometry and Qwen2.5 72B Instruct has 43.