Model comparison
Amazon Nova Pro vs Yi-34B
Amazon Nova Pro is the stronger model overall, scoring 31.0 to 27.8 on the Noometry Index.
Last verified . 19 shared benchmarks.
Summary
- They share 19 benchmarks with published results for both. Amazon Nova Pro scores higher in 7 categories and Yi-34B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Amazon Nova Pro leads 27.4 to 7.5.
- Yi-34B has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Pro | Yi-34B | |
|---|---|---|
| Provider | Amazon | 01.AI |
| Noometry Index | 31.0 | 27.8 |
| Released | 2024-12-03 | 2023-11-02 |
| Weights | Proprietary | Open |
| Context window | 300K | — |
| Max output | 10K | — |
| Input $ / M tokens | $0.80 | — |
| Output $ / M tokens | $3.20 | — |
| Results tracked | 38 | 23 |
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Category by category
Coding Amazon Nova Pro leads
Amazon Nova Pro: 35.1 (#229), Yi-34B: 32.3 (#274)
| Benchmark | Amazon Nova Pro | Yi-34B |
|---|---|---|
| LMArena Coding | 1270 | 1112 |
| LiveBench Coding | 38.1% | — |
Agentic & Tool Use Not comparable
Amazon Nova Pro: 16.7 (#147), Yi-34B: —
| Benchmark | Amazon Nova Pro | Yi-34B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 25% | — |
| TheAgentCompany | 1.7% | — |
Reasoning Yi-34B leads
Amazon Nova Pro: 20.0 (#243), Yi-34B: 21.2 (#226)
| Benchmark | Amazon Nova Pro | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1246 | 1104 |
| Epoch Capabilities Index | 123.8 | 117.39 |
| LiveBench Reasoning | 32.6% | — |
| LiveBench Data Analysis | 48.3% | — |
| BIG-Bench Hard | — | 71.7% |
| LiveBench | 43.5% | — |
Math Amazon Nova Pro leads
Amazon Nova Pro: 28.5 (#243), Yi-34B: 21.6 (#282)
| Benchmark | Amazon Nova Pro | Yi-34B |
|---|---|---|
| LMArena Math | 1252 | 1114 |
| Omni-MATH | 24.2% | — |
| LiveBench Math | 38% | — |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |
Knowledge Amazon Nova Pro leads
Amazon Nova Pro: 27.4 (#250), Yi-34B: 7.5 (#309)
| Benchmark | Amazon Nova Pro | Yi-34B |
|---|---|---|
| LMArena Expert | 1211 | 1061 |
| MMLU | 82% | 76.3% |
| GPQA Diamond | — | 14.7% |
| Humanity's Last Exam | 4.4% | — |
| MMLU-Pro | 67.3% | — |
| Confabulations | 30.1% | — |
| Vectara Hallucination Rate | 5.1% | — |
| GPQA (HELM) | 44.6% | — |
Multimodal Not comparable
Amazon Nova Pro: 25.0 (#126), Yi-34B: —
| Benchmark | Amazon Nova Pro | Yi-34B |
|---|---|---|
| LMArena Vision | 980 | — |
Multilingual Amazon Nova Pro leads
Amazon Nova Pro: 39.7 (#223), Yi-34B: 29.7 (#264)
| Benchmark | Amazon Nova Pro | Yi-34B |
|---|---|---|
| LMArena Non-English | 1234 | 1079 |
| LMArena Chinese | 1244 | 1176 |
| LMArena French | 1271 | 1081 |
| LMArena German | 1243 | 1042 |
| LMArena Japanese | 1200 | 993 |
| LMArena Korean | 1203 | 959 |
| LMArena Russian | 1240 | 1050 |
| LMArena Spanish | 1182 | 1070 |
Instruction Following Amazon Nova Pro leads
Amazon Nova Pro: 64.9 (#226), Yi-34B: 56.2 (#274)
| Benchmark | Amazon Nova Pro | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1235 | 1091 |
| LiveBench Instruction Following | 67.1% | — |
| IFEval | 81.5% | — |
Long Context Amazon Nova Pro leads
Amazon Nova Pro: 38.1 (#205), Yi-34B: 33.2 (#264)
| Benchmark | Amazon Nova Pro | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1255 | 1094 |
Writing & Preference Amazon Nova Pro leads
Amazon Nova Pro: 43.9 (#226), Yi-34B: 34.1 (#273)
| Benchmark | Amazon Nova Pro | Yi-34B |
|---|---|---|
| LMArena Text | 1259 | 1129 |
| LMArena Creative Writing | 1212 | 1108 |
| LMArena Multi-Turn | 1246 | 1113 |
| Short-Story Creative Writing | 60.5% | — |
| WildBench | 77.7% | — |
| LiveBench Language | 37% | — |
Frequently asked questions
Is Amazon Nova Pro better than Yi-34B?
Amazon Nova Pro is the stronger model overall, scoring 31.0 to 27.8 on the Noometry Index.
Is Amazon Nova Pro or Yi-34B better for coding?
Amazon Nova Pro scores higher on coding benchmarks: 35.1 versus 32.3 in the Noometry coding category.
How many benchmarks do Amazon Nova Pro and Yi-34B share?
19 benchmarks have published results for both models. Amazon Nova Pro has 38 scored results on Noometry and Yi-34B has 23.