Model comparison
C4ai Aya Expanse 32b vs o3-pro
o3-pro is the stronger model overall, scoring 42.7 to 35.3 on the Noometry Index.
Last verified . 1 shared benchmarks.
CohereSummary
- They share 1 benchmark with published results for both. C4ai Aya Expanse 32b scores higher in 1 category and o3-pro in 4 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in long context, where o3-pro leads 72.1 to 37.2.
- The biggest single-benchmark swing is Vectara Hallucination Rate: 10.9% for C4ai Aya Expanse 32b and 23.3% for o3-pro.
- o3-pro accepts more context: 200K tokens versus 128K.
- C4ai Aya Expanse 32b has downloadable open weights; the other is API-only.
Side by side
| C4ai Aya Expanse 32b | o3-pro | |
|---|---|---|
| Provider | Cohere | OpenAI |
| Noometry Index | 35.3 | 42.7 |
| Released | 2024-10-24 | 2025-06-10 |
| Weights | Open | Proprietary |
| Context window | 128K | 200K |
| Max output | 4K | 100K |
| Input $ / M tokens | — | $20 |
| Output $ / M tokens | — | $80 |
| Results tracked | 18 | 12 |
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Category by category
Coding o3-pro leads
C4ai Aya Expanse 32b: 34.3 (#227), o3-pro: 55.1 (#22)
| Benchmark | C4ai Aya Expanse 32b | o3-pro |
|---|---|---|
| Aider Polyglot | — | 84.9% |
| WeirdML | — | 58.2% |
| LMArena Coding | 1197 | — |
Reasoning o3-pro leads
C4ai Aya Expanse 32b: 22.3 (#183), o3-pro: 24.1 (#152)
| Benchmark | C4ai Aya Expanse 32b | o3-pro |
|---|---|---|
| ARC-AGI-2 | — | 4.9% |
| Kagi LLM Benchmark | — | 72.1% |
| ARC-AGI-1 | — | 59.3% |
| LMArena Hard Prompts | 1193 | — |
| DTBench | — | 86.9% |
| LMCA | — | 38.5% |
| Epoch Capabilities Index | — | 147.43 |
Math Not comparable
C4ai Aya Expanse 32b: 31.4 (#195), o3-pro: —
| Benchmark | C4ai Aya Expanse 32b | o3-pro |
|---|---|---|
| LMArena Math | 1200 | — |
Knowledge C4ai Aya Expanse 32b leads
C4ai Aya Expanse 32b: 32.6 (#202), o3-pro: 29.0 (#234)
| Benchmark | C4ai Aya Expanse 32b | o3-pro |
|---|---|---|
| Vectara Hallucination Rate | 10.9% | 23.3% |
| Confabulations | — | 14.2% |
| LMArena Expert | 1182 | — |
Multilingual Not comparable
C4ai Aya Expanse 32b: 38.5 (#225), o3-pro: —
| Benchmark | C4ai Aya Expanse 32b | o3-pro |
|---|---|---|
| LMArena Non-English | 1213 | — |
| LMArena Chinese | 1210 | — |
| LMArena French | 1247 | — |
| LMArena German | 1199 | — |
| LMArena Japanese | 1163 | — |
| LMArena Korean | 1158 | — |
| LMArena Russian | 1227 | — |
| LMArena Spanish | 1193 | — |
Instruction Following Not comparable
C4ai Aya Expanse 32b: 62.9 (#232), o3-pro: —
| Benchmark | C4ai Aya Expanse 32b | o3-pro |
|---|---|---|
| LMArena Instruction Following | 1196 | — |
Long Context o3-pro leads
C4ai Aya Expanse 32b: 37.2 (#215), o3-pro: 72.1 (#1)
| Benchmark | C4ai Aya Expanse 32b | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
| LMArena Longer Query | 1228 | — |
Writing & Preference o3-pro leads
C4ai Aya Expanse 32b: 42.4 (#230), o3-pro: 57.1 (#128)
| Benchmark | C4ai Aya Expanse 32b | o3-pro |
|---|---|---|
| LMArena Text | 1224 | — |
| LMArena Creative Writing | 1200 | — |
| Short-Story Creative Writing | — | 84.4% |
| LMArena Multi-Turn | 1190 | — |
Frequently asked questions
Is C4ai Aya Expanse 32b better than o3-pro?
o3-pro is the stronger model overall, scoring 42.7 to 35.3 on the Noometry Index.
Is C4ai Aya Expanse 32b or o3-pro better for coding?
o3-pro scores higher on coding benchmarks: 55.1 versus 34.3 in the Noometry coding category.
Which has the bigger context window?
o3-pro does, with 200K tokens against 128K.
How many benchmarks do C4ai Aya Expanse 32b and o3-pro share?
1 benchmark has published results for both models. C4ai Aya Expanse 32b has 18 scored results on Noometry and o3-pro has 12.