aya-expanse-32b: benchmark scores, price and ranking
aya-expanse-32b from CohereLabs ranks #512 of 743 LLMs on the LLMs Tiger aggregate benchmark score (46.5), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- CohereLabs
- Type
- Open-weight / local model
- Open weights
- Yes
- Aggregate rank
- #512 of 743 (score 46.5)
Across the 1 benchmark where at least ten models are scored, aya-expanse-32b is in the top 10% on 0 and in the top half on 0.
aya-expanse-32b benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| MMLU-Pro | 45.4% | #86 of 136 | HuggingFace MMLU-Pro leaderboard | 2026-10-13 |
About aya-expanse-32b
aya-expanse-32b is an open-weight model that can run on your own hardware from CohereLabs. No API price is listed for it yet. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.
Where aya-expanse-32b stands
On our aggregate score, aya-expanse-32b is #512 of 743 ranked models, in the lower half. Its score is 46.5; the scale is centred on 50, so it sits 3.5 points below the typical model. That beats 31% of the ranked field. Among the 5 ranked CohereLabs models it is #1. The next one down is c4ai-command-r-v01 at 45.5.
aya-expanse-32b, benchmark by benchmark
aya-expanse-32b lands below the middle on MMLU-Pro: 45.4%, #86 of 136, with 62% of the field scoring higher. Darwin-180B-RSI leads at 88.1%; the closest result above is Phi-3-mini-4k-instruct at 45.7%. It covers 57-subject knowledge + reasoning. The board median is 55.3%, so aya-expanse-32b is 9.8 points below it. Source: HuggingFace MMLU-Pro leaderboard, captured 2026-10-13.
Reading these numbers
The 1 score on this page comes from 1 source: HuggingFace MMLU-Pro leaderboard (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 1 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #509 Mellum2-12B-A2.5B-Instruct-SFT (46.5)
- #510 Qwen2.5-Coder-3B-Instruct (46.5)
- #511 amazon.nova-pro-v1:0 (46.5)
- #513 Mistral Small 4 (46.5)
- #514 Qwen2-VL-7B-Instruct (46.5)
- #515 Gemma 2 9B (46.5)
More from CohereLabs
- c4ai-command-r-v01 (#579, 45.5)
- c4ai-command-r7b-12-2024 (#598, 45.3)
- aya-expanse-8b (#613, 44.9)
- c4ai-command-r-08-2024 (#726, 41.3)
Compare it on the live leaderboard → · How the aggregate score works