c4ai-command-r-v01: benchmark scores, price and ranking
c4ai-command-r-v01 from CohereLabs ranks #579 of 743 LLMs on the LLMs Tiger aggregate benchmark score (45.5), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- CohereLabs
- Type
- Open-weight / local model
- Open weights
- Yes
- Aggregate rank
- #579 of 743 (score 45.5)
Across the 1 benchmark where at least ten models are scored, c4ai-command-r-v01 is in the top 10% on 0 and in the top half on 0.
c4ai-command-r-v01 benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| MMLU-Pro | 37.9% | #105 of 136 | HuggingFace MMLU-Pro leaderboard | 2026-10-13 |
About c4ai-command-r-v01
c4ai-command-r-v01 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 c4ai-command-r-v01 stands
On our aggregate score, c4ai-command-r-v01 is #579 of 743 ranked models, in the lower half. Its score is 45.5; the scale is centred on 50, so it sits 4.5 points below the typical model. That beats 22% of the ranked field. Among the 5 ranked CohereLabs models it is #2. The next one up is aya-expanse-32b at 46.5. The next one down is c4ai-command-r7b-12-2024 at 45.3.
c4ai-command-r-v01, benchmark by benchmark
c4ai-command-r-v01 lands below the middle on MMLU-Pro: 37.9%, #105 of 136, with 76% of the field scoring higher. Darwin-180B-RSI leads at 88.1%; the closest result above is Ministral-8B-Instruct-2410 at 37.9%. It covers 57-subject knowledge + reasoning. The board median is 55.3%, so c4ai-command-r-v01 is 17.4 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
- #576 Qwen1.5-14B-Chat (45.5)
- #577 granite-4.1-30b (45.5)
- #578 Ministral-8B-Instruct-2410 (45.5)
- #580 qwen1.5-72b-chat (45.5)
- #581 Qwen3-Coder-480B-A35B-Instruct (45.5)
- #582 ollama/codegeex4 (45.5)
More from CohereLabs
- aya-expanse-32b (#512, 46.5)
- 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