c4ai-command-r-08-2024: benchmark scores, price and ranking
c4ai-command-r-08-2024 from CohereLabs ranks #726 of 743 LLMs on the LLMs Tiger aggregate benchmark score (41.3), based on 3 benchmark results captured up to 2026-10-13.
- Organisation
- CohereLabs
- Type
- Open-weight / local model
- Open weights
- Yes
- Released
- 2024-08-30 (source: epoch)
- Aggregate rank
- #726 of 743 (score 41.3)
Relative to other models, c4ai-command-r-08-2024 is strongest on LMCA (#97 of 108) and weakest on DTBench (#139 of 146).
Across the 3 benchmarks where at least ten models are scored, c4ai-command-r-08-2024 is in the top 10% on 0 and in the top half on 0.
c4ai-command-r-08-2024 benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| LMCA | 9.2% | #97 of 108 | Epoch AI Benchmarking Hub | 2026-10-13 |
| GPQA Diamond | 26.8% | #261 of 275 | HuggingFace GPQA Diamond leaderboard | 2026-10-13 |
| DTBench | 46.4% | #139 of 146 | Epoch AI Benchmarking Hub | 2026-10-13 |
About c4ai-command-r-08-2024
c4ai-command-r-08-2024 is an open-weight model that can run on your own hardware from CohereLabs. It was released on 2024-08-30, according to Epoch AI. No API price is listed for it yet. We hold 3 benchmark results for it across 3 areas, and none is in the top tenth of its board.
Where c4ai-command-r-08-2024 stands
On our aggregate score, c4ai-command-r-08-2024 is #726 of 743 ranked models, in the lower half. Its score is 41.3; the scale is centred on 50, so it sits 8.7 points below the typical model. That beats 2% of the ranked field. Among the 5 ranked CohereLabs models it is #5. The next one up is aya-expanse-8b at 44.9.
c4ai-command-r-08-2024, benchmark by benchmark
LMCA is a weak spot. c4ai-command-r-08-2024 scores 9.2%, #97 of 108, behind 89% of the models measured. The leader, Claude Opus 5.5 (max), reaches 68.2%. It covers language-model capability assessment. The board median is 29.2%, so c4ai-command-r-08-2024 is 20.0 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
GPQA Diamond is a weak spot. c4ai-command-r-08-2024 scores 26.8%, #261 of 275, behind 95% of the models measured. The leader, GPT-6 Astra (max), reaches 95.8%. It covers expert-level science questions. The board median is 71.7%, so c4ai-command-r-08-2024 is 44.9 points below it. Source: HuggingFace GPQA Diamond leaderboard, captured 2026-10-13.
DTBench is a weak spot. c4ai-command-r-08-2024 scores 46.4%, #139 of 146, behind 95% of the models measured. The leader, Claude Opus 5.5 (max), reaches 98.9%. It covers dynamic tool-use benchmark. The board median is 68.8%, so c4ai-command-r-08-2024 is 22.4 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
Strengths and weaknesses
c4ai-command-r-08-2024 has too few results on boards with ten or more models to say where it is strong or weak. Treat any single score as a data point, not a verdict.
Reading these numbers
The 3 scores on this page come from 2 sources: Epoch AI Benchmarking Hub (2), HuggingFace GPQA Diamond leaderboard (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 3 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #723 gemini-1.0-pro-001 (41.5)
- #724 Claude 3.5 Haiku (Oct 2024) (41.3)
- #725 ministral-3b-2410 (41.3)
- #727 GPT-4 (Jun 2023) (41.2)
- #728 c4ai-command-r-plus-08-2024 (41.2)
- #729 Llama-3.2-1B-Instruct (41.1)
More from CohereLabs
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- aya-expanse-8b (#613, 44.9)
Compare it on the live leaderboard → · How the aggregate score works