c4ai-command-r-plus-08-2024: benchmark scores, price and ranking
c4ai-command-r-plus-08-2024 from Cohere,Cohere Labs (formerly Cohere for AI) ranks #728 of 743 LLMs on the LLMs Tiger aggregate benchmark score (41.2), based on 4 benchmark results captured up to 2026-10-13.
- Organisation
- Cohere,Cohere Labs (formerly Cohere for AI)
- Type
- Open-weight / local model
- Open weights
- Yes
- Released
- 2024-08-30 (source: epoch)
- Aggregate rank
- #728 of 743 (score 41.2)
Relative to other models, c4ai-command-r-plus-08-2024 is strongest on DTBench (#114 of 146) and weakest on SimpleBench (#60 of 61).
Across the 4 benchmarks where at least ten models are scored, c4ai-command-r-plus-08-2024 is in the top 10% on 0 and in the top half on 0.
c4ai-command-r-plus-08-2024 benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| DTBench | 54.9% | #114 of 146 | Epoch AI Benchmarking Hub | 2026-10-13 |
| GPQA Diamond | 34.3% | #236 of 275 | HuggingFace GPQA Diamond leaderboard | 2026-10-13 |
| LMCA | 5.0% | #106 of 108 | Epoch AI Benchmarking Hub | 2026-10-13 |
| SimpleBench | 17.4% | #60 of 61 | Epoch AI Benchmarking Hub | 2026-10-13 |
About c4ai-command-r-plus-08-2024
c4ai-command-r-plus-08-2024 is an open-weight model that can run on your own hardware from Cohere,Cohere Labs (formerly Cohere for AI). It was released on 2024-08-30, according to Epoch AI. No API price is listed for it yet. We hold 4 benchmark results for it across 3 areas, and none is in the top tenth of its board.
Where c4ai-command-r-plus-08-2024 stands
On our aggregate score, c4ai-command-r-plus-08-2024 is #728 of 743 ranked models, in the lower half. Its score is 41.2; the scale is centred on 50, so it sits 8.8 points below the typical model. That beats 2% of the ranked field. Among the 3 ranked Cohere,Cohere Labs (formerly Cohere for AI) models it is #3. The next one up is Command R+ at 45.4.
c4ai-command-r-plus-08-2024, benchmark by benchmark
c4ai-command-r-plus-08-2024 lands below the middle on DTBench: 54.9%, #114 of 146, with 77% of the field scoring higher. Claude Opus 5.5 (max) leads at 98.9%; the closest result above is Mixtral-8x22B-Instruct-v0.1 at 55.1%. It covers dynamic tool-use benchmark. The board median is 68.8%, so c4ai-command-r-plus-08-2024 is 13.9 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
GPQA Diamond is a weak spot. c4ai-command-r-plus-08-2024 scores 34.3%, #236 of 275, behind 85% 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-plus-08-2024 is 37.4 points below it. Source: HuggingFace GPQA Diamond leaderboard, captured 2026-10-13.
LMCA is a weak spot. c4ai-command-r-plus-08-2024 scores 5.0%, #106 of 108, behind 97% 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-plus-08-2024 is 24.2 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
SimpleBench is a weak spot. c4ai-command-r-plus-08-2024 scores 17.4%, #60 of 61, behind 97% of the models measured. The leader, Claude Fable 5 (max), reaches 81.9%. It covers trick questions that test common sense. The board median is 41.4%, so c4ai-command-r-plus-08-2024 is 24.0 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
Strengths and weaknesses
Reasoning, maths and science: weak, ahead of 8% of the field on average across 2 benchmarks. Its best board here is GPQA Diamond (#236 of 275) and its weakest is SimpleBench (#60 of 61).
Release history
The next one was Command R+ on 2024-08-30, at 45.4.
Reading these numbers
The 4 scores on this page come from 2 sources: Epoch AI Benchmarking Hub (3), HuggingFace GPQA Diamond leaderboard (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 4 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #725 ministral-3b-2410 (41.3)
- #726 c4ai-command-r-08-2024 (41.3)
- #727 GPT-4 (Jun 2023) (41.2)
- #729 Llama-3.2-1B-Instruct (41.1)
- #730 open-mistral-7b (41.0)
- #731 Llama-3.3-70B-Instruct (40.7)
More from Cohere,Cohere Labs (formerly Cohere for AI)
- Command A+ (#483, 46.8)
- Command R+ (#593, 45.4)
Compare it on the live leaderboard → · How the aggregate score works