c4ai-command-r7b-12-2024: benchmark scores, price and ranking

c4ai-command-r7b-12-2024 from CohereLabs ranks #598 of 743 LLMs on the LLMs Tiger aggregate benchmark score (45.3), based on 1 benchmark results captured up to 2026-10-13.

Organisation
CohereLabs
Type
Open-weight / local model
Open weights
Yes
Aggregate rank
#598 of 743 (score 45.3)

Across the 1 benchmark where at least ten models are scored, c4ai-command-r7b-12-2024 is in the top 10% on 0 and in the top half on 0.

c4ai-command-r7b-12-2024 benchmark results

c4ai-command-r7b-12-2024 benchmark scores, ranked against all models measured on each benchmark
BenchmarkScoreRankSourceCaptured
GPQA Diamond26.8%#262 of 275HuggingFace GPQA Diamond leaderboard2026-10-13

About c4ai-command-r7b-12-2024

c4ai-command-r7b-12-2024 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-r7b-12-2024 stands

On our aggregate score, c4ai-command-r7b-12-2024 is #598 of 743 ranked models, in the lower half. Its score is 45.3; the scale is centred on 50, so it sits 4.7 points below the typical model. That beats 20% of the ranked field. Among the 5 ranked CohereLabs models it is #3. The next one up is c4ai-command-r-v01 at 45.5. The next one down is aya-expanse-8b at 44.9.

c4ai-command-r7b-12-2024, benchmark by benchmark

GPQA Diamond is a weak spot. c4ai-command-r7b-12-2024 scores 26.8%, #262 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-r7b-12-2024 is 44.9 points below it. Source: HuggingFace GPQA Diamond leaderboard, captured 2026-10-13.

Reading these numbers

The 1 score on this page comes from 1 source: HuggingFace GPQA Diamond 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.

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Compare it on the live leaderboard → · How the aggregate score works