Cadle Cap ranks models on every published score we have for them — harder benchmarks weigh more. Missing tests are skipped, not zeroed. It answers who is stronger than whom in today's pool.
Model Matrix is the datasheet: Overall, Intelligence, Coding, Agentic, MMLU, GPQA, Math, LiveCodeBench, HumanEval, Reason, ARC-AGI. A dash means unmeasured. AVG is an importance-weighted mean of that model's filled cells only.
MODEL MATRIX · TRUTH CENTER CELLS
Overall
No data yet
Intelligence
No data yet
Coding
No data yet
Agentic
No data yet
MMLU
59.2
GPQA
No data yet
Math
No data yet
LiveCodeBench
No data yet
HumanEval
No data yet
Reason
No data yet
ARC-AGI
No data yet
Coverage AVG
59.2
Cadle Cap ranks models with within-benchmark percentiles so ARC-AGI ~40 and MMLU ~90 never compete raw. Coverage AVG is an importance-weighted mean of filled expert cells only — blanks are skipped, not zeroed.
NOT RANKED YET
We only rank a model once it has enough published benchmark results to compare fairly. Everything below is what we do know: pricing, news and any scores that have been published.
SPEED · COST · QUALITY
Measured matrix / AA / gateway rows only.
Input $/1M
$0.15
Output $/1M
$0.60
DESCRIPTION + DETAILS
PROVIDER
Cohere
RELEASE
2024-08-30
CONTEXT
128K tokens
STATUS
ACTIVE
COMMUNITY REVIEWS
OPERATOR NOTES
Quality, latency, cost, and failure modes — not marketing copy.
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First review sets the tone for how teams evaluate Cohere: Command R (08-2024).
MODEL COMPARISON
Metric
Cohere: Command R (08-2024)
Provider
Cohere
Release
2024-08-30
Input / 1M
$0.15
Output / 1M
$0.60
Context
128K tokens
Cadle Cap
1
Cap board
Unranked
DATA PROVENANCE
Scores may use different scales — check the Benchmarks tab for source links.
Supabase models
Cadle public observations
SOURCE TRACKING
Evidence linked to this model — listing, hub, benchmarks, or live gateway prices.