Cohere
availableShows if the model has enough results for an index.Command A+
Command A+ is a reasoning model from Cohere in the Command A family. 16 benchmarks count toward its score, in 6 categories.
IndexOverall score. 50 is the middle.41.8 ±5.5
CoverageShare of the index weight with results.85%
SpeedOutput tokens per second.240/s
Input / 1MUS dollars per 1M input tokens.$2.5
Output / 1MUS dollars per 1M output tokens.$10
ContextMaximum tokens in one request.128K
EloLMArena rating and rank.N/A
50 is the middle of the board. The range shows the doubt in the index.
CapabilitiesScore per category. 50 is the middle.
50 is the middleResults
16 counted| BenchmarkThe test name. | CategoryThe capability that the test measures. | ResultThe score from the publisher. | IndexThis result on the index scale. | RunThe settings of the run. | DateDate of the result. | Published byThe source of the result. |
|---|---|---|---|---|---|---|
| τ²-Bench Tool-Agent-User Evaluation | Agentic | 85.0% | 59.8 | — | — | Victor Barres et al. |
| Artificial Analysis GPQA Diamond | Knowledge | 76.1% | 46.5 | — | — | Artificial Analysis |
| Massive Multi-discipline Multimodal Understanding | Multimodal | 75.1% | 44.5 | — | — | MMMU authors |
| Artificial Analysis IFBench | Instruction | 73.9% | 64.1 | — | — | Artificial Analysis |
| Artificial Analysis MMMU-Pro | Multimodal | 63.2% | 44.3 | — | — | Artificial Analysis |
| Massive Multi-discipline Multimodal Understanding Pro | Multimodal | 63.0% | 29.9 | — | — | MMMU-Pro authors |
| Artificial Analysis Long Context Reasoning | Reasoning | 52.7% | 44.7 | — | — | Artificial Analysis |
| CharXiv Reasoning | Multimodal | 52.7% | 26.0 | — | — | CharXiv authors |
| Artificial Analysis SciCode | Coding | 38.5% | 46.3 | — | — | Artificial Analysis |
| Artificial Analysis Coding Index | Coding | 27.9% | 38.6 | — | — | Artificial Analysis |
| Artificial Analysis Intelligence Index | Knowledge | 22.5% | 50.5 | — | — | Artificial Analysis |
| Artificial Analysis Humanity's Last Exam | Knowledge | 12.0% | 37.6 | — | — | Artificial Analysis |
| Artificial Analysis Omniscience Accuracy | Knowledge | 8.9% | 24.9 | — | — | Artificial Analysis |
| Artificial Analysis Agentic Index | Agentic | 3.6% | 40.1 | — | — | Artificial Analysis |
| Critical Physics Tasks | Reasoning | 0.3% | 39.0 | — | — | Artificial Analysis |
| GDPval-AA normalized | Agentic | 0.0% | 35.6 | — | — | Artificial Analysis |
16 benchmarks count, from 16 of 16 results. A grey row does not count. Too few models took that benchmark.