Cohere enterprise human evaluation
Trained annotators blindly compare two models' answers on enterprise tasks such as HR FAQs, technical FAQs and workplace assistants. They judge accuracy, instruction following and style. Results are win, tie and loss rates.
The Command A post reports six task groups and an average against GPT-4o (November 2024).
- Made by
- Cohere
- Released
- March 2025
- Kind
- Running a business
- Level
- Everyday
- Scored
- Ranked by votes
- Answers
- Open-ended
- Tasks
- Kept private
- Strongest model tested
- GPT-4o Nov 2024 #160 on the capability index
- Last in a launch post
- March 2025, dropped before it saturated
- Last model added
- April 2025
- Scores refreshed
- November 12th, 2026
Only Cohere Command A has a rating here, from its lab’s own post
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs. A rating ranks a model only against others rated in the same arena at the same time, so these don’t show who leads.
Cohere Command A leads with 51.7% across all independent runs
Best score per model across the official leaderboard, Epoch AI’s own runs and any board Epoch AI copied. Each bar and row names its source.
Source: Labs’ model cards
- 1
Cohere Command A 51.7%
- 2 GPT-4o Nov 2024 33%
Source: Official Cohere enterprise human evaluation leaderboard
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 51.7% | Mar 2025 | Lab model card |
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 51.7% | Mar 2025 | Official leaderboard | |
| 2 | GPT-4o Nov 2024 | 33% | Nov 2024 | Official leaderboard |
The benchmark's own leaderboard has 2 models. Switch the scores above to rank them together.
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Sources: Official Cohere enterprise human evaluation leaderboard and labs’ model cards
No launch post has listed it since March 2025
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| Mar 13, 2025 | 51.7 | Head-to-head human evaluation win rate vs GPT-4o (Nov), average of six enterprise task groups (tie 15.3) |
One system card reports it
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Apr 1, 2025 | | Human pairwise win rate vs GPT-4o, three subsets with no overall (Table 23, Figure 1): General 50.4, Reasoning 51.4, Code 46.8 | Capabilities |
One lab claim next to the leaderboard
Each score a lab reported for its own model, beside the same model's best score on the leaderboard. Gaps mostly come from different harnesses, effort levels and task subsets. 1 of them match, which usually means one side copied the other. Every benchmark.
| Model | Lab says | Board says | Gap |
|---|---|---|---|
| | 51.7% Head-to-head human evaluation win rate vs GPT-4o (Nov), average of six enterprise task groups (tie 15.3) | 51.7% Leaderboard | Same |
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