Command A vs GPT-4o
Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.
Cohere · Mar 2025
Cohere's enterprise RAG specialist — 111B dense, two-GPU deployable, with downloadable weights for private deployments.
OpenAI · May 2024
The 2024 omni-modal classic with native audio in and out; superseded at the frontier but still everywhere in production.
The verdict
These two models don't yet share verified results on the benchmarks we track, so judge them on specs, pricing and intended use. Command A also takes 262K of context versus 128K for GPT-4o. And Command A is open-weights (CC-BY-NC 4.0), so it can be self-hosted — a structural advantage if data control or vendor independence matters.
Specs & pricing
| Command A | GPT-4o | |
|---|---|---|
| modhub Index | — | — |
| Input price / 1M | $2.5 | $2.5 |
| Output price / 1M | $10 | $10 |
| Context window | 262K | 128K |
| Max output | 8K | 16K |
| Open weights | yes (CC-BY-NC 4.0) | no |
| Reasoning model | no | no |
| Multimodal input | text | text, image, audio |
| Knowledge cutoff | Jun 2024 | Oct 2023 |
| Released | Mar 2025 | May 2024 |
| Example monthly cost* | $40.00 | $40.00 |
* 10M input + 1.5M output tokens per month at list prices, no caching. Green = better value on that row.
Frequently asked questions
- Which is better, Command A or GPT-4o?
- These two models don't yet share verified results on the benchmarks we track, so judge them on specs, pricing and intended use. Command A also takes 262K of context versus 128K for GPT-4o. And Command A is open-weights (CC-BY-NC 4.0), so it can be self-hosted — a structural advantage if data control or vendor independence matters.
- Which is cheaper, Command A or GPT-4o?
- Command A costs $2.5/$10 per million input/output tokens, while GPT-4o costs $2.5/$10. For a typical workload of 10M input and 1.5M output tokens per month, that's $40.00 versus $40.00.
- Which model is better for coding, Command A or GPT-4o?
- We don't yet track SWE-bench Verified results for both models; check their individual pages for coding-related scores.