Command A Translate vs Command A Reasoning vs GPT-5-Codex
GPT-5-Codex comes out ahead, 42 to 27 and 17 on our weighted score, and it is the cheaper option too.
CohereCommand A Translate
17/100- ECI—
- Price$2.50 / $10.00
- Context8K
- Cohere
Command A Reasoning
27/100- ECI—
- Price$2.50 / $10.00
- Context256K
- Our pick
OpenAIGPT-5-Codex
42/100- ECI—
- Price$1.25 / $10.00
- Context400K
GPT-5-Codex is our pick
GPT-5-Codex is the better all-round choice, scoring 42/100 against Command A Reasoning (27) and Command A Translate (17). It leads on price, inputs & features and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceGPT-5-CodexGPT-5-Codex $3.44 · Command A Translate $4.38 · Command A Reasoning $4.38 per 1M tokens (3:1 blend)
- Longest contextGPT-5-CodexGPT-5-Codex 400,000 · Command A Reasoning 256,000 · Command A Translate 8,000 tokens
- Widest inputsGPT-5-CodexCommand A Translate: Text · Command A Reasoning: Text · GPT-5-Codex: Text, Images
- Self-hostingCommand A Translate and Command A ReasoningPublishes downloadable weights
| Measure | Weight | Command A Translate | Command A Reasoning | GPT-5-Codex |
|---|---|---|---|---|
| Price | 50% | 19 | 19 | 24 |
| Inputs & features | 30% | 25 | 35 | 70 |
| Context window | 20% | 0 | 36 | 44 |
| Overall | 100% | 17/100 | 27/100 | 42/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Command A TranslateCohere | Command A ReasoningCohere | GPT-5-CodexOpenAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $2.50 | $2.50 | $1.25 (best) |
| Output | $10.00 | $10.00 | $10.00 |
| Cached input | — | — | — |
| Blended (3:1) | $4.38 | $4.38 | $3.44 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Cohere API | Official Cohere API | Median of 3 providers |
| Limits | |||
| Context window | 8,000 tokens | 256,000 tokens | 400,000 tokens (best) |
| Max output | 8,000 tokens | 32,000 tokens | 128,000 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | Open | Open | Proprietary |
| API model ID | command-a-translate-08-2025 | command-a-reasoning-08-2025 | — |
| API providers | 1 | 3 (best) | 3 (best) |
| Released | Aug 28, 2025 | Aug 21, 2025 | Sep 15, 2025 |
| Knowledge cutoff | Jun 1, 2024 | Jun 1, 2024 | Sep 30, 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Command A Translate$45.00
- Command A Reasoning$45.00
- GPT-5-Codex$32.50
Which should you choose?
Which is better: Command A Translate, Command A Reasoning or GPT-5-Codex?
GPT-5-Codex is the better all-round choice, scoring 42/100 against Command A Reasoning (27) and Command A Translate (17). It leads on price, inputs & features and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Command A Translate, Command A Reasoning or GPT-5-Codex?
GPT-5-Codex is cheaper at $1.25 input / $10.00 output per million tokens (median across 3 API providers). Command A Translate costs $2.50 input / $10.00 output per million tokens (official Cohere API price); Command A Reasoning costs $2.50 input / $10.00 output per million tokens (official Cohere API price). At a typical mix of three input tokens to one output token, that is $3.44 per million tokens for GPT-5-Codex versus $4.38 for Command A Translate (1.3× as much) and $4.38 for Command A Reasoning (1.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Command A Translate has not been scored yet, Command A Reasoning has not been scored yet and GPT-5-Codex has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Command A Translate, Command A Reasoning and GPT-5-Codex yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
GPT-5-Codex has the largest context window at 400,000 tokens, against 256,000 for Command A Reasoning and 8,000 for Command A Translate. Maximum output per response: Command A Translate up to 8,000, Command A Reasoning up to 32,000, GPT-5-Codex up to 128,000 tokens.
Which can read images, PDFs, audio or video?
Command A Translate accepts text; Command A Reasoning accepts text; GPT-5-Codex accepts text and images. GPT-5-Codex handles the widest range of inputs.
Are any of these open source?
Command A Translate and Command A Reasoning publishes its weights and can be self-hosted; GPT-5-Codex is proprietary.
Which is newer?
GPT-5-Codex is the newest, released Sep 15, 2025. Command A Translate came out Aug 28, 2025; Command A Reasoning came out Aug 21, 2025. Knowledge cutoff: Command A Translate Jun 1, 2024, Command A Reasoning Jun 1, 2024, GPT-5-Codex Sep 30, 2024.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.
