Command A Translate vs GPT-5.1 Codex Max vs GPT-5-Codex
Too close to call on our weighted score (GPT-5.1 Codex Max 42, GPT-5-Codex 42, Command A Translate 17). The right pick depends on what you value most.
CohereCommand A Translate
17/100- ECI—
- Price$2.50 / $10.00
- Context8K
OpenAIGPT-5.1 Codex Max
42/100- ECI—
- Price$1.25 / $10.00
- Context400K
- OpenAI
GPT-5-Codex
42/100- ECI—
- Price$1.25 / $10.00
- Context400K
Too close to call
It is close. Our weighted score puts them within a point (GPT-5.1 Codex Max 42/100, GPT-5-Codex 42/100, Command A Translate 17/100), so choose by what matters most for your work: GPT-5.1 Codex Max on price. 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-5.1 Codex Max and GPT-5-CodexGPT-5.1 Codex Max $3.44 · GPT-5-Codex $3.44 · Command A Translate $4.38 per 1M tokens (3:1 blend)
- Longest contextGPT-5.1 Codex Max and GPT-5-CodexGPT-5.1 Codex Max 400,000 · GPT-5-Codex 400,000 · Command A Translate 8,000 tokens
- Widest inputsGPT-5.1 Codex Max and GPT-5-CodexCommand A Translate: Text · GPT-5.1 Codex Max: Text, Images · GPT-5-Codex: Text, Images
- Self-hostingCommand A TranslatePublishes downloadable weights
| Measure | Weight | Command A Translate | GPT-5.1 Codex Max | GPT-5-Codex |
|---|---|---|---|---|
| Price | 50% | 19 | 24 | 24 |
| Inputs & features | 30% | 25 | 70 | 70 |
| Context window | 20% | 0 | 44 | 44 |
| Overall | 100% | 17/100 | 42/100 | 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 | GPT-5.1 Codex MaxOpenAI | GPT-5-CodexOpenAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $2.50 | $1.25 (best) | $1.25 (best) |
| Output | $10.00 | $10.00 | $10.00 |
| Cached input | — | — | — |
| Blended (3:1) | $4.38 | $3.44 (best) | $3.44 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Cohere API | Median of 8 providers | Median of 3 providers |
| Limits | |||
| Context window | 8,000 tokens | 400,000 tokens (best) | 400,000 tokens (best) |
| Max output | 8,000 tokens | 128,000 tokens (best) | 128,000 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | 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 | Yes | Yes |
| Availability | |||
| Weights | Open | Proprietary | Proprietary |
| API model ID | command-a-translate-08-2025 | — | — |
| API providers | 1 | 8 (best) | 3 |
| Released | Aug 28, 2025 | Nov 13, 2025 | Sep 15, 2025 |
| Knowledge cutoff | Jun 1, 2024 | Sep 30, 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
- GPT-5.1 Codex Max$32.50
- GPT-5-Codex$32.50
Which should you choose?
Which is better: Command A Translate, GPT-5.1 Codex Max or GPT-5-Codex?
It is close. Our weighted score puts them within a point (GPT-5.1 Codex Max 42/100, GPT-5-Codex 42/100, Command A Translate 17/100), so choose by what matters most for your work: GPT-5.1 Codex Max on price. 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, GPT-5.1 Codex Max or GPT-5-Codex?
GPT-5.1 Codex Max is cheaper at $1.25 input / $10.00 output per million tokens (median across 8 API providers). GPT-5-Codex costs $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). At a typical mix of three input tokens to one output token, that is $3.44 per million tokens for GPT-5.1 Codex Max versus $3.44 for GPT-5-Codex (1× as much) and $4.38 for Command A Translate (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, GPT-5.1 Codex Max 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, GPT-5.1 Codex Max 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-5.1 Codex Max and GPT-5-Codex have the largest context windows (400,000 and 400,000 tokens), against 8,000 for Command A Translate. Maximum output per response: Command A Translate up to 8,000, GPT-5.1 Codex Max up to 128,000, GPT-5-Codex up to 128,000 tokens.
Which can read images, PDFs, audio or video?
Command A Translate accepts text; GPT-5.1 Codex Max accepts text and images; GPT-5-Codex accepts text and images. GPT-5.1 Codex Max handles the widest range of inputs.
Are any of these open source?
Command A Translate publishes its weights and can be self-hosted; GPT-5.1 Codex Max and GPT-5-Codex is proprietary.
Which is newer?
GPT-5.1 Codex Max is the newest, released Nov 13, 2025. GPT-5-Codex came out Sep 15, 2025; Command A Translate came out Aug 28, 2025. Knowledge cutoff: Command A Translate Jun 1, 2024, GPT-5.1 Codex Max Sep 30, 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.
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