Command A Translate vs GPT-5.2 Codex vs GPT-5.3 Codex
Too close to call on our weighted score (GPT-5.2 Codex 42, GPT-5.3 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-5.2 Codex
42/100- ECI—
- Price$1.75 / $14.00
- Context400K
- OpenAI
GPT-5.3 Codex
42/100- ECI156.8
- Price$1.75 / $14.00
- Context400K
Too close to call
It is close. Our weighted score puts them within a point (GPT-5.2 Codex 42/100, GPT-5.3 Codex 42/100, Command A Translate 17/100), so choose by what matters most for your work: Command A Translate 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 priceCommand A TranslateCommand A Translate $4.38 · GPT-5.2 Codex $4.81 · GPT-5.3 Codex $4.81 per 1M tokens (3:1 blend)
- Longest contextGPT-5.2 Codex and GPT-5.3 CodexGPT-5.2 Codex 400,000 · GPT-5.3 Codex 400,000 · Command A Translate 8,000 tokens
- Widest inputsGPT-5.2 Codex and GPT-5.3 CodexCommand A Translate: Text · GPT-5.2 Codex: Text, Images, PDFs · GPT-5.3 Codex: Text, Images, PDFs
- Self-hostingCommand A TranslatePublishes downloadable weights
| Measure | Weight | Command A Translate | GPT-5.2 Codex | GPT-5.3 Codex |
|---|---|---|---|---|
| Price | 50% | 19 | 18 | 18 |
| Inputs & features | 30% | 25 | 80 | 80 |
| 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-5.2 CodexOpenAI | GPT-5.3 CodexOpenAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | 156.8 |
| ECI rank | — | — | #18 of 148 |
| SWE-bench VerifiedFixing real GitHub issues | — | — | 74.8% |
| Price per million tokens | |||
| Input | $2.50 | $1.75 (best) | $1.75 (best) |
| Output | $10.00 (best) | $14.00 | $14.00 |
| Cached input | — | — | $0.175 |
| Blended (3:1) | $4.38 (best) | $4.81 | $4.81 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Cohere API | Median of 11 providers | Official OpenAI API |
| 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 | Yes | Yes |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | Yes | Yeslow · medium · high · xhigh |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | Yes |
| Availability | |||
| Weights | Open | Proprietary | Proprietary |
| API model ID | command-a-translate-08-2025 | — | gpt-5.3-codex |
| API providers | 1 | 11 | 19 (best) |
| Released | Aug 28, 2025 | Dec 11, 2025 | Feb 5, 2026 |
| Knowledge cutoff | Jun 1, 2024 | Aug 31, 2025 | Aug 31, 2025 |
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-5.2 Codex$45.50
- GPT-5.3 Codex$45.50
Which should you choose?
Which is better: Command A Translate, GPT-5.2 Codex or GPT-5.3 Codex?
It is close. Our weighted score puts them within a point (GPT-5.2 Codex 42/100, GPT-5.3 Codex 42/100, Command A Translate 17/100), so choose by what matters most for your work: Command A Translate 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-5.2 Codex or GPT-5.3 Codex?
Command A Translate is cheaper at $2.50 input / $10.00 output per million tokens (official Cohere API price). GPT-5.2 Codex costs $1.75 input / $14.00 output per million tokens (median across 11 API providers); GPT-5.3 Codex costs $1.75 input / $14.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $4.38 per million tokens for Command A Translate versus $4.81 for GPT-5.2 Codex (1.1× as much) and $4.81 for GPT-5.3 Codex (1.1× 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-5.2 Codex has not been scored yet and GPT-5.3 Codex has an ECI of 156.8.
Which is better for coding?
There are no published SWE-bench Verified results for Command A Translate and GPT-5.2 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-5.2 Codex and GPT-5.3 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-5.2 Codex up to 128,000, GPT-5.3 Codex up to 128,000 tokens.
Which can read images, PDFs, audio or video?
Command A Translate accepts text; GPT-5.2 Codex accepts text, images and PDFs; GPT-5.3 Codex accepts text, images and PDFs. GPT-5.2 Codex handles the widest range of inputs.
Are any of these open source?
Command A Translate publishes its weights and can be self-hosted; GPT-5.2 Codex and GPT-5.3 Codex is proprietary.
Which is newer?
GPT-5.3 Codex is the newest, released Feb 5, 2026. GPT-5.2 Codex came out Dec 11, 2025; Command A Translate came out Aug 28, 2025. Knowledge cutoff: Command A Translate Jun 1, 2024, GPT-5.2 Codex Aug 31, 2025, GPT-5.3 Codex Aug 31, 2025.
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.
