GPT-5.2 Chat vs Gemini 2.5 Computer Use Preview vs Command A Translate
Too close to call on our weighted score (Gemini 2.5 Computer Use Preview 35, GPT-5.2 Chat 35, Command A Translate 17). The right pick depends on what you value most.
OpenAI
GPT-5.2 Chat
35/100- ECI—
- Price$1.75 / $14.00
- Context128K
Google
Gemini 2.5 Computer Use Preview
35/100- ECI—
- Price$1.25 / $10.00
- Context128K
Cohere
Command A Translate
17/100- ECI—
- Price$2.50 / $10.00
- Context8K
Too close to call
It is close. Our weighted score puts them within a point (Gemini 2.5 Computer Use Preview 35/100, GPT-5.2 Chat 35/100, Command A Translate 17/100), so choose by what matters most for your work: Gemini 2.5 Computer Use Preview 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 priceGemini 2.5 Computer Use PreviewGemini 2.5 Computer Use Preview $3.44 · Command A Translate $4.38 · GPT-5.2 Chat $4.81 per 1M tokens (3:1 blend)
- Longest contextGPT-5.2 Chat and Gemini 2.5 Computer Use PreviewGPT-5.2 Chat 128,000 · Gemini 2.5 Computer Use Preview 128,000 · Command A Translate 8,000 tokens
- Widest inputsGPT-5.2 Chat and Gemini 2.5 Computer Use PreviewGPT-5.2 Chat: Text, Images · Gemini 2.5 Computer Use Preview: Text, Images · Command A Translate: Text
- Self-hostingCommand A TranslatePublishes downloadable weights
| Measure | Weight | GPT-5.2 Chat | Gemini 2.5 Computer Use Preview | Command A Translate |
|---|---|---|---|---|
| Price | 50% | 18 | 24 | 19 |
| Inputs & features | 30% | 70 | 60 | 25 |
| Context window | 20% | 24 | 24 | 0 |
| Overall | 100% | 35/100 | 35/100 | 17/100 |
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 | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.75 | $1.25 (best) | $2.50 |
| Output | $14.00 | $10.00 (best) | $10.00 (best) |
| Cached input | $0.175 | — | — |
| Blended (3:1) | $4.81 | $3.44 (best) | $4.38 |
| Long-context rate | Same rate | Over 200K: $2.50 / $15.00 | Same rate |
| Price source | Official OpenAI API | Official Google API | Official Cohere API |
| Limits | |||
| Context window | 128,000 tokens (best) | 128,000 tokens (best) | 8,000 tokens |
| Max output | 16,384 tokens | 64,000 tokens (best) | 8,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yesmedium | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Open |
| API model ID | gpt-5.2-chat-latest | gemini-2.5-computer-use-preview-10-2025 | command-a-translate-08-2025 |
| API providers | 3 (best) | 2 | 1 |
| Released | Dec 11, 2025 | Oct 7, 2025 | Aug 28, 2025 |
| Knowledge cutoff | Aug 31, 2025 | Jan 2025 | Jun 1, 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
GPT-5.2 Chat$45.50
Gemini 2.5 Computer Use Preview$32.50
Command A Translate$45.00
Which should you choose?
Which is better: GPT-5.2 Chat, Gemini 2.5 Computer Use Preview or Command A Translate?
It is close. Our weighted score puts them within a point (Gemini 2.5 Computer Use Preview 35/100, GPT-5.2 Chat 35/100, Command A Translate 17/100), so choose by what matters most for your work: Gemini 2.5 Computer Use Preview 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, GPT-5.2 Chat, Gemini 2.5 Computer Use Preview or Command A Translate?
Gemini 2.5 Computer Use Preview is cheaper at $1.25 input / $10.00 output per million tokens (official Google API price). Command A Translate costs $2.50 input / $10.00 output per million tokens (official Cohere API price); GPT-5.2 Chat 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 $3.44 per million tokens for Gemini 2.5 Computer Use Preview versus $4.38 for Command A Translate (1.3× as much) and $4.81 for GPT-5.2 Chat (1.4× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. GPT-5.2 Chat has not been scored yet, Gemini 2.5 Computer Use Preview has not been scored yet and Command A Translate has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-5.2 Chat, Gemini 2.5 Computer Use Preview and Command A Translate 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 Chat and Gemini 2.5 Computer Use Preview have the largest context windows (128,000 and 128,000 tokens), against 8,000 for Command A Translate. Maximum output per response: GPT-5.2 Chat up to 16,384, Gemini 2.5 Computer Use Preview up to 64,000, Command A Translate up to 8,000 tokens.
Which can read images, PDFs, audio or video?
GPT-5.2 Chat accepts text and images; Gemini 2.5 Computer Use Preview accepts text and images; Command A Translate accepts text. GPT-5.2 Chat 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 Chat and Gemini 2.5 Computer Use Preview is proprietary.
Which is newer?
GPT-5.2 Chat is the newest, released Dec 11, 2025. Gemini 2.5 Computer Use Preview came out Oct 7, 2025; Command A Translate came out Aug 28, 2025. Knowledge cutoff: GPT-5.2 Chat Aug 31, 2025, Gemini 2.5 Computer Use Preview Jan 2025, Command A Translate Jun 1, 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.