GPT-5.2 Codex vs Gemini 3.1 Pro Preview vs Command A Translate
Gemini 3.1 Pro Preview comes out ahead, 52 to 42 and 17 on our weighted score.
OpenAIGPT-5.2 Codex
42/100- ECI—
- Price$1.75 / $14.00
- Context400K
- Our pick
GoogleGemini 3.1 Pro Preview
52/100- ECI154.8
- Price$2.00 / $12.00
- Context1.05M
CohereCommand A Translate
17/100- ECI—
- Price$2.50 / $10.00
- Context8K
Gemini 3.1 Pro Preview is our pick
Gemini 3.1 Pro Preview is the better all-round choice, scoring 52/100 against GPT-5.2 Codex (42) and Command A Translate (17). It leads on 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 priceCommand A TranslateCommand A Translate $4.38 · Gemini 3.1 Pro Preview $4.50 · GPT-5.2 Codex $4.81 per 1M tokens (3:1 blend)
- Longest contextGemini 3.1 Pro PreviewGemini 3.1 Pro Preview 1,048,576 · GPT-5.2 Codex 400,000 · Command A Translate 8,000 tokens
- Widest inputsGemini 3.1 Pro PreviewGPT-5.2 Codex: Text, Images, PDFs · Gemini 3.1 Pro Preview: Text, Images, PDFs, Audio, Video · Command A Translate: Text
- Self-hostingCommand A TranslatePublishes downloadable weights
| Measure | Weight | GPT-5.2 Codex | Gemini 3.1 Pro Preview | Command A Translate |
|---|---|---|---|---|
| Price | 50% | 18 | 19 | 19 |
| Inputs & features | 30% | 80 | 100 | 25 |
| Context window | 20% | 44 | 61 | 0 |
| Overall | 100% | 42/100 | 52/100 | 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 | GPT-5.2 CodexOpenAI | Gemini 3.1 Pro PreviewGoogle | Command A TranslateCohere |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 154.8 | — |
| ECI rank | — | #31 of 148 | — |
| GPQA DiamondGraduate-level science questions | — | 94.4% | — |
| FrontierMath Tiers 1–3Research-level mathematics | — | 59.7% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 95.6% | — |
| SWE-bench VerifiedFixing real GitHub issues | — | 75.6% | — |
| SimpleQA VerifiedShort factual questions | — | 73.5% | — |
| Price per million tokens | |||
| Input | $1.75 (best) | $2.00 | $2.50 |
| Output | $14.00 | $12.00 | $10.00 (best) |
| Cached input | — | $0.20 | — |
| Blended (3:1) | $4.81 | $4.50 | $4.38 (best) |
| Long-context rate | Same rate | Over 200K: $4.00 / $18.00 | Same rate |
| Price source | Median of 11 providers | Official Google API | Official Cohere API |
| Limits | |||
| Context window | 400,000 tokens | 1,048,576 tokens (best) | 8,000 tokens |
| Max output | 128,000 tokens (best) | 65,536 tokens | 8,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | Yes | Yes | No |
| Audio | No | Yes | No |
| Video | No | Yes | No |
| Reasoning | Yes | Yeslow · medium · high | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Open |
| API model ID | — | gemini-3.1-pro-preview | command-a-translate-08-2025 |
| API providers | 11 | 26 (best) | 1 |
| Released | Dec 11, 2025 | Feb 19, 2026 | 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 Codex$45.50
- Gemini 3.1 Pro Preview$44.00
- Command A Translate$45.00
Which should you choose?
Which is better: GPT-5.2 Codex, Gemini 3.1 Pro Preview or Command A Translate?
Gemini 3.1 Pro Preview is the better all-round choice, scoring 52/100 against GPT-5.2 Codex (42) and Command A Translate (17). It leads on 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, GPT-5.2 Codex, Gemini 3.1 Pro Preview or Command A Translate?
Command A Translate is cheaper at $2.50 input / $10.00 output per million tokens (official Cohere API price). Gemini 3.1 Pro Preview costs $2.00 input / $12.00 output per million tokens (official Google API price); GPT-5.2 Codex costs $1.75 input / $14.00 output per million tokens (median across 11 API providers). At a typical mix of three input tokens to one output token, that is $4.38 per million tokens for Command A Translate versus $4.50 for Gemini 3.1 Pro Preview (1× as much) and $4.81 for GPT-5.2 Codex (1.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. GPT-5.2 Codex has not been scored yet, Gemini 3.1 Pro Preview has an ECI of 154.8 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 Codex 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?
Gemini 3.1 Pro Preview has the largest context window at 1,048,576 tokens, against 400,000 for GPT-5.2 Codex and 8,000 for Command A Translate. Maximum output per response: GPT-5.2 Codex up to 128,000, Gemini 3.1 Pro Preview up to 65,536, Command A Translate up to 8,000 tokens.
Which can read images, PDFs, audio or video?
GPT-5.2 Codex accepts text, images and PDFs; Gemini 3.1 Pro Preview accepts text, images, PDFs, audio and video; Command A Translate accepts text. Gemini 3.1 Pro Preview 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 Gemini 3.1 Pro Preview is proprietary.
Which is newer?
Gemini 3.1 Pro Preview is the newest, released Feb 19, 2026. GPT-5.2 Codex came out Dec 11, 2025; Command A Translate came out Aug 28, 2025. Knowledge cutoff: GPT-5.2 Codex Aug 31, 2025, Gemini 3.1 Pro 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.
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