ZMIME
Comparison · 3 models · Updated Oct 4, 2026

GPT-5.3 Codex vs Command A Translate vs Gemini 3.1 Pro Preview

Gemini 3.1 Pro Preview comes out ahead, 52 to 42 and 17 on our weighted score.

  1. OpenAI

    GPT-5.3 Codex

    Released Feb 5, 2026

    42/100
    • ECI156.8
    • Price$1.75 / $14.00
    • Context400K
  2. Cohere

    Command A Translate

    Released Aug 28, 2025

    17/100
    • ECI—
    • Price$2.50 / $10.00
    • Context8K
  3. Our pick

    Google

    Gemini 3.1 Pro Preview

    Released Feb 19, 2026

    52/100
    • ECI154.8
    • Price$2.00 / $12.00
    • Context1.05M
01 — Verdict

Gemini 3.1 Pro Preview is our pick

Gemini 3.1 Pro Preview is the better all-round choice, scoring 52/100 against GPT-5.3 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-5.3 Codex $4.81 per 1M tokens (3:1 blend)
  • Longest contextGemini 3.1 Pro PreviewGemini 3.1 Pro Preview 1,048,576 · GPT-5.3 Codex 400,000 · Command A Translate 8,000 tokens
  • Widest inputsGemini 3.1 Pro PreviewGPT-5.3 Codex: Text, Images, PDFs · Command A Translate: Text · Gemini 3.1 Pro Preview: Text, Images, PDFs, Audio, Video
  • Self-hostingCommand A TranslatePublishes downloadable weights
How the score is built
MeasureWeightGPT-5.3 CodexCommand A TranslateGemini 3.1 Pro Preview
Price50%181919
Inputs & features30%8025100
Context window20%44061
Overall100%42/10017/10052/100

Left out because at least one model lacks the data: capability. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

GPT-5.3 Codex vs Command A Translate vs Gemini 3.1 Pro Preview specifications side by side
SpecificationGPT-5.3 CodexOpenAICommand A TranslateCohereGemini 3.1 Pro PreviewGoogle
Capability
Capabilities Index (ECI)156.8 (best)—154.8
ECI rank#18 of 148 (best)—#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 issues74.8%—75.6% (best)
SimpleQA VerifiedShort factual questions——73.5%
Price per million tokens
Input$1.75 (best)$2.50$2.00
Output$14.00$10.00 (best)$12.00
Cached input$0.175 (best)—$0.20
Blended (3:1)$4.81$4.38 (best)$4.50
Long-context rateSame rateSame rateOver 200K: $4.00 / $18.00
Price sourceOfficial OpenAI APIOfficial Cohere APIOfficial Google API
Limits
Context window400,000 tokens8,000 tokens1,048,576 tokens (best)
Max output128,000 tokens (best)8,000 tokens65,536 tokens
Inputs and features
TextYesYesYes
ImagesYesNoYes
PDFsYesNoYes
AudioNoNoYes
VideoNoNoYes
ReasoningYeslow · medium · high · xhighNoYeslow · medium · high
Tool callingYesYesYes
Structured outputYesNoYes
Availability
WeightsProprietaryOpenProprietary
API model IDgpt-5.3-codexcommand-a-translate-08-2025gemini-3.1-pro-preview
API providers19126 (best)
ReleasedFeb 5, 2026Aug 28, 2025Feb 19, 2026
Knowledge cutoffAug 31, 2025Jun 1, 2024Jan 2025
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • GPT-5.3 Codex$45.50
  • Command A Translate$45.00
  • Gemini 3.1 Pro Preview$44.00
04 — Questions

Which should you choose?

Which is better: GPT-5.3 Codex, Command A Translate or Gemini 3.1 Pro Preview?

Gemini 3.1 Pro Preview is the better all-round choice, scoring 52/100 against GPT-5.3 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-5.3 Codex, Command A Translate or Gemini 3.1 Pro Preview?

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-5.3 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 $4.50 for Gemini 3.1 Pro Preview (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. GPT-5.3 Codex has an ECI of 156.8, Command A Translate has not been scored yet and Gemini 3.1 Pro Preview has an ECI of 154.8.

Which is better for coding?

There are no published SWE-bench Verified results for 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-5.3 Codex and 8,000 for Command A Translate. Maximum output per response: GPT-5.3 Codex up to 128,000, Command A Translate up to 8,000, Gemini 3.1 Pro Preview up to 65,536 tokens.

Which can read images, PDFs, audio or video?

GPT-5.3 Codex accepts text, images and PDFs; Command A Translate accepts text; Gemini 3.1 Pro Preview accepts text, images, PDFs, audio and video. 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-5.3 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-5.3 Codex came out Feb 5, 2026; Command A Translate came out Aug 28, 2025. Knowledge cutoff: GPT-5.3 Codex Aug 31, 2025, Command A Translate Jun 1, 2024, Gemini 3.1 Pro Preview Jan 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.