GPT-5.1 Codex Max vs GPT-5.1 Codex vs Gemini 2.5 Computer Use Preview
Too close to call on our weighted score (GPT-5.1 Codex Max 42, GPT-5.1 Codex 42, Gemini 2.5 Computer Use Preview 35). The right pick depends on what you value most.
OpenAIGPT-5.1 Codex Max
42/100- ECI—
- Price$1.25 / $10.00
- Context400K
- OpenAI
GPT-5.1 Codex
42/100- ECI—
- Price$1.25 / $10.00
- Context400K
GoogleGemini 2.5 Computer Use Preview
35/100- ECI—
- Price$1.25 / $10.00
- Context128K
Too close to call
It is close. Our weighted score puts them within a point (GPT-5.1 Codex Max 42/100, GPT-5.1 Codex 42/100, Gemini 2.5 Computer Use Preview 35/100), 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 priceSame priceGPT-5.1 Codex Max $3.44 · GPT-5.1 Codex $3.44 · Gemini 2.5 Computer Use Preview $3.44 per 1M tokens (3:1 blend)
- Longest contextGPT-5.1 Codex Max and GPT-5.1 CodexGPT-5.1 Codex Max 400,000 · GPT-5.1 Codex 400,000 · Gemini 2.5 Computer Use Preview 128,000 tokens
- Widest inputsSame inputsGPT-5.1 Codex Max: Text, Images · GPT-5.1 Codex: Text, Images · Gemini 2.5 Computer Use Preview: Text, Images
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | GPT-5.1 Codex Max | GPT-5.1 Codex | Gemini 2.5 Computer Use Preview |
|---|---|---|---|---|
| Price | 50% | 24 | 24 | 24 |
| Inputs & features | 30% | 70 | 70 | 60 |
| Context window | 20% | 44 | 44 | 24 |
| Overall | 100% | 42/100 | 42/100 | 35/100 |
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-5.1 Codex MaxOpenAI | GPT-5.1 CodexOpenAI | Gemini 2.5 Computer Use PreviewGoogle |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.25 | $1.25 | $1.25 |
| Output | $10.00 | $10.00 | $10.00 |
| Cached input | — | — | — |
| Blended (3:1) | $3.44 | $3.44 | $3.44 |
| Long-context rate | Same rate | Same rate | Over 200K: $2.50 / $15.00 |
| Price source | Median of 8 providers | Median of 10 providers | Official Google API |
| Limits | |||
| Context window | 400,000 tokens (best) | 400,000 tokens (best) | 128,000 tokens |
| Max output | 128,000 tokens (best) | 128,000 tokens (best) | 64,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | — | — | gemini-2.5-computer-use-preview-10-2025 |
| API providers | 8 | 10 (best) | 2 |
| Released | Nov 13, 2025 | Nov 13, 2025 | Oct 7, 2025 |
| Knowledge cutoff | Sep 30, 2024 | Sep 30, 2024 | Jan 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- GPT-5.1 Codex Max$32.50
- GPT-5.1 Codex$32.50
- Gemini 2.5 Computer Use Preview$32.50
Which should you choose?
Which is better: GPT-5.1 Codex Max, GPT-5.1 Codex or Gemini 2.5 Computer Use Preview?
It is close. Our weighted score puts them within a point (GPT-5.1 Codex Max 42/100, GPT-5.1 Codex 42/100, Gemini 2.5 Computer Use Preview 35/100), 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, GPT-5.1 Codex Max, GPT-5.1 Codex or Gemini 2.5 Computer Use Preview?
GPT-5.1 Codex Max, GPT-5.1 Codex and Gemini 2.5 Computer Use Preview cost the same: $1.25 input / $10.00 output per million tokens.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. GPT-5.1 Codex Max has not been scored yet, GPT-5.1 Codex has not been scored yet and Gemini 2.5 Computer Use Preview has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-5.1 Codex Max, GPT-5.1 Codex and Gemini 2.5 Computer Use Preview 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-5.1 Codex have the largest context windows (400,000 and 400,000 tokens), against 128,000 for Gemini 2.5 Computer Use Preview. Maximum output per response: GPT-5.1 Codex Max up to 128,000, GPT-5.1 Codex up to 128,000, Gemini 2.5 Computer Use Preview up to 64,000 tokens.
Which can read images, PDFs, audio or video?
GPT-5.1 Codex Max accepts text and images; GPT-5.1 Codex accepts text and images; Gemini 2.5 Computer Use Preview accepts text and images. They handle the same number of input types.
Are any of these open source?
No. GPT-5.1 Codex Max, GPT-5.1 Codex and Gemini 2.5 Computer Use Preview are proprietary and only available through APIs and apps.
Which is newer?
GPT-5.1 Codex Max is the newest, released Nov 13, 2025. GPT-5.1 Codex came out Nov 13, 2025; Gemini 2.5 Computer Use Preview came out Oct 7, 2025. Knowledge cutoff: GPT-5.1 Codex Max Sep 30, 2024, GPT-5.1 Codex Sep 30, 2024, Gemini 2.5 Computer Use 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.
