GPT-5.1 Codex vs GPT-5.1 Codex mini vs Gemini 2.5 Computer Use Preview
GPT-5.1 Codex mini comes out ahead, 59 to 42 and 35 on our weighted score, and it is the cheaper option too.
OpenAIGPT-5.1 Codex
42/100- ECI—
- Price$1.25 / $10.00
- Context400K
- Our pickOpenAI
GPT-5.1 Codex mini
59/100- ECI—
- Price$0.25 / $2.00
- Context400K
GoogleGemini 2.5 Computer Use Preview
35/100- ECI—
- Price$1.25 / $10.00
- Context128K
GPT-5.1 Codex mini is our pick
GPT-5.1 Codex mini is the better all-round choice, scoring 59/100 against GPT-5.1 Codex (42) and Gemini 2.5 Computer Use Preview (35). It leads 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 priceGPT-5.1 Codex miniGPT-5.1 Codex mini $0.688 · 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 and GPT-5.1 Codex miniGPT-5.1 Codex 400,000 · GPT-5.1 Codex mini 400,000 · Gemini 2.5 Computer Use Preview 128,000 tokens
- Widest inputsSame inputsGPT-5.1 Codex: Text, Images · GPT-5.1 Codex mini: 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 | GPT-5.1 Codex mini | Gemini 2.5 Computer Use Preview |
|---|---|---|---|---|
| Price | 50% | 24 | 58 | 24 |
| Inputs & features | 30% | 70 | 70 | 60 |
| Context window | 20% | 44 | 44 | 24 |
| Overall | 100% | 42/100 | 59/100 | 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 CodexOpenAI | GPT-5.1 Codex miniOpenAI | Gemini 2.5 Computer Use PreviewGoogle |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.25 | $0.25 (best) | $1.25 |
| Output | $10.00 | $2.00 (best) | $10.00 |
| Cached input | — | — | — |
| Blended (3:1) | $3.44 | $0.688 (best) | $3.44 |
| Long-context rate | Same rate | Same rate | Over 200K: $2.50 / $15.00 |
| Price source | Median of 10 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 | 10 (best) | 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$32.50
- GPT-5.1 Codex mini$6.50
- Gemini 2.5 Computer Use Preview$32.50
Which should you choose?
Which is better: GPT-5.1 Codex, GPT-5.1 Codex mini or Gemini 2.5 Computer Use Preview?
GPT-5.1 Codex mini is the better all-round choice, scoring 59/100 against GPT-5.1 Codex (42) and Gemini 2.5 Computer Use Preview (35). It leads 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, GPT-5.1 Codex mini or Gemini 2.5 Computer Use Preview?
GPT-5.1 Codex mini is cheaper at $0.25 input / $2.00 output per million tokens (median across 10 API providers). GPT-5.1 Codex costs $1.25 input / $10.00 output per million tokens (median across 10 API providers); Gemini 2.5 Computer Use Preview costs $1.25 input / $10.00 output per million tokens (official Google API price). At a typical mix of three input tokens to one output token, that is $0.688 per million tokens for GPT-5.1 Codex mini versus $3.44 for GPT-5.1 Codex (5× as much) and $3.44 for Gemini 2.5 Computer Use Preview (5× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. GPT-5.1 Codex has not been scored yet, GPT-5.1 Codex mini 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, GPT-5.1 Codex mini 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 and GPT-5.1 Codex mini 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 up to 128,000, GPT-5.1 Codex mini 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 accepts text and images; GPT-5.1 Codex mini 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, GPT-5.1 Codex mini and Gemini 2.5 Computer Use Preview are proprietary and only available through APIs and apps.
Which is newer?
GPT-5.1 Codex is the newest, released Nov 13, 2025. GPT-5.1 Codex mini came out Nov 13, 2025; Gemini 2.5 Computer Use Preview came out Oct 7, 2025. Knowledge cutoff: GPT-5.1 Codex Sep 30, 2024, GPT-5.1 Codex mini 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.
