o3 vs Gemini 2.5 Computer Use Preview vs Gemini 2.5 Pro
Gemini 2.5 Pro comes out ahead, 54 to 42 and 35 on our weighted score.
OpenAIo3
42/100- ECI146.9
- Price$2.00 / $8.00
- Context200K
GoogleGemini 2.5 Computer Use Preview
35/100- ECI—
- Price$1.25 / $10.00
- Context128K
- Our pickGoogle
Gemini 2.5 Pro
54/100- ECI145.3
- Price$1.25 / $10.00
- Context1.05M
Gemini 2.5 Pro is our pick
Gemini 2.5 Pro is the better all-round choice, scoring 54/100 against o3 (42) and Gemini 2.5 Computer Use Preview (35). 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 priceGemini 2.5 Computer Use Preview and Gemini 2.5 ProGemini 2.5 Computer Use Preview $3.44 · Gemini 2.5 Pro $3.44 · o3 $3.50 per 1M tokens (3:1 blend)
- Longest contextGemini 2.5 ProGemini 2.5 Pro 1,048,576 · o3 200,000 · Gemini 2.5 Computer Use Preview 128,000 tokens
- Widest inputsGemini 2.5 Proo3: Text, Images, PDFs · Gemini 2.5 Computer Use Preview: Text, Images · Gemini 2.5 Pro: Text, Images, PDFs, Audio, Video
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | o3 | Gemini 2.5 Computer Use Preview | Gemini 2.5 Pro |
|---|---|---|---|---|
| Price | 50% | 24 | 24 | 24 |
| Inputs & features | 30% | 80 | 60 | 100 |
| Context window | 20% | 32 | 24 | 61 |
| Overall | 100% | 42/100 | 35/100 | 54/100 |
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 | o3OpenAI | Gemini 2.5 Computer Use PreviewGoogle | Gemini 2.5 ProGoogle |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 146.9 (best) | — | 145.3 |
| ECI rank | #63 of 148 (best) | — | #78 of 148 |
| GPQA DiamondGraduate-level science questions | 81.8% | — | 85.3% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | 33.3% (best) | — | 24.6% |
| OTIS Mock AIME 2024–2025Competition mathematics | 84.4% | — | 84.7% (best) |
| SWE-bench VerifiedFixing real GitHub issues | 62.3% (best) | — | 57.6% |
| SimpleQA VerifiedShort factual questions | 49.4% | — | — |
| Price per million tokens | |||
| Input | $2.00 | $1.25 (best) | $1.25 (best) |
| Output | $8.00 (best) | $10.00 | $10.00 |
| Cached input | $0.50 | — | $0.125 (best) |
| Blended (3:1) | $3.50 | $3.44 (best) | $3.44 (best) |
| Long-context rate | Same rate | Over 200K: $2.50 / $15.00 | Over 200K: $2.50 / $15.00 |
| Price source | Official OpenAI API | Official Google API | Official Google API |
| Limits | |||
| Context window | 200,000 tokens | 128,000 tokens | 1,048,576 tokens (best) |
| Max output | 100,000 tokens (best) | 64,000 tokens | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | No | Yes |
| Audio | No | No | Yes |
| Video | No | No | Yes |
| Reasoning | Yeslow · medium · high | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | o3 | gemini-2.5-computer-use-preview-10-2025 | gemini-2.5-pro |
| API providers | 18 | 2 | 22 (best) |
| Released | Apr 16, 2025 | Oct 7, 2025 | Jun 17, 2025 |
| Knowledge cutoff | May 2024 | Jan 2025 | 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.
- o3$36.00
- Gemini 2.5 Computer Use Preview$32.50
- Gemini 2.5 Pro$32.50
Which should you choose?
Which is better: o3, Gemini 2.5 Computer Use Preview or Gemini 2.5 Pro?
Gemini 2.5 Pro is the better all-round choice, scoring 54/100 against o3 (42) and Gemini 2.5 Computer Use Preview (35). 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, o3, Gemini 2.5 Computer Use Preview or Gemini 2.5 Pro?
Gemini 2.5 Computer Use Preview is cheaper at $1.25 input / $10.00 output per million tokens (official Google API price). Gemini 2.5 Pro costs $1.25 input / $10.00 output per million tokens (official Google API price); o3 costs $2.00 input / $8.00 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 $3.44 for Gemini 2.5 Pro (1× as much) and $3.50 for o3 (1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. o3 has an ECI of 146.9, Gemini 2.5 Computer Use Preview has not been scored yet and Gemini 2.5 Pro has an ECI of 145.3.
Which is better for coding?
There are no published SWE-bench Verified results for 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?
Gemini 2.5 Pro has the largest context window at 1,048,576 tokens, against 200,000 for o3 and 128,000 for Gemini 2.5 Computer Use Preview. Maximum output per response: o3 up to 100,000, Gemini 2.5 Computer Use Preview up to 64,000, Gemini 2.5 Pro up to 65,536 tokens.
Which can read images, PDFs, audio or video?
o3 accepts text, images and PDFs; Gemini 2.5 Computer Use Preview accepts text and images; Gemini 2.5 Pro accepts text, images, PDFs, audio and video. Gemini 2.5 Pro handles the widest range of inputs.
Are any of these open source?
No. o3, Gemini 2.5 Computer Use Preview and Gemini 2.5 Pro are proprietary and only available through APIs and apps.
Which is newer?
Gemini 2.5 Computer Use Preview is the newest, released Oct 7, 2025. Gemini 2.5 Pro came out Jun 17, 2025; o3 came out Apr 16, 2025. Knowledge cutoff: o3 May 2024, Gemini 2.5 Computer Use Preview Jan 2025, Gemini 2.5 Pro 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.
