Gemini 2.5 Pro vs GPT-5-Codex
Gemini 2.5 Pro comes out ahead, 54 to 42 on our weighted score.
- Our pick
Google
Gemini 2.5 Pro
54/100- ECI145.3
- Price$1.25 / $10.00
- Context1.05M
OpenAI
GPT-5-Codex
42/100- ECI—
- Price$1.25 / $10.00
- Context400K
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Make it a three-way comparison.
Gemini 2.5 Pro is our pick
Gemini 2.5 Pro is the better all-round choice, scoring 54/100 against GPT-5-Codex (42). 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 priceSame priceGemini 2.5 Pro $3.44 · GPT-5-Codex $3.44 per 1M tokens (3:1 blend)
- Longest contextGemini 2.5 ProGemini 2.5 Pro 1,048,576 · GPT-5-Codex 400,000 tokens
- Widest inputsGemini 2.5 ProGemini 2.5 Pro: Text, Images, PDFs, Audio, Video · GPT-5-Codex: Text, Images
- Self-hostingNo open weightsBoth are available only through APIs
| Measure | Weight | Gemini 2.5 Pro | GPT-5-Codex |
|---|---|---|---|
| Price | 50% | 24 | 24 |
| Inputs & features | 30% | 100 | 70 |
| Context window | 20% | 61 | 44 |
| Overall | 100% | 54/100 | 42/100 |
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 | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 145.3 | — |
| ECI rank | #78 of 148 | — |
| GPQA DiamondGraduate-level science questions | 85.3% | — |
| FrontierMath Tiers 1–3Research-level mathematics | 24.6% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 84.7% | — |
| SWE-bench VerifiedFixing real GitHub issues | 57.6% | — |
| Price per million tokens | ||
| Input | $1.25 | $1.25 |
| Output | $10.00 | $10.00 |
| Cached input | $0.125 | — |
| Blended (3:1) | $3.44 | $3.44 |
| Long-context rate | Over 200K: $2.50 / $15.00 | Same rate |
| Price source | Official Google API | Median of 3 providers |
| Limits | ||
| Context window | 1,048,576 tokens (best) | 400,000 tokens |
| Max output | 65,536 tokens | 128,000 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | Yes | No |
| Audio | Yes | No |
| Video | Yes | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | Yes | Yes |
| Availability | ||
| Weights | Proprietary | Proprietary |
| API model ID | gemini-2.5-pro | — |
| API providers | 22 (best) | 3 |
| Released | Jun 17, 2025 | Sep 15, 2025 |
| Knowledge cutoff | Jan 2025 | Sep 30, 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Gemini 2.5 Pro$32.50
GPT-5-Codex$32.50
Which should you choose?
Which is better: Gemini 2.5 Pro or GPT-5-Codex?
Gemini 2.5 Pro is the better all-round choice, scoring 54/100 against GPT-5-Codex (42). 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, Gemini 2.5 Pro or GPT-5-Codex?
Gemini 2.5 Pro and GPT-5-Codex cost the same: $1.25 input / $10.00 output per million tokens.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Gemini 2.5 Pro has an ECI of 145.3 and GPT-5-Codex has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-5-Codex yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both 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 400,000 for GPT-5-Codex. Maximum output per response: Gemini 2.5 Pro up to 65,536, GPT-5-Codex up to 128,000 tokens.
Which can read images, PDFs, audio or video?
Gemini 2.5 Pro accepts text, images, PDFs, audio and video; GPT-5-Codex accepts text and images. Gemini 2.5 Pro handles the widest range of inputs.
Are any of these open source?
No. Gemini 2.5 Pro and GPT-5-Codex are proprietary and only available through APIs and apps.
Which is newer?
GPT-5-Codex is the newest, released Sep 15, 2025. Gemini 2.5 Pro came out Jun 17, 2025. Knowledge cutoff: Gemini 2.5 Pro Jan 2025, GPT-5-Codex Sep 30, 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.