Gemini 2.5 Pro vs GPT-5.2
Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.
Gemini 2.5 Pro
70.9Google · Mar 2025
Google's 2025 workhorse flagship — first mainstream thinking model with a 1M context, still widely deployed.
GPT-5.2
OpenAI · Dec 2025
The December 2025 GPT-5 refresh: stronger coding and agentic skills than GPT-5.1 at a moderate price, now the value pick in OpenAI's lineup.
The verdict
GPT-5.2 wins 1 of the 1 benchmarks these models share, against 0 for Gemini 2.5 Pro. Gemini 2.5 Pro is about 1.4x cheaper per blended million tokens (3:1 input:output mix). Gemini 2.5 Pro also takes 1.0M of context versus 400K for GPT-5.2.
Benchmark head-to-head 0–1
Specs & pricing
| Gemini 2.5 Pro | GPT-5.2 | |
|---|---|---|
| modhub Index | 70.9 | — |
| Input price / 1M | $1.25 | $1.75 |
| Output price / 1M | $10 | $14 |
| Context window | 1.0M | 400K |
| Max output | 66K | 128K |
| Open weights | no | no |
| Reasoning model | yes | yes |
| Multimodal input | text, image, audio, video | text, image |
| Knowledge cutoff | Jan 2025 | Aug 2025 |
| Released | Mar 2025 | Dec 2025 |
| Example monthly cost* | $27.50 | $38.50 |
* 10M input + 1.5M output tokens per month at list prices, no caching. Green = better value on that row.
Frequently asked questions
- Which is better, Gemini 2.5 Pro or GPT-5.2?
- GPT-5.2 wins 1 of the 1 benchmarks these models share, against 0 for Gemini 2.5 Pro. Gemini 2.5 Pro is about 1.4x cheaper per blended million tokens (3:1 input:output mix). Gemini 2.5 Pro also takes 1.0M of context versus 400K for GPT-5.2.
- Which is cheaper, Gemini 2.5 Pro or GPT-5.2?
- Gemini 2.5 Pro costs $1.25/$10 per million input/output tokens, while GPT-5.2 costs $1.75/$14. For a typical workload of 10M input and 1.5M output tokens per month, that's $27.50 versus $38.50.
- Which model is better for coding, Gemini 2.5 Pro or GPT-5.2?
- On SWE-bench Verified — the standard agentic-coding benchmark — GPT-5.2 scores ~77.9% versus 63.8% for Gemini 2.5 Pro, making GPT-5.2 the stronger pick for coding agents.