Gemini 2.5 Pro vs gpt-oss-120b
Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.
Google · Mar 2025
Google's 2025 workhorse flagship — first mainstream thinking model with a 1M context, still widely deployed.
OpenAI · Aug 2025
OpenAI's open-weights MoE reasoning model under Apache 2.0 — near o4-mini quality, runnable on a single 80GB GPU.
The verdict
Gemini 2.5 Pro wins 2 of the 3 benchmarks these models share, against 1 for gpt-oss-120b. On price the gap is dramatic: gpt-oss-120b works out roughly 17x cheaper per blended million tokens. Gemini 2.5 Pro also takes 1.0M of context versus 131K for gpt-oss-120b. And gpt-oss-120b is open-weights (Apache 2.0), so it can be self-hosted — a structural advantage if data control or vendor independence matters.
Benchmark head-to-head 2–1
Specs & pricing
| Gemini 2.5 Pro | gpt-oss-120b | |
|---|---|---|
| modhub Index | 70.9 | — |
| Input price / 1M | $1.25 | $0.1 |
| Output price / 1M | $10 | $0.5 |
| Context window | 1.0M | 131K |
| Max output | 66K | 131K |
| Open weights | no | yes (Apache 2.0) |
| Reasoning model | yes | yes |
| Multimodal input | text, image, audio, video | text |
| Knowledge cutoff | Jan 2025 | Jun 2024 |
| Released | Mar 2025 | Aug 2025 |
| Example monthly cost* | $27.50 | $1.75 |
* 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-oss-120b?
- Gemini 2.5 Pro wins 2 of the 3 benchmarks these models share, against 1 for gpt-oss-120b. On price the gap is dramatic: gpt-oss-120b works out roughly 17x cheaper per blended million tokens. Gemini 2.5 Pro also takes 1.0M of context versus 131K for gpt-oss-120b. And gpt-oss-120b is open-weights (Apache 2.0), so it can be self-hosted — a structural advantage if data control or vendor independence matters.
- Which is cheaper, Gemini 2.5 Pro or gpt-oss-120b?
- Gemini 2.5 Pro costs $1.25/$10 per million input/output tokens, while gpt-oss-120b costs $0.1/$0.5. For a typical workload of 10M input and 1.5M output tokens per month, that's $27.50 versus $1.75.
- Which model is better for coding, Gemini 2.5 Pro or gpt-oss-120b?
- We don't yet track SWE-bench Verified results for both models; check their individual pages for coding-related scores.