Gemini 3 Pro vs gpt-oss-120b

Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.

Gemini 3 Pro

Google · Nov 2025

73.6

Google's November 2025 frontier breakout — 91.9% GPQA Diamond and 37.5% HLE made it the reasoning leader of its generation.

gpt-oss-120b

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 3 Pro wins 3 of the 3 benchmarks these models share, against 0 for gpt-oss-120b. On price the gap is dramatic: gpt-oss-120b works out roughly 23x cheaper per blended million tokens. Gemini 3 Pro also takes 1M 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 30

GPQA Diamond
91.9%80.1%
Gemini 3 Progpt-oss-120b
AIME 2025
95%~92.5%
Gemini 3 Progpt-oss-120b
HLE
37.5%19%
Gemini 3 Progpt-oss-120b

Specs & pricing

Gemini 3 Progpt-oss-120b
modhub Index73.6
Input price / 1M$2$0.1
Output price / 1M$12$0.5
Context window1M131K
Max output66K131K
Open weightsnoyes (Apache 2.0)
Reasoning modelyesyes
Multimodal inputtext, image, audio, videotext
Knowledge cutoffJan 2025Jun 2024
ReleasedNov 2025Aug 2025
Example monthly cost*$38.00$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 3 Pro or gpt-oss-120b?
Gemini 3 Pro wins 3 of the 3 benchmarks these models share, against 0 for gpt-oss-120b. On price the gap is dramatic: gpt-oss-120b works out roughly 23x cheaper per blended million tokens. Gemini 3 Pro also takes 1M 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 3 Pro or gpt-oss-120b?
Gemini 3 Pro costs $2/$12 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 $38.00 versus $1.75.
Which model is better for coding, Gemini 3 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.

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