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Model comparison

gpt-oss-20b vs Gemini 2.5 Pro

Short answer

Gemini 2.5 Pro scores higher on 3 of the 4 benchmarks both models report (the other leads on 1); gpt-oss-20b is cheaper on input tokens ($0 vs $1.3 per 1M, 43.1×); Gemini 2.5 Pro has the larger context window (1M vs 131K); gpt-oss-20b ships open weights while Gemini 2.5 Pro is API-only.

Specs and pricing side by side

Specgpt-oss-20bGemini 2.5 Pro
MakerOpenAIGoogle
Released2025-08-052025-03-25
Context window131K1M
Max output131K64K
Input price$0.029 / 1M tokens$1.25 / 1M tokens (prompts ≤200K); $2.50 / 1M tokens (prompts >200K)
Output price$0.14 / 1M tokens$10.00 / 1M tokens (prompts ≤200K); $15.00 / 1M tokens (prompts >200K)
Parameters20.9B total / 3.6B active (MoE)Not disclosed
LicenseApache 2.0Proprietary
WeightsOpen weightsAPI only
ModalitiesTextText, Vision, Audio, Video, PDF
Knowledge cutoffJune 2024January 2025

Benchmarks both models report

Benchmarkgpt-oss-20bGemini 2.5 Pro
GPQA Diamond71.5%84%
AIME 202598.7%86.7%
SWE-bench Verified60.7%63.8%
Humanity's Last Exam17.3%18.8%

Scores are as published by each maker or its cited source; harness, reasoning effort and date can differ between rows, so treat small gaps as ties. Sources are listed on each model page.

Which one should you pick?

Pick gpt-oss-20b if…

  • You care about AIME 2025 (it scores higher on 1 shared benchmark).
  • Cost matters: input tokens cost 43.1× less ($0 vs $1.3 per 1M).
  • You want to self-host or fine-tune (open weights, Apache 2.0).
  • Your use case is: on-device and local reasoning assistants that keep data off the cloud.

Pick Gemini 2.5 Pro if…

  • You care about GPQA Diamond, SWE-bench Verified, Humanity's Last Exam (it scores higher on 3 shared benchmarks).
  • You need the longer context (1M vs 131K).
  • You need Vision / Audio / Video / PDF input, which gpt-oss-20b lacks.
  • Your use case is: complex multi-step reasoning in math, science, and analysis.

FAQ

Which is better, gpt-oss-20b or Gemini 2.5 Pro?

Gemini 2.5 Pro scores higher on 3 of the 4 benchmarks both models report (the other leads on 1); gpt-oss-20b is cheaper on input tokens ($0 vs $1.3 per 1M, 43.1×); Gemini 2.5 Pro has the larger context window (1M vs 131K); gpt-oss-20b ships open weights while Gemini 2.5 Pro is API-only. The better pick depends on whether you value benchmark scores, price per token, context length or openness for your workload.

How much cheaper is gpt-oss-20b?

gpt-oss-20b: $0.029 / 1M tokens input, $0.14 / 1M tokens output. Gemini 2.5 Pro: $1.25 / 1M tokens (prompts ≤200K); $2.50 / 1M tokens (prompts >200K) input, $10.00 / 1M tokens (prompts ≤200K); $15.00 / 1M tokens (prompts >200K) output (list API prices as published by each maker).

What are the context windows of gpt-oss-20b and Gemini 2.5 Pro?

gpt-oss-20b offers 131K with up to 131K output; Gemini 2.5 Pro offers 1M with up to 64K output.

Is gpt-oss-20b newer than Gemini 2.5 Pro?

gpt-oss-20b was released 2025-08-05; Gemini 2.5 Pro was released 2025-03-25.

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