Gemma 3 12B (Google) and gpt-oss-20b (OpenAI) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.
Snapshot as of 9 September 2026
As of 9 September 2026, Gemma 3 12B holds the stronger ModelCap Index position (#133 vs #135); gpt-oss-20b is 1.2× cheaper per output token ($0.13/1M vs $0.15/1M); and gpt-oss-20b ships open weights.
Evidence: 3 public benchmark observations across 3 boards · 3 public benchmark observations across 3 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.
Benchmark scores: Gemma 3 12B vs gpt-oss-20b
Public benchmark boards where Gemma 3 12B or gpt-oss-20b has a published result
Gemma 3 12B ranks higher on the ModelCap Index as of 9 September 2026: #133 against #135. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
Is Gemma 3 12B cheaper than gpt-oss-20b?
gpt-oss-20b is cheaper on output tokens: $0.13/1M against $0.15/1M. Input tokens are $0.05/1M for Gemma 3 12B and $0.03/1M for gpt-oss-20b. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.17 for Gemma 3 12B versus $0.13 for gpt-oss-20b. gpt-oss-20b costs 28.6% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
Which has the bigger context window, Gemma 3 12B or gpt-oss-20b?
Both publish a 131K-token context window.
Which is better for coding, Gemma 3 12B or gpt-oss-20b?
Are Gemma 3 12B and gpt-oss-20b open-weight models?
Gemma 3 12B: Gated access. gpt-oss-20b: Open weights. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.
Where can I run Gemma 3 12B and gpt-oss-20b?
ModelCap currently lists 1 API provider for Gemma 3 12B and 12 for gpt-oss-20b, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.
How current is this Gemma 3 12B vs gpt-oss-20b comparison?
Every figure comes from the sealed ModelCap dataset published 9 September 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.