gpt-oss-120b (OpenAI) and o4 Mini (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 22 September 2026
As of 22 September 2026, o4 Mini holds the stronger ModelCap Index position (#107 vs #132); gpt-oss-120b is 7.3× cheaper per output token ($0.60/1M vs $4.40/1M); o4 Mini offers the longer context window (200K vs 131K tokens); and gpt-oss-120b 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: gpt-oss-120b vs o4 Mini
Public benchmark boards where gpt-oss-120b or o4 Mini has a published result
o4 Mini ranks higher on the ModelCap Index as of 22 September 2026: #107 against #132. 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 gpt-oss-120b cheaper than o4 Mini?
gpt-oss-120b is cheaper on output tokens: $0.60/1M against $4.40/1M. Input tokens are $0.15/1M for gpt-oss-120b and $1.10/1M for o4 Mini. 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 $0.60 for gpt-oss-120b versus $4.40 for o4 Mini. gpt-oss-120b costs 86.4% 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, gpt-oss-120b or o4 Mini?
o4 Mini has the larger context window: 200K tokens against 131K.
Which is better for coding, gpt-oss-120b or o4 Mini?
Arena coding: gpt-oss-120b 1391, o4 Mini 1433 — o4 Mini leads. SWE-bench: gpt-oss-120b 26.0%, o4 Mini 45.0% — o4 Mini leads.
Are gpt-oss-120b and o4 Mini open-weight models?
gpt-oss-120b: Open weights. o4 Mini: API only. 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 gpt-oss-120b and o4 Mini?
ModelCap currently lists 20 API providers for gpt-oss-120b and 1 for o4 Mini, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.
How current is this gpt-oss-120b vs o4 Mini comparison?
Every figure comes from the sealed ModelCap dataset published 22 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.