GPT-4 Turbo (OpenAI) 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 7 November 2026
As of 7 November 2026, GPT-4 Turbo holds the stronger ModelCap Index position (#226 vs #228); gpt-oss-20b is 115.4× cheaper per output token ($0.13/1M vs $15.00/1M); gpt-oss-20b offers the longer context window (131K vs 128K tokens); and gpt-oss-20b ships open weights.
Evidence: 2 public benchmark observations across 2 boards · 2 public benchmark observations across 2 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.
Benchmark scores: GPT-4 Turbo vs gpt-oss-20b
Public benchmark boards where GPT-4 Turbo or gpt-oss-20b has a published result
GPT-4 Turbo ranks higher on the ModelCap Index as of 7 November 2026: #226 against #228. 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-4 Turbo cheaper than gpt-oss-20b?
gpt-oss-20b is cheaper on output tokens: $0.13/1M against $15.00/1M. Input tokens are $5.00/1M for GPT-4 Turbo 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 $17.50 for GPT-4 Turbo versus $0.13 for gpt-oss-20b. gpt-oss-20b costs 99.3% 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-4 Turbo or gpt-oss-20b?
gpt-oss-20b has the larger context window: 131K tokens against 128K. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified.
Which is better for coding, GPT-4 Turbo or gpt-oss-20b?
Are GPT-4 Turbo and gpt-oss-20b open-weight models?
GPT-4 Turbo: No linked weights. gpt-oss-20b: Open weights. Open weights mean the checkpoint can be downloaded and self-hosted under its licence. A missing weight link does not identify every API or chat product that offers a model.
Where can I run GPT-4 Turbo and gpt-oss-20b?
ModelCap currently lists 1 API provider for GPT-4 Turbo and 10 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 GPT-4 Turbo vs gpt-oss-20b comparison?
Every figure and ModelCap Index position comes from the same published snapshot dated 7 November 2026. Publication and page updates happen separately; use the snapshot date shown on the page.