GPT-4o (2024-08-06) (OpenAI) and gpt-oss-120b (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 24 October 2026
As of 24 October 2026, gpt-oss-120b holds the stronger ModelCap Index position (#163 vs #195); gpt-oss-120b is 16.7× cheaper per output token ($0.60/1M vs $10.00/1M); gpt-oss-120b offers the longer context window (131K vs 128K tokens); and gpt-oss-120b 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-4o (2024-08-06) vs gpt-oss-120b
Public benchmark boards where GPT-4o (2024-08-06) or gpt-oss-120b has a published result
GPT-4o (2024-08-06) vs gpt-oss-120b: common questions
Is GPT-4o (2024-08-06) better than gpt-oss-120b?
gpt-oss-120b ranks higher on the ModelCap Index as of 24 October 2026: #163 against #195. 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-4o (2024-08-06) cheaper than gpt-oss-120b?
gpt-oss-120b is cheaper on output tokens: $0.60/1M against $10.00/1M. Input tokens are $2.50/1M for GPT-4o (2024-08-06) and $0.15/1M for gpt-oss-120b. 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 $10.00 for GPT-4o (2024-08-06) versus $0.60 for gpt-oss-120b. gpt-oss-120b costs 94.0% 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-4o (2024-08-06) or gpt-oss-120b?
gpt-oss-120b 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-4o (2024-08-06) or gpt-oss-120b?
Are GPT-4o (2024-08-06) and gpt-oss-120b open-weight models?
GPT-4o (2024-08-06): No linked weights. gpt-oss-120b: 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-4o (2024-08-06) and gpt-oss-120b?
ModelCap currently lists 2 API providers for GPT-4o (2024-08-06) and 22 for gpt-oss-120b, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.
How current is this GPT-4o (2024-08-06) vs gpt-oss-120b comparison?
Every figure and ModelCap Index position comes from the same published snapshot dated 24 October 2026. Publication and page updates happen separately; use the snapshot date shown on the page.