GPT-4 Turbo (OpenAI) and GPT-4o (2024-08-06) (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 18 October 2026
As of 18 October 2026, GPT-4o (2024-08-06) holds the stronger ModelCap Index position (#185 vs #204); and GPT-4o (2024-08-06) is 3× cheaper per output token ($10.00/1M vs $30.00/1M).
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-4o (2024-08-06)
Public benchmark boards where GPT-4 Turbo or GPT-4o (2024-08-06) has a published result
GPT-4 Turbo vs GPT-4o (2024-08-06): common questions
Is GPT-4 Turbo better than GPT-4o (2024-08-06)?
GPT-4o (2024-08-06) ranks higher on the ModelCap Index as of 18 October 2026: #185 against #204. 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-4o (2024-08-06)?
GPT-4o (2024-08-06) is cheaper on output tokens: $10.00/1M against $30.00/1M. Input tokens are $10.00/1M for GPT-4 Turbo and $2.50/1M for GPT-4o (2024-08-06). 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 $35.00 for GPT-4 Turbo versus $10.00 for GPT-4o (2024-08-06). GPT-4o (2024-08-06) costs 71.4% 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-4 Turbo or GPT-4o (2024-08-06)?
Both publish a 128K-token context window. 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-4o (2024-08-06)?
Are GPT-4 Turbo and GPT-4o (2024-08-06) open-weight models?
GPT-4 Turbo: No linked weights. GPT-4o (2024-08-06): No linked 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-4o (2024-08-06)?
ModelCap currently lists 1 API provider for GPT-4 Turbo and 2 for GPT-4o (2024-08-06), 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-4o (2024-08-06) comparison?
Every figure and ModelCap Index position comes from the same published snapshot dated 18 October 2026. Publication and page updates happen separately; use the snapshot date shown on the page.