Model comparison
GPT-4 vs GPT-4 Turbo
Price history, scores and specs for both models, line by line. Every value shows where it came from and when we last confirmed it.
OpenAI
GPT-4
OpenAI's flagship model, GPT-4 is a large-scale multimodal language model capable of solving difficult problems with greater accuracy than previous models due to its broader.
OpenAI
GPT-4 Turbo
The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to December 2023.
Quick take
Where each one leads
- GPT-4 Turbo costs less to send text to: $5.00 per million tokens, against $30.00 per million tokens for GPT-4.
- GPT-4 Turbo costs less per word it writes: $15.00 per million tokens, against $60.00 per million tokens for GPT-4.
- GPT-4 Turbo reads more at once: 128,000 tokens, against 8,191 tokens.
- GPT-4 Turbo scores higher on the Artificial Analysis Intelligence Index: 7 to 6.7.
- GPT-4 Turbo scores higher on the Artificial Analysis Coding Index: 21.5 to 13.1.
Each line comes from a checked value in the tables below. Pick on your workload: price and usage matter for high volume, context and scores for long documents and agent loops.
Price history
Prices side by side, day by day
- GPT-4
- GPT-4 Turbo
- GPT-4
- GPT-4 Turbo
Prices are the listed OpenRouter base rates in US dollars. A day we could not confirm is left out of the line, never filled in.
Price
What each one costs now
| Measure | GPT-4 | GPT-4 Turbo |
|---|---|---|
| Input price | $30.00 per million tokens | $5.00 per million tokens Leads |
| Output price | $60.00 per million tokens | $15.00 per million tokens Leads |
Scores
Benchmarks, with source and date
| Measure | GPT-4 | GPT-4 Turbo |
|---|---|---|
| Artificial Analysis Intelligence Index | 6.7 | 7 Leads |
| Artificial Analysis Coding Index | 13.1 | 21.5 Leads |
| LMArena text rating (Elo) | 1,206 | 1,272 Leads |
| LMArena vision rating (Elo) | Not checked yet | 1,090 |
Specs
Context, modalities and tool use
| Measure | GPT-4 | GPT-4 Turbo |
|---|---|---|
| Context window | 8,191 tokens | 128,000 tokens Leads |
| Reads | Text | Text, Images |
| Writes | Text | Text |
| Tool calling | Yes | Yes |
| Reasoning mode | No | No |
| Open weights | No | No |
| Listed since | 28 May 2023 | 9 Apr 2024 |
Usage
How much each one is used
| Measure | GPT-4 | GPT-4 Turbo |
|---|---|---|
| Tokens served on OpenRouter in a day | 4.6M (for 10 Nov 2026) | 2.1M (for 23 Oct 2026) |
| Requests on OpenRouter in a day | 4.6K (for 10 Nov 2026) | 2.4K (for 23 Oct 2026) |
| Tool calls on OpenRouter in a day | 195 (for 10 Nov 2026) | 34 (for 23 Oct 2026) |
| Token usage, last 7 days | Up 144% on the week before (for 10 Nov 2026) | Down 19% on the week before (for 23 Oct 2026) |
- GPT-4
- GPT-4 Turbo
How this works
One link, either order
This link stays the same whichever order you name the two models in, so you can share it as it is. A line appears only when at least one model has a value we confirmed from a source; values we have not confirmed are left out, never guessed. To add a third record of any type, use the open comparison. Read how we check facts.