GPT-4 Turbo
OpenAI · released Apr 9, 2024
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.
Specification
- Context window
- 128K
- Max output
- 4K
- Knowledge cutoff
- Dec 31, 2023
- Parameters
- Undisclosed
- Licence
- Proprietary
- Serving providers
- 1
- Moderated
- Yes
Intelligence
7.7
26th percentile
Coding
21.5
Coding Index
Agentic
—
Agentic Index
Output speed
25 t/s
Median across providers
Latency
1.03s
Time to first token
Cost per task
$1.25
Estimated
Benchmarks
Where the score comes from
The Intelligence Index is a composite. These are the underlying evaluations this model was actually measured on.
Evaluation scores
Percentage correct · higher is better
- MMLU-Pro69.4%
- SciCode31.9%
- LiveCodeBench29.1%
- AIME 202515.0%
- Humanity's Last Exam3.1%
An evaluation missing from this list was not run for this model — it is not a zero.
View as table
| Evaluation | Score |
|---|---|
| MMLU-Pro | 69.4% |
| SciCode | 31.9% |
| LiveCodeBench | 29.1% |
| AIME 2025 | 15.0% |
| Humanity's Last Exam | 3.1% |
Against its peers
Intelligence Index · this model highlighted, nearest peers in grey
- GPT-4o (2024-05-13)OpenAI8.4
- 8.2
- GPT-4 TurboOpenAI7.7
- Command ACohere7.5
- Nemotron 3 Nano 30B A3BNVIDIA7.2
- Mistral Large 2407Mistral AI7.0
- 6.9
- GLM 4.5VZ.ai6.8
Peers are the models sitting closest on the Intelligence Index — the set you would realistically choose between.
View as table
| Model | Intelligence |
|---|---|
| GPT-4o (2024-05-13) | 8.4 |
| Qwen3 VL 8B Instruct | 8.2 |
| GPT-4 Turbo | 7.7 |
| Command A | 7.5 |
| Nemotron 3 Nano 30B A3B | 7.2 |
| Mistral Large 2407 | 7.0 |
| Qwen2.5 Coder 32B Instruct | 6.9 |
| GLM 4.5V | 6.8 |
Percentile among all indexed models
Pricing
What it costs to run
List prices per million tokens, plus what one representative task works out to.
List price
- Input / 1M tokens
- $10
- Output / 1M tokens
- $30
- Cached input / 1M
- Not offered
- Blended 3:1
- $15
One task, estimated
$1.25
- Input tokens
- 50,000
- Output tokens
- 25,000
- Profile
- Standard
Estimated from list pricing: 50K input tokens plus 80K output tokens for reasoning models (25K for non-reasoning).
Serving providers
Speed and latency figures are medians across these providers, so a widely-served model reports a blend rather than any single endpoint.