GPT-4 Turbo Intelligence, Performance & Price Analysis
Model summary
Intelligence
Speed
Input Price
USD per 1M tokens
Output Price
Verbosity
GPT-4 Turbo is among the least intelligent models and particularly expensive when comparing to other non-reasoning models of similar price. The model supports image input, and has a 128k tokens context window with knowledge up to December 2023.
GPT-4 Turbo scores 14 on the Artificial Analysis Intelligence Index, placing it at the lower end among comparable models (averaging 24).
Pricing for GPT-4 Turbo is $10.00 per 1M input tokens (expensive, average: $2.00) and $30.00 per 1M output tokens (expensive, average: $8.00).
At 30 tokens per second, GPT-4 Turbo is notably slow (55).
| Reasoning | No This page shows the non-reasoning version of this model. A reasoning variant may also exist. |
|---|---|
| Input modality | Supports: image This information is still being updated |
| Output modality | This information is still being updated |
| Knowledge cutoff | Dec 1, 2023 |
| Context window | 128k ~192 A4 pages of size 12 Arial font |
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
- Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
- <$0.15 per 1M tokens
- $0.15–$1 per 1M tokens
- >$1 per 1M tokens
Highlights
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Agentic real-world work tasks, (ELO-500)/2000
Agentic coding & terminal use
Agentic tool use
Long context reasoning
Knowledge
1 - hallucination rate
Reasoning & knowledge
Scientific reasoning
Coding
Instruction following
Physics reasoning
Long-horizon agentic tasks
Visual reasoning
Openness
Artificial Analysis Openness Index: Results
Intelligence Index Comparisons
Intelligence vs. Price
Intelligence Index Token Use & Cost
Output Tokens Used to Run Artificial Analysis Intelligence Index
Cost to Run Artificial Analysis Intelligence Index
Context Window
Context Window
Pricing
Pricing now includes a “Cache Hit Price” alongside Input and Output pricing, with new blend ratios.
Pricing: Cache Hit, Input, and Output
Speed
Measured by Output Speed (tokens per second)
Output Speed
Output Speed vs. Price
Latency
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time
Seconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Model Size (Open Weights Models Only)
Model Size: Total and Active Parameters
Frequently Asked Questions
Common questions about GPT-4 Turbo
GPT-4 Turbo was released on November 6, 2023.
GPT-4 Turbo was created by OpenAI.
GPT-4 Turbo scores 14 (estimated) on the Artificial Analysis Intelligence Index, placing it at the lower end among other non-reasoning models in a similar price tier (median: 24).
GPT-4 Turbo generates output at 30.1 tokens per second (based on OpenAI's API), which is at the lower end compared to other non-reasoning models in a similar price tier (median: 55.0 t/s).
GPT-4 Turbo has a time to first token (TTFT) of 2.90s (based on OpenAI's API), which is at the higher end compared to other non-reasoning models in a similar price tier (median: 1.66s).
GPT-4 Turbo costs $10.00 per 1M input tokens (at the higher end, median: $2.00) and $30.00 per 1M output tokens (at the higher end, median: $8.00), based on OpenAI's API.
GPT-4 Turbo costs $10.00 per 1M input tokens and $30.00 per 1M output tokens (based on OpenAI's API). For a blended rate (3:1 input to output ratio), this is $15.00 per 1M tokens. Pricing may vary by provider. Compare provider pricing
No, GPT-4 Turbo is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
GPT-4 Turbo supports image input.
GPT-4 Turbo supports text only output.
Yes, GPT-4 Turbo supports image input and can analyze, describe, and answer questions about images.
No, GPT-4 Turbo is not multimodal. It only supports image input.
GPT-4 Turbo has a context window of 130k tokens. This determines how much text and conversation history the model can process in a single request.
No, GPT-4 Turbo is proprietary. The model weights are not publicly available.
GPT-4 Turbo is a proprietary model and OpenAI has not disclosed the model size or parameter count.
GPT-4 Turbo achieves a score of 14 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
GPT-4 Turbo has a knowledge cutoff of December 2023. The model's training data includes information up to this date.
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