OpenAI's 128K-context GPT-4 generation with vision input, JSON mode, and reproducible outputs via seed — now a legacy model.
Output Speed *
Intelligence Index *
Context Window *
Input price
Output price
Performance
Where GPT-4 Turbo Still Holds Up — and Where It Doesn't
Benchmarks
GPT-4 Turbo Benchmarks: Intelligence and Speed in 2026 Context
Output Speed
Intelligence Index
MMLU *
GPQA *
HLE *
LiveCodeBench *
Technical Specifications
What the model supports
Quickstart
import requests
url = "https://api.anyapi.ai/v1/chat/completions"
payload = {
"model": "gpt-4-turbo",
"messages": [
{
"role": "user",
"content": "Hello"
}
]
}
headers = {
"Authorization": "Bearer AnyAPI_API_KEY",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.json())
const url = 'https://api.anyapi.ai/v1/chat/completions';
const options = {
method: 'POST',
headers: {Authorization: 'Bearer AnyAPI_API_KEY', 'Content-Type': 'application/json'},
body: '{"model":"gpt-4-turbo","messages":[{"role":"user","content":"Hello"}]}'
};
try {
const response = await fetch(url, options);
const data = await response.json();
console.log(data);
} catch (error) {
console.error(error);
}curl --request POST \
--url https://api.anyapi.ai/v1/chat/completions \
--header 'Authorization: Bearer AnyAPI_API_KEY' \
--header 'Content-Type: application/json' \
--data '{
"model": "gpt-4-turbo",
"messages": [
{
"role": "user",
"content": "Hello"
}
]
}'
Comparison
GPT-4 Turbo vs GPT-4o: What Actually Changes?
GPT-4o is GPT-4 Turbo's direct successor and OpenAI's recommended replacement. Both are proprietary, non-reasoning models with a 128K-context window that accept text and image input and return text. The practical decision is rarely close: GPT-4o scores higher on MMLU (88.7% vs roughly 86.5%), generates tokens several times faster, offers a larger 16,384-token output ceiling, and costs less per token. GPT-4o also adds native audio handling. For most teams, the only reason to stay on GPT-4 Turbo is an existing integration validated against its specific outputs.
Choose GPT-4 Turbo when you are maintaining a production system already tuned to its exact behavior, depend on reproducibility patterns established on this model, or face compliance constraints that pin you to a specific version. Choose GPT-4o for essentially all new work: it is faster, more capable on general and coding benchmarks, cheaper, supports longer outputs and additional modalities. If you are code-generation heavy or latency-sensitive, the gap strongly favors GPT-4o.
Limitations & Trade-offs
Best-Fit Workloads
Where this model earns its place
Long-document analysis and summarization
The 128K-context window lets GPT-4 Turbo ingest lengthy contracts, transcripts, or research in a single request, and its strong instruction following supports reliable extraction and summarization. Because output is capped at 4,096 tokens, it fits read-heavy tasks that condense large inputs into shorter outputs better than tasks demanding long generated responses.
Vision-assisted text tasks
GPT-4 Turbo accepts image input alongside text and returns text, supporting chart interpretation, document understanding, and image-grounded Q&A. Vision requests can also use JSON mode and function calling, enabling structured extraction from visual content. Note it handles images only — no audio or video — so multimodal pipelines needing those should look to newer models.
Deterministic, structured API outputs
JSON mode plus the seed parameter for reproducible outputs make GPT-4 Turbo useful where consistent, machine-readable responses matter, such as classification, data enrichment, or autocomplete-style features. Parallel function calling supports tool-driven workflows. Full determinism is not guaranteed across all conditions, so validate reproducibility for your specific prompts.
Maintaining existing GPT-4 Turbo integrations
For production systems already tuned, prompt-engineered, and validated against GPT-4 Turbo's exact behavior, continuing on this model avoids re-validation risk. This is its strongest remaining justification. For any new build, however, GPT-4o or newer models offer better quality, speed, and cost, so treat this as a maintenance rather than growth choice.