Quick answer: GPT-4 Turbo (API: gpt-4-turbo-2024-04-09) is OpenAI's April 2024 flagship — the last major GPT-4 release before GPT-4o. It scores 97.0% on GSM8K, 86.4% on MMLU, 9.32/10 on MT-Bench, and 28.7% on LiveCodeBench. With a 128K context window at $10/$30 per 1M tokens, it was state-of-the-art at launch but has since been superseded by GPT-4o and GPT-5.x.
Where GPT-4 Turbo leads
Where it lags
Best for: Legacy production integrations validated on gpt-4-turbo-2024-04-09; tasks where the specific model version is contractually or compliance-required.
GPT-4 Turbo (gpt-4-turbo-2024-04-09) was OpenAI's highest-capability model from November 2023 through May 2024, when GPT-4o was released. It introduced a 128K context window (4× the 32K limit of GPT-4), vision support, and improved instruction following over the original GPT-4.
The April 2024 version (gpt-4-turbo-2024-04-09) was notable for achieving near-human performance on MT-Bench (9.32/10) and was widely used as a baseline for LLM evaluation. Its MMLU score of 86.4% and GSM8K score of 97.0% were considered frontier results at launch.
For teams still using GPT-4 Turbo, migration to GPT-4o or GPT-4.1 is strongly recommended: both offer better performance at substantially lower cost. GPT-4.1 specifically provides a 1M context window, better benchmark scores, and costs $2/$8 vs GPT-4 Turbo's $10/$30 per 1M tokens.
| Field | Value |
|---|---|
| Organization | OpenAI |
| Parameters | Undisclosed |
| Context window | 128,000 tokens |
| Max output | 4,096 tokens |
| API model ID | gpt-4-turbo-2024-04-09 |
| License | Proprietary (API only) |
| Release date | April 9, 2024 |
| Knowledge cutoff | December 2023 |
| Modality | Text + Vision (multimodal) |
| Input (per 1M tokens) | Output (per 1M tokens) | |
|---|---|---|
| OpenAI API | $10.00 | $30.00 |
Pricing per OpenAI pricing page. Note: GPT-4.1 provides better performance at $2/$8 per 1M.
GPT-4 Turbo has a 128,000-token context window — roughly 90 pages of text in a single request. This is sufficient for most document tasks but is significantly smaller than GPT-4.1 (1M tokens) or Gemini 2.5 Pro (1M tokens).
| Benchmark | Score | Source | Date |
|---|---|---|---|
| GSM8K | 97.0% | Benchgen evaluation | 2024 |
| MMLU | 86.4% | Benchgen evaluation | 2024 |
| MATH | 72.6% | Benchgen evaluation | 2024 |
| MT-Bench | 9.32 / 10 | Benchgen evaluation | 2024 |
| AlpacaEval 2 | 50.0% | Benchgen evaluation | 2024 |
| LiveCodeBench | 28.7% | Benchgen evaluation | 2024 |
| Model | Context | MMLU | LiveCodeBench | Price (in/out per 1M) |
|---|---|---|---|---|
| GPT-4 Turbo | 128K | 86.4% | 28.7% | $10 / $30 |
| GPT-4.1 | 1M | — | — | $2 / $8 |
| GPT-4o | 128K | — | — | $2.50 / $10 |
| o4-mini | 200K | — | 74.2% | $1.10 / $4.40 |
GPT-4 Turbo is uniformly worse value than its successors: GPT-4.1 offers 5× more context and better scores at 5× lower cost. For any new deployment, GPT-4.1 or GPT-4o is the recommended replacement.
from openai import OpenAI
client = OpenAI(api_key="YOUR_API_KEY")
response = client.chat.completions.create(
model="gpt-4-turbo-2024-04-09",
messages=[{"role": "user", "content": "Summarise this research paper..."}],
)
print(response.choices[0].message.content)Specs and scores sourced from OpenAI's official GPT-4 Turbo announcement (April 2024) and Benchgen evaluations. Pricing cited to the OpenAI pricing page. Last updated 2026-07-24.
This model isn’t on any benchmark leaderboard yet.