GPT-4.1, launched by OpenAI on April 14, 2025, introduces a 1 million token context window and supports outputs of up to 32,768 tokens per request. It delivers outstanding performance on coding tasks, achieving 54.6% on the SWE-Bench Verified benchmark, and shows a 10.5% improvement over GPT-4o on MultiChallenge for instruction following. The model's knowledge cutoff is set at June 2024. Pricing is $2.00 per million tokens for input and $8.00 per million tokens for output, with a 75% discount applied to cached inputs, making it highly cost-efficient for repeated queries.
Over the past five months since the release of Qwen2-VL, developers have built new models based on it, contributing valuable feedback. Now, Qwen2.5-VL introduces enhanced capabilities, including precise analysis of images, text, and charts, as well as object localization with structured JSON outputs. It understands long videos, identifies key events, and functions as an agent, interacting with tools on computers and phones. The model's architecture features dynamic video processing and an optimized ViT encoder for improved speed and accuracy.
| GPT-4.1 | Qwen2.5-VL-32B | |
|---|---|---|
Provider | ||
Web Site | ||
Release Date | Apr 14, 2025 1 month ago | Mar 25, 2025 2 months ago |
Modalities | text images | text images video |
API Providers | OpenAI API | - |
Knowledge Cut-off Date | - | Unknown |
Open Source | No | Yes (Source) |
Pricing Input | $2.00 per million tokens | $0 |
Pricing Output | $8.00 per million tokens | $0 |
MMLU | 90.2% pass@1 Source | 78.4% Source |
MMLU Pro | - | 49.5% |
MMMU | 74.8% Source | 70% |
HellaSwag | - | Not available |
HumanEval | - | Not available |
MATH | - | 82.2% |
GPQA | 66.3% Diamond Source | 46.0% Diamond |
IFEval | - | Not available |
Array | - | - |
AIME 2024 | 48.1% Source | - |
AIME 2025 | - | - |
Array | - | - |
Array | - | - |
Array | 87.3% pass@1 Source | - |
Array | - | - |
Mobile Application | - |
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