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.
Llama 3.3 70B Instruct, created by Meta, is a multilingual large language model specifically fine-tuned for instruction-based tasks and optimized for conversational applications. It is capable of processing and generating text in multiple languages, with a context window supporting up to 128,000 tokens. Launched on December 6, 2024, the model surpasses numerous open-source and proprietary chat models in various industry benchmarks. It utilizes Grouped-Query Attention (GQA) to improve scalability and has been trained on a diverse dataset comprising over 15 trillion tokens from publicly available sources. The model's knowledge is current up to December 2023.
| GPT-4.1 | Llama 3.3 70B Instruct | |
|---|---|---|
Provider | ||
Web Site | ||
Release Date | Apr 14, 2025 2 weeks ago | Dec 06, 2024 4 months ago |
Modalities | text images | text |
API Providers | OpenAI API | Fireworks, Together, DeepInfra, Hyperbolic |
Knowledge Cut-off Date | - | 12.2024 |
Open Source | No | Yes |
Pricing Input | $2.00 per million tokens | $0.23 per million tokens |
Pricing Output | $8.00 per million tokens | $0.40 per million tokens |
MMLU | 90.2% pass@1 Source | 86% 0-shot, CoT Source |
MMLU Pro | - | 68.9% 5-shot, CoT Source |
MMMU | 74.8% Source | Not available |
HellaSwag | - | Not available |
HumanEval | - | 88.4% pass@1 Source |
MATH | - | 77% 0-shot, CoT Source |
GPQA | 66.3% Diamond Source | 50.5% 0-shot, CoT Source |
IFEval | - | 92.1% Source |
Mobile Application | - |
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