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.
NVIDIA's Llama 3.1 Nemotron 70B is a powerful language model optimized for delivering accurate and informative responses. Built on the Llama 3.1 70B architecture and enhanced with Reinforcement Learning from Human Feedback (RLHF),it achieves top performance in automatic alignment benchmarks. Designed for applications demanding high precision in response generation and helpfulness, this model is well-suited for a wide range of user queries across multiple domains.
| GPT-4.1 | Llama 3.1 Nemotron 70B Instruct | |
|---|---|---|
Web Site
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Provider
| ||
Chat
| ||
Release Date
| ||
Modalities
| text images | text |
API Providers
| OpenAI API | OpenRouter |
Knowledge Cut-off Date
| - | - |
Open Source
| No | Yes |
Pricing Input
| $2.00 per million tokens | $0.35 per million tokens |
Pricing Output
| $8.00 per million tokens | $0.40 per million tokens |
MMLU
| 90.2% pass@1 Source | 85% 5-shot Source |
MMLU-Pro
| - | Not available |
MMMU
| 74.8% Source | Not available |
HellaSwag
| - | Not available |
HumanEval
| - | 75% Source |
MATH
| - | 71% Source |
GPQA
| 66.3% Diamond Source | Not available |
IFEval
| - | Not available |
SimpleQA
| - | - |
AIME 2024 | 48.1% Source | - |
AIME 2025 | - | - |
Aider Polyglot
| - | - |
LiveCodeBench v5
| - | - |
Global MMLU (Lite)
| 87.3% pass@1 Source | - |
MathVista
| - | - |
Mobile Application | - |
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