GPT-4.1 Nano, launched by OpenAI on April 14, 2025, is the company's fastest and most affordable model to date. Designed for low-latency tasks such as classification, autocomplete, and fast inference scenarios, it combines compact architecture with robust capabilities. Despite its size, it supports an impressive 1 million token context window and delivers strong benchmark results, achieving 80.1% on MMLU and 50.3% on GPQA. With a knowledge cutoff of June 2024, GPT-4.1 Nano offers exceptional value at just $0.10 per million input tokens and $0.40 per million output tokens, with a 75% discount applied to cached inputs, making it ideal for high-volume, cost-sensitive deployments.
Mistral Large 2, developed by Mistral, offers a 128K-token context window and is priced at $3.00 per million input tokens and $9.00 per million output tokens. Released on July 24, 2024, the model scored 84.0 on the MMLU benchmark in a 5-shot evaluation, demonstrating strong performance in diverse tasks.
| GPT-4.1 Nano | Mistral Large 2 | |
|---|---|---|
Web Site
| ||
Provider
| ||
Chat
| ||
Release Date
| ||
Modalities
| text images | text |
API Providers
| OpenAI API | Azure AI, AWS Bedrock, Google AI Studio, Vertex AI, Snowflake Cortex |
Knowledge Cut-off Date
| - | Unknown |
Open Source
| No | Yes |
Pricing Input
| $0.10 per million tokens | $3.00 per million tokens |
Pricing Output
| $0.40 per million tokens | $9.00 per million tokens |
MMLU
| 80.1% Source | 84% 5-shot Source |
MMLU-Pro
| - | 50.69% Source |
MMMU
| 55.4% Source | Not available |
HellaSwag
| - | Not available |
HumanEval
| - | Not available |
MATH
| - | 1.13% Source |
GPQA
| 50.3% Diamond Source | 24.94% |
IFEval
| 74.5% Source | 84.01% |
SimpleQA
| - | - |
AIME 2024 | 29.4% Source | - |
AIME 2025 | - | - |
Aider Polyglot
| - | - |
LiveCodeBench v5
| - | - |
Global MMLU (Lite)
| 66.9% Source | - |
MathVista
| 56.2% Image Reasoning Source | - |
Mobile Application | - |
Compare AI. Test. Benchmarks. Mobile Apps Chatbots, Sketch
Copyright © 2025 All Right Reserved.