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.
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.
| Llama 3.1 Nemotron 70B Instruct | Mistral Large 2 | |
|---|---|---|
Web Site
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Provider
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Chat
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Release Date
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Modalities
| text | text |
API Providers
| OpenRouter | Azure AI, AWS Bedrock, Google AI Studio, Vertex AI, Snowflake Cortex |
Knowledge Cut-off Date
| - | Unknown |
Open Source
| Yes | Yes |
Pricing Input
| $0.35 per million tokens | $3.00 per million tokens |
Pricing Output
| $0.40 per million tokens | $9.00 per million tokens |
MMLU
| 85% 5-shot Source | 84% 5-shot Source |
MMLU-Pro
| Not available | 50.69% Source |
MMMU
| Not available | Not available |
HellaSwag
| Not available | Not available |
HumanEval
| 75% Source | Not available |
MATH
| 71% Source | 1.13% Source |
GPQA
| Not available | 24.94% |
IFEval
| Not available | 84.01% |
SimpleQA
| - | - |
AIME 2024 | - | - |
AIME 2025 | - | - |
Aider Polyglot
| - | - |
LiveCodeBench v5
| - | - |
Global MMLU (Lite)
| - | - |
MathVista
| - | - |
Mobile Application | - | - |
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