Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Mistral AI

Devstral Medium

Mistral AI

Devstral Medium is a language model developed by Mistral AI. It achieves strong performance with an average score of 61.6% across 1 benchmarks. Notable strengths include SWE-Bench Verified (61.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents Mistral AI's latest advancement in AI technology.

NVIDIA

Llama 3.1 Nemotron 70B Instruct

NVIDIA

Llama 3.1 Nemotron 70B Instruct is a language model developed by NVIDIA. It achieves strong performance with an average score of 67.9% across 11 benchmarks. It excels particularly in GSM8k (91.4%), HellaSwag (85.6%), Winogrande (84.5%). The model shows particular specialization in math tasks with an average performance of 86.7%. Released in 2024, it represents NVIDIA's latest advancement in AI technology.

NVIDIA

Llama 3.1 Nemotron 70B Instruct

NVIDIA

2024-10-01

Mistral AI

Devstral Medium

Mistral AI

2025-07-10

9 months newer

Performance Metrics

Context window and performance specifications

Mistral AI

Devstral Medium

Larger context
Max Context:256.0K
NVIDIA

Llama 3.1 Nemotron 70B Instruct

Max Context:-
Parameters:70.0B

Performance comparison across key benchmark categories

Mistral AI

Devstral Medium

general
61.6%
NVIDIA

Llama 3.1 Nemotron 70B Instruct

general
+2.5%
64.1%
Knowledge Cutoff
Training data recency comparison

Llama 3.1 Nemotron 70B Instruct

2023-12-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Mistral AI

Devstral Medium

1 providers

Mistral AI

Throughput: 137.1 tok/s
Latency: 0.23ms
NVIDIA

Llama 3.1 Nemotron 70B Instruct

0 providers
Mistral AI

Devstral Medium

Avg Score:0.0%
Providers:1
NVIDIA

Llama 3.1 Nemotron 70B Instruct

Avg Score:0.0%
Providers:0