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 Nano 8B V1

NVIDIA

Llama 3.1 Nemotron Nano 8B V1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 72.2% across 7 benchmarks. It excels particularly in MATH-500 (95.4%), MBPP (84.6%), MT-Bench (81.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.

NVIDIA

Llama 3.1 Nemotron Nano 8B V1

NVIDIA

2025-03-18

Mistral AI

Devstral Medium

Mistral AI

2025-07-10

3 months newer

Performance Metrics

Context window and performance specifications

Mistral AI

Devstral Medium

Larger context
Max Context:256.0K
NVIDIA

Llama 3.1 Nemotron Nano 8B V1

Max Context:-
Parameters:8.0B

Performance comparison across key benchmark categories

Mistral AI

Devstral Medium

general
+6.7%
61.6%
NVIDIA

Llama 3.1 Nemotron Nano 8B V1

general
54.9%
Knowledge Cutoff
Training data recency comparison

Llama 3.1 Nemotron Nano 8B V1

2023-12-31

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 Nano 8B V1

0 providers
Mistral AI

Devstral Medium

Avg Score:0.0%
Providers:1
NVIDIA

Llama 3.1 Nemotron Nano 8B V1

Avg Score:0.0%
Providers:0