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.

Meta

Llama 3.2 3B Instruct

Meta

Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.

Meta

Llama 3.2 3B Instruct

Meta

2024-09-25

Mistral AI

Devstral Medium

Mistral AI

2025-07-10

9 months newer

Pricing Comparison

Cost per million tokens (USD)

Mistral AI

Devstral Medium

Input:$0.40
Output:$2.00
Meta

Llama 3.2 3B Instruct

$2.37 cheaper
Input:$0.01
Output:$0.02

Performance Metrics

Context window and performance specifications

Mistral AI

Devstral Medium

Max Context:256.0K
Meta

Llama 3.2 3B Instruct

Max Context:256.0K
Parameters:3.2B

Performance comparison across key benchmark categories

Mistral AI

Devstral Medium

general
+19.1%
61.6%
Meta

Llama 3.2 3B Instruct

general
42.5%

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
Meta

Llama 3.2 3B Instruct

1 providers

DeepInfra

Throughput: 171.5 tok/s
Latency: 0.24ms
Mistral AI

Devstral Medium

Avg Score:0.0%
Providers:1
Meta

Llama 3.2 3B Instruct

Avg Score:0.0%
Providers:1