Model Comparison

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

Devstral Small 1.1

Mistral AI

Devstral Small 1.1 is a language model developed by Mistral AI. The model shows competitive results across 1 benchmarks. Notable strengths include SWE-Bench Verified (53.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.

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.

Llama 3.2 3B Instruct

Pricing Comparison

Cost per million tokens (USD)

Devstral Small 1.1

Input:$0.10

Output:$0.30

Llama 3.2 3B Instruct

$0.37 cheaper

Input:$0.01

Output:$0.02

Performance Metrics

Context window and performance specifications

Devstral Small 1.1

Max Context:256.0K

Parameters:24.0B

Llama 3.2 3B Instruct

Max Context:256.0K

Parameters:3.2B

Performance comparison across key benchmark categories

Devstral Small 1.1

general

+11.1%

53.6%

Llama 3.2 3B Instruct

general

42.5%

Provider Availability & Performance

Available providers and their performance metrics

Devstral Small 1.1

1 providers

Mistral AI

Throughput: 137.1 tok/s

Latency: 0.23ms

Llama 3.2 3B Instruct

1 providers

DeepInfra

Throughput: 171.5 tok/s

Latency: 0.24ms

Devstral Small 1.1

Avg Score:0.0%

Providers:1

Llama 3.2 3B Instruct

Avg Score:0.0%

Providers:1