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 4 Scout

Meta

Llama 4 Scout is a multimodal language model developed by Meta. It achieves strong performance with an average score of 67.3% across 12 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (90.6%), ChartQA (88.8%). The model shows particular specialization in vision tasks with an average performance of 81.9%. With a 20.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.

Meta

Llama 4 Scout

Meta

2025-04-05

Mistral AI

Devstral Medium

Mistral AI

2025-07-10

3 months newer

Pricing Comparison

Cost per million tokens (USD)

Mistral AI

Devstral Medium

Input:$0.40
Output:$2.00
Meta

Llama 4 Scout

$2.02 cheaper
Input:$0.08
Output:$0.30

Performance Metrics

Context window and performance specifications

Mistral AI

Devstral Medium

Max Context:256.0K
Meta

Llama 4 Scout

Larger context
Max Context:20.0M
Parameters:109.0B

Performance comparison across key benchmark categories

Mistral AI

Devstral Medium

general
61.6%
Meta

Llama 4 Scout

general
+4.7%
66.3%

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 4 Scout

6 providers

Together

Throughput: 106.9 tok/s
Latency: 0.54ms

DeepInfra

Throughput: 76.1 tok/s
Latency: 0.31ms

Fireworks

Throughput: 116.1 tok/s
Latency: 0.53ms

Groq

Throughput: 776.1 tok/s
Latency: 1.08ms

Novita

Throughput: 69.82 tok/s
Latency: 0.85ms

Lambda

Throughput: 139.7 tok/s
Latency: 0.43ms
Mistral AI

Devstral Medium

Avg Score:0.0%
Providers:1
Meta

Llama 4 Scout

Avg Score:0.0%
Providers:6