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.

xAI

Grok-2

xAI

Grok-2 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 76.5% across 8 benchmarks. It excels particularly in DocVQA (93.6%), HumanEval (88.4%), MMLU (87.5%). It supports a 136K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents xAI's latest advancement in AI technology.

xAI

Grok-2

xAI

2024-08-13

Mistral AI

Devstral Medium

Mistral AI

2025-07-10

11 months newer

Pricing Comparison

Cost per million tokens (USD)

Mistral AI

Devstral Medium

$9.60 cheaper
Input:$0.40
Output:$2.00
xAI

Grok-2

Input:$2.00
Output:$10.00

Performance Metrics

Context window and performance specifications

Mistral AI

Devstral Medium

Larger context
Max Context:256.0K
xAI

Grok-2

Max Context:136.0K

Performance comparison across key benchmark categories

Mistral AI

Devstral Medium

general
61.6%
xAI

Grok-2

general
+11.4%
73.0%

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
xAI

Grok-2

1 providers

xAI

Throughput: 85 tok/s
Latency: 0.7ms
Mistral AI

Devstral Medium

Avg Score:0.0%
Providers:1
xAI

Grok-2

Avg Score:0.0%
Providers:1