Model Comparison

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

DeepSeek

DeepSeek VL2 Tiny

DeepSeek

DeepSeek VL2 Tiny is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 63.1% across 14 benchmarks. It excels particularly in DocVQA (88.9%), ChartQA (81.0%), OCRBench (80.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents DeepSeek's latest advancement in AI technology.

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.

DeepSeek

DeepSeek VL2 Tiny

DeepSeek

2024-12-13

Mistral AI

Devstral Medium

Mistral AI

2025-07-10

6 months newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek VL2 Tiny

Max Context:-
Parameters:3.0B
Mistral AI

Devstral Medium

Larger context
Max Context:256.0K

Performance comparison across key benchmark categories

DeepSeek

DeepSeek VL2 Tiny

general
+0.9%
62.5%
Mistral AI

Devstral Medium

general
61.6%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek VL2 Tiny

0 providers
Mistral AI

Devstral Medium

1 providers

Mistral AI

Throughput: 137.1 tok/s
Latency: 0.23ms
DeepSeek

DeepSeek VL2 Tiny

Avg Score:0.0%
Providers:0
Mistral AI

Devstral Medium

Avg Score:0.0%
Providers:1