Model Comparison

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

Mistral AI

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.

Microsoft

Phi-4-multimodal-instruct

Microsoft

Phi-4-multimodal-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 72.0% across 15 benchmarks. It excels particularly in ScienceQA Visual (97.5%), DocVQA (93.2%), MMBench (86.7%). The model shows particular specialization in general tasks with an average performance of 75.8%. It supports a 256K 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

Microsoft

Phi-4-multimodal-instruct

Microsoft

2025-02-01

Mistral AI

Devstral Small 1.1

Mistral AI

2025-07-11

5 months newer

Pricing Comparison

Cost per million tokens (USD)

Mistral AI

Devstral Small 1.1

Input:$0.10
Output:$0.30
Microsoft

Phi-4-multimodal-instruct

$0.25 cheaper
Input:$0.05
Output:$0.10

Performance Metrics

Context window and performance specifications

Mistral AI

Devstral Small 1.1

Max Context:256.0K
Parameters:24.0B
Microsoft

Phi-4-multimodal-instruct

Max Context:256.0K
Parameters:5.6B

Performance comparison across key benchmark categories

Mistral AI

Devstral Small 1.1

general
53.6%
Microsoft

Phi-4-multimodal-instruct

general
+22.2%
75.8%
Knowledge Cutoff
Training data recency comparison

Phi-4-multimodal-instruct

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Mistral AI

Devstral Small 1.1

1 providers

Mistral AI

Throughput: 137.1 tok/s
Latency: 0.23ms
Microsoft

Phi-4-multimodal-instruct

1 providers

DeepInfra

Throughput: 25 tok/s
Latency: 0.5ms
Mistral AI

Devstral Small 1.1

Avg Score:0.0%
Providers:1
Microsoft

Phi-4-multimodal-instruct

Avg Score:0.0%
Providers:1