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.

Google

Gemini 2.5 Flash-Lite

Google

Gemini 2.5 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in FACTS Grounding (84.1%), Global-MMLU-Lite (81.1%), MMMU (72.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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 2025, it represents Google's latest advancement in AI technology.

Google

Gemini 2.5 Flash-Lite

Google

2025-06-17

Mistral AI

Devstral Small 1.1

Mistral AI

2025-07-11

24 days newer

Pricing Comparison

Cost per million tokens (USD)

Mistral AI

Devstral Small 1.1

$0.10 cheaper
Input:$0.10
Output:$0.30
Google

Gemini 2.5 Flash-Lite

Input:$0.10
Output:$0.40

Performance Metrics

Context window and performance specifications

Mistral AI

Devstral Small 1.1

Max Context:256.0K
Parameters:24.0B
Google

Gemini 2.5 Flash-Lite

Larger context
Max Context:1.1M

Average performance across 1 common benchmarks

Mistral AI

Devstral Small 1.1

+22.0%
Average Score:53.6%
Google

Gemini 2.5 Flash-Lite

Average Score:31.6%

Performance comparison across key benchmark categories

Mistral AI

Devstral Small 1.1

general
+17.8%
53.6%
Google

Gemini 2.5 Flash-Lite

general
35.8%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 2.5 Flash-Lite

2025-01-01

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
Google

Gemini 2.5 Flash-Lite

1 providers

Google

Throughput: 5.69 tok/s
Latency: 0.44ms
Mistral AI

Devstral Small 1.1

+22.0%
Avg Score:53.6%
Providers:1
Google

Gemini 2.5 Flash-Lite

Avg Score:31.6%
Providers:1