Model Comparison

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

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.

Mistral AI

Mistral Small

Mistral AI

Mistral Small is a language model developed by Mistral AI. The model is available through 1 API provider. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Mistral AI

Mistral Small

Mistral AI

2024-09-17

Google

Gemini 2.5 Flash-Lite

Google

2025-06-17

9 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 2.5 Flash-Lite

$0.30 cheaper
Input:$0.10
Output:$0.40
Mistral AI

Mistral Small

Input:$0.20
Output:$0.60

Performance Metrics

Context window and performance specifications

Google

Gemini 2.5 Flash-Lite

Larger context
Max Context:1.1M
Mistral AI

Mistral Small

Max Context:65.5K
Parameters:22.0B
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

Google

Gemini 2.5 Flash-Lite

1 providers

Google

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

Mistral Small

1 providers

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.5ms
Google

Gemini 2.5 Flash-Lite

Avg Score:0.0%
Providers:1
Mistral AI

Mistral Small

Avg Score:0.0%
Providers:1