Model Comparison

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

Google

Gemini 2.0 Flash-Lite

Google

Gemini 2.0 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in MATH (86.8%), FACTS Grounding (83.6%), Global-MMLU-Lite (78.2%). 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

Pixtral Large

Mistral AI

Pixtral Large is a multimodal language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 80.5% across 7 benchmarks. It excels particularly in AI2D (93.8%), DocVQA (93.3%), ChartQA (88.1%). The model shows particular specialization in general tasks with an average performance of 91.0%. 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. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Mistral AI

Pixtral Large

Mistral AI

2024-11-18

Google

Gemini 2.0 Flash-Lite

Google

2025-02-05

2 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 2.0 Flash-Lite

$7.63 cheaper
Input:$0.07
Output:$0.30
Mistral AI

Pixtral Large

Input:$2.00
Output:$6.00

Performance Metrics

Context window and performance specifications

Google

Gemini 2.0 Flash-Lite

Larger context
Max Context:1.1M
Mistral AI

Pixtral Large

Max Context:256.0K
Parameters:124.0B

Average performance across 1 common benchmarks

Google

Gemini 2.0 Flash-Lite

+4.0%
Average Score:68.0%
Mistral AI

Pixtral Large

Average Score:64.0%

Performance comparison across key benchmark categories

Google

Gemini 2.0 Flash-Lite

general
55.5%
vision
68.0%
math
+1.7%
71.0%
Mistral AI

Pixtral Large

general
+35.5%
91.0%
vision
+11.4%
79.4%
math
69.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 2.0 Flash-Lite

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 2.0 Flash-Lite

1 providers

Google

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

Pixtral Large

1 providers

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.5ms
Google

Gemini 2.0 Flash-Lite

+4.0%
Avg Score:68.0%
Providers:1
Mistral AI

Pixtral Large

Avg Score:64.0%
Providers:1