Model Comparison

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

Google

Gemini 2.0 Flash

Google

Gemini 2.0 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.7% across 13 benchmarks. It excels particularly in Natural2Code (92.9%), MATH (89.7%), FACTS Grounding (83.6%). 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 2024, 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 2.0 Flash

Google

2024-12-01

2 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 2.0 Flash

$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 2.0 Flash

Larger context
Max Context:1.1M
Mistral AI

Mistral Small

Max Context:65.5K
Parameters:22.0B
Knowledge Cutoff
Training data recency comparison

Gemini 2.0 Flash

2024-08-01

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

1 providers

Google

Throughput: 183 tok/s
Latency: 0.4ms
Mistral AI

Mistral Small

1 providers

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.5ms
Google

Gemini 2.0 Flash

Avg Score:0.0%
Providers:1
Mistral AI

Mistral Small

Avg Score:0.0%
Providers:1