Model Comparison

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

Google

Gemini 2.5 Flash

Google

Gemini 2.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 14 benchmarks. It excels particularly in Global-MMLU-Lite (88.4%), AIME 2024 (88.0%), FACTS Grounding (85.3%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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 NeMo Instruct

Mistral AI

Mistral NeMo Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 64.3% across 8 benchmarks. It excels particularly in HellaSwag (83.5%), Winogrande (76.8%), TriviaQA (73.8%). The model shows particular specialization in reasoning tasks with an average performance of 80.2%. It supports a 256K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Mistral AI

Mistral NeMo Instruct

Mistral AI

2024-07-18

Google

Gemini 2.5 Flash

Google

2025-05-20

10 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 2.5 Flash

Input:$0.30
Output:$2.50
Mistral AI

Mistral NeMo Instruct

$2.50 cheaper
Input:$0.15
Output:$0.15

Performance Metrics

Context window and performance specifications

Google

Gemini 2.5 Flash

Larger context
Max Context:1.1M
Mistral AI

Mistral NeMo Instruct

Max Context:256.0K
Parameters:12.0B

Performance comparison across key benchmark categories

Google

Gemini 2.5 Flash

factuality
+35.0%
85.3%
general
58.0%
Mistral AI

Mistral NeMo Instruct

factuality
50.3%
general
+2.8%
60.8%
Knowledge Cutoff
Training data recency comparison

Gemini 2.5 Flash

2025-01-31

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

2 providers

Google

Throughput: 85 tok/s
Latency: 0.7ms

ZeroEval

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

Mistral NeMo Instruct

2 providers

Google

Throughput: 42 tok/s
Latency: 0.4ms

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.5ms
Google

Gemini 2.5 Flash

Avg Score:0.0%
Providers:2
Mistral AI

Mistral NeMo Instruct

Avg Score:0.0%
Providers:2