Model Comparison

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

Google

Gemini 1.5 Pro

Google

Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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 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.

Google

Gemini 1.5 Pro

Google

2024-05-01

Mistral AI

Mistral NeMo Instruct

Mistral AI

2024-07-18

2 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 1.5 Pro

Input:$2.50
Output:$10.00
Mistral AI

Mistral NeMo Instruct

$12.20 cheaper
Input:$0.15
Output:$0.15

Performance Metrics

Context window and performance specifications

Google

Gemini 1.5 Pro

Larger context
Max Context:2.1M
Mistral AI

Mistral NeMo Instruct

Max Context:256.0K
Parameters:12.0B

Average performance across 2 common benchmarks

Google

Gemini 1.5 Pro

+13.9%
Average Score:89.6%
Mistral AI

Mistral NeMo Instruct

Average Score:75.8%

Performance comparison across key benchmark categories

Google

Gemini 1.5 Pro

reasoning
+13.2%
93.3%
general
+8.1%
68.9%
Mistral AI

Mistral NeMo Instruct

reasoning
80.2%
general
60.8%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 1.5 Pro

2023-11-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 1.5 Pro

1 providers

Google

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 1.5 Pro

+13.9%
Avg Score:89.6%
Providers:1
Mistral AI

Mistral NeMo Instruct

Avg Score:75.8%
Providers:2