Model Comparison

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

Google

Gemini 1.5 Flash

Google

Gemini 1.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.8% across 22 benchmarks. It excels particularly in XSTest (97.0%), HellaSwag (86.5%), GSM8k (86.2%). 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 2024, it represents Google's latest advancement in AI technology.

Mistral AI

Mistral Large 2

Mistral AI

Mistral Large 2 is a language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 87.6% across 5 benchmarks. It excels particularly in GSM8k (93.0%), HumanEval (92.0%), MT-Bench (86.3%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Google

Gemini 1.5 Flash

Google

2024-05-01

Mistral AI

Mistral Large 2

Mistral AI

2024-07-24

2 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 1.5 Flash

$7.25 cheaper
Input:$0.15
Output:$0.60
Mistral AI

Mistral Large 2

Input:$2.00
Output:$6.00

Performance Metrics

Context window and performance specifications

Google

Gemini 1.5 Flash

Larger context
Max Context:1.1M
Mistral AI

Mistral Large 2

Max Context:256.0K
Parameters:123.0B

Average performance across 3 common benchmarks

Google

Gemini 1.5 Flash

Average Score:79.8%
Mistral AI

Mistral Large 2

+9.9%
Average Score:89.7%

Performance comparison across key benchmark categories

Google

Gemini 1.5 Flash

math
68.9%
code
67.7%
general
62.7%
Mistral AI

Mistral Large 2

math
+24.1%
93.0%
code
+24.3%
92.0%
general
+20.6%
83.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 1.5 Flash

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 Flash

1 providers

Google

Throughput: 150 tok/s
Latency: 0.3ms
Mistral AI

Mistral Large 2

2 providers

Google

Throughput: 42 tok/s
Latency: 0.4ms

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.5ms
Google

Gemini 1.5 Flash

Avg Score:79.8%
Providers:1
Mistral AI

Mistral Large 2

+9.9%
Avg Score:89.7%
Providers:2