Model Comparison

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

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.

Qwen2 72B Instruct

Alibaba

Qwen2 72B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 73.6% across 17 benchmarks. It excels particularly in GSM8k (91.1%), CMMLU (90.1%), HellaSwag (87.6%). The model shows particular specialization in code tasks with an average performance of 82.3%. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Qwen2 72B Instruct

Alibaba

2024-07-23

Mistral Large 2

Mistral AI

2024-07-24

1 days newer

Performance Metrics

Context window and performance specifications

Mistral Large 2

Larger context

Max Context:256.0K

Parameters:123.0B

Qwen2 72B Instruct

Max Context:-

Parameters:72.0B

Average performance across 3 common benchmarks

Mistral Large 2

+3.2%

Average Score:89.7%

Qwen2 72B Instruct

Average Score:86.5%

Performance comparison across key benchmark categories

Mistral Large 2

math

+17.6%

93.0%

code

+9.8%

92.0%

general

+15.5%

83.4%

Qwen2 72B Instruct

math

75.4%

code

82.3%

general

67.9%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Mistral Large 2

2 providers

Google

Throughput: 42 tok/s

Latency: 0.4ms

Mistral AI

Throughput: 0.1 tok/s

Latency: 0.5ms

Qwen2 72B Instruct

0 providers

Mistral Large 2

+3.2%

Avg Score:89.7%

Providers:2

Qwen2 72B Instruct

Avg Score:86.5%

Providers:0