Model Comparison

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

Gemini 1.0 Pro

Google

Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google'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.

Gemini 1.0 Pro

Google

2024-02-15

Qwen2 72B Instruct

Alibaba

2024-07-23

5 months newer

Performance Metrics

Context window and performance specifications

Gemini 1.0 Pro

Larger context

Max Context:41.0K

Qwen2 72B Instruct

Max Context:-

Parameters:72.0B

Average performance across 3 common benchmarks

Gemini 1.0 Pro

Average Score:44.1%

Qwen2 72B Instruct

+17.4%

Average Score:61.5%

Performance comparison across key benchmark categories

Gemini 1.0 Pro

math

39.6%

general

51.4%

Qwen2 72B Instruct

math

+35.8%

75.4%

general

+16.5%

67.9%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Gemini 1.0 Pro

2024-02-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Gemini 1.0 Pro

1 providers

Google

Throughput: 120 tok/s

Latency: 0.4ms

Qwen2 72B Instruct

0 providers

Gemini 1.0 Pro

Avg Score:44.1%

Providers:1

Qwen2 72B Instruct

+17.4%

Avg Score:61.5%

Providers:0