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.

Qwen2.5-Coder 7B Instruct

Alibaba

Qwen2.5-Coder 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 19 benchmarks. It excels particularly in HumanEval (88.4%), GSM8k (83.9%), MBPP (83.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Gemini 1.0 Pro

Google

2024-02-15

Qwen2.5-Coder 7B Instruct

Alibaba

2024-09-19

7 months newer

Performance Metrics

Context window and performance specifications

Gemini 1.0 Pro

Larger context

Max Context:41.0K

Qwen2.5-Coder 7B Instruct

Max Context:-

Parameters:7.0B

Average performance across 2 common benchmarks

Gemini 1.0 Pro

Average Score:52.2%

Qwen2.5-Coder 7B Instruct

+4.9%

Average Score:57.1%

Performance comparison across key benchmark categories

Gemini 1.0 Pro

math

39.6%

general

51.4%

Qwen2.5-Coder 7B Instruct

math

+25.6%

65.3%

general

+0.9%

52.3%

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

Qwen2.5-Coder 7B Instruct

0 providers

Gemini 1.0 Pro

Avg Score:52.2%

Providers:1

Qwen2.5-Coder 7B Instruct

+4.9%

Avg Score:57.1%

Providers:0