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.

QwQ-32B

Alibaba

QwQ-32B is a language model developed by Alibaba. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Gemini 1.0 Pro

Google

2024-02-15

QwQ-32B

Alibaba

2025-03-05

1 year newer

Performance Metrics

Context window and performance specifications

Gemini 1.0 Pro

Larger context

Max Context:41.0K

QwQ-32B

Max Context:-

Parameters:32.5B

Average performance across 1 common benchmarks

Gemini 1.0 Pro

Average Score:27.9%

QwQ-32B

+37.3%

Average Score:65.2%

Performance comparison across key benchmark categories

Gemini 1.0 Pro

math

39.6%

general

51.4%

QwQ-32B

math

+51.0%

90.6%

general

+19.0%

70.4%

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

QwQ-32B

2024-11-28

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

QwQ-32B

0 providers

Gemini 1.0 Pro

Avg Score:27.9%

Providers:1

QwQ-32B

+37.3%

Avg Score:65.2%

Providers:0