Model Comparison

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

Google

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.

Alibaba

QwQ-32B-Preview

Alibaba

QwQ-32B-Preview is a language model developed by Alibaba. It achieves strong performance with an average score of 64.0% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Google

Gemini 1.0 Pro

Google

2024-02-15

Alibaba

QwQ-32B-Preview

Alibaba

2024-11-28

9 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 1.0 Pro

Input:$0.50
Output:$1.50
Alibaba

QwQ-32B-Preview

$1.65 cheaper
Input:$0.15
Output:$0.20

Performance Metrics

Context window and performance specifications

Google

Gemini 1.0 Pro

Max Context:41.0K
Alibaba

QwQ-32B-Preview

Larger context
Max Context:65.5K
Parameters:32.5B

Average performance across 1 common benchmarks

Google

Gemini 1.0 Pro

Average Score:27.9%
Alibaba

QwQ-32B-Preview

+37.3%
Average Score:65.2%

Performance comparison across key benchmark categories

Google

Gemini 1.0 Pro

math
39.6%
general
51.4%
Alibaba

QwQ-32B-Preview

math
+51.0%
90.6%
general
+6.2%
57.6%
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-Preview

2024-11-28

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 1.0 Pro

1 providers

Google

Throughput: 120 tok/s
Latency: 0.4ms
Alibaba

QwQ-32B-Preview

4 providers

Together

Throughput: 62.14 tok/s
Latency: 0.74ms

Hyperbolic

Throughput: 31.9 tok/s
Latency: 1.05ms

DeepInfra

Throughput: 76.04 tok/s
Latency: 0.44ms

Fireworks

Throughput: 99.15 tok/s
Latency: 0.53ms
Google

Gemini 1.0 Pro

Avg Score:27.9%
Providers:1
Alibaba

QwQ-32B-Preview

+37.3%
Avg Score:65.2%
Providers:4