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

Qwen2.5-Coder 32B Instruct

Alibaba

Qwen2.5-Coder 32B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 64.9% across 15 benchmarks. It excels particularly in HumanEval (92.7%), GSM8k (91.1%), MBPP (90.2%). The model shows particular specialization in reasoning tasks with an average performance of 78.1%. It supports a 256K token context window for handling large documents. 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

Qwen2.5-Coder 32B Instruct

Alibaba

2024-09-19

7 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 1.0 Pro

Input:$0.50
Output:$1.50
Alibaba

Qwen2.5-Coder 32B Instruct

$1.82 cheaper
Input:$0.09
Output:$0.09

Performance Metrics

Context window and performance specifications

Google

Gemini 1.0 Pro

Max Context:41.0K
Alibaba

Qwen2.5-Coder 32B Instruct

Larger context
Max Context:256.0K
Parameters:32.0B

Average performance across 2 common benchmarks

Google

Gemini 1.0 Pro

Average Score:52.2%
Alibaba

Qwen2.5-Coder 32B Instruct

+13.9%
Average Score:66.1%

Performance comparison across key benchmark categories

Google

Gemini 1.0 Pro

math
39.6%
general
51.4%
Alibaba

Qwen2.5-Coder 32B Instruct

math
+34.6%
74.2%
general
+10.1%
61.5%
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

Google

Gemini 1.0 Pro

1 providers

Google

Throughput: 120 tok/s
Latency: 0.4ms
Alibaba

Qwen2.5-Coder 32B Instruct

4 providers

Hyperbolic

Throughput: 100 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 44 tok/s
Latency: 0.5ms

Fireworks

Throughput: 110 tok/s
Latency: 0.26ms

Lambda

Throughput: 42 tok/s
Latency: 0.5ms
Google

Gemini 1.0 Pro

Avg Score:52.2%
Providers:1
Alibaba

Qwen2.5-Coder 32B Instruct

+13.9%
Avg Score:66.1%
Providers:4