Model Comparison

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

Google

Gemini 1.5 Flash 8B

Google

Gemini 1.5 Flash 8B is a multimodal language model developed by Google. It achieves strong performance with an average score of 60.5% across 13 benchmarks. It excels particularly in XSTest (92.6%), FLEURS (86.4%), Natural2Code (75.5%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Google's latest advancement in AI technology.

Alibaba

Qwen2.5 72B Instruct

Alibaba

Qwen2.5 72B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 77.4% across 14 benchmarks. It excels particularly in GSM8k (95.8%), MT-Bench (93.5%), MBPP (88.2%). The model shows particular specialization in math tasks with an average performance of 89.5%. It supports a 139K 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 1.5 Flash 8B

Google

2024-03-15

Alibaba

Qwen2.5 72B Instruct

Alibaba

2024-09-19

6 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 1.5 Flash 8B

$0.38 cheaper
Input:$0.07
Output:$0.30
Alibaba

Qwen2.5 72B Instruct

Input:$0.35
Output:$0.40

Performance Metrics

Context window and performance specifications

Google

Gemini 1.5 Flash 8B

Larger context
Max Context:1.1M
Parameters:8.0B
Alibaba

Qwen2.5 72B Instruct

Max Context:139.3K
Parameters:72.7B

Average performance across 3 common benchmarks

Google

Gemini 1.5 Flash 8B

Average Score:51.9%
Alibaba

Qwen2.5 72B Instruct

+15.8%
Average Score:67.7%

Performance comparison across key benchmark categories

Google

Gemini 1.5 Flash 8B

math
48.7%
code
58.2%
general
67.2%
Alibaba

Qwen2.5 72B Instruct

math
+40.7%
89.5%
code
+20.4%
78.6%
general
+6.9%
74.1%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 1.5 Flash 8B

2024-10-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 1.5 Flash 8B

1 providers

Google

Throughput: 150 tok/s
Latency: 0.3ms
Alibaba

Qwen2.5 72B Instruct

4 providers

Together

Throughput: 47 tok/s
Latency: 0.5ms

Hyperbolic

Throughput: 100 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 10 tok/s
Latency: 0.5ms

Fireworks

Throughput: 59 tok/s
Latency: 0.37ms
Google

Gemini 1.5 Flash 8B

Avg Score:51.9%
Providers:1
Alibaba

Qwen2.5 72B Instruct

+15.8%
Avg Score:67.7%
Providers:4