Model Comparison

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

Google

Gemini 2.0 Flash

Google

Gemini 2.0 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.7% across 13 benchmarks. It excels particularly in Natural2Code (92.9%), MATH (89.7%), FACTS Grounding (83.6%). 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

Qwen3 30B A3B

Alibaba

Qwen3 30B A3B is a language model developed by Alibaba. It achieves strong performance with an average score of 73.3% across 8 benchmarks. It excels particularly in Arena Hard (91.0%), AIME 2024 (80.4%), LiveBench (74.3%). It supports a 256K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Google

Gemini 2.0 Flash

Google

2024-12-01

Alibaba

Qwen3 30B A3B

Alibaba

2025-04-29

4 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 2.0 Flash

Input:$0.10
Output:$0.40
Alibaba

Qwen3 30B A3B

$0.10 cheaper
Input:$0.10
Output:$0.30

Performance Metrics

Context window and performance specifications

Google

Gemini 2.0 Flash

Larger context
Max Context:1.1M
Alibaba

Qwen3 30B A3B

Max Context:256.0K
Parameters:30.5B

Average performance across 2 common benchmarks

Google

Gemini 2.0 Flash

Average Score:48.6%
Alibaba

Qwen3 30B A3B

+15.6%
Average Score:64.2%

Performance comparison across key benchmark categories

Google

Gemini 2.0 Flash

general
62.6%
code
61.4%
Alibaba

Qwen3 30B A3B

general
+12.4%
74.9%
code
+1.2%
62.6%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 2.0 Flash

2024-08-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 2.0 Flash

1 providers

Google

Throughput: 183 tok/s
Latency: 0.4ms
Alibaba

Qwen3 30B A3B

3 providers

DeepInfra

Throughput: 82.57 tok/s
Latency: 0.84ms

Fireworks

Throughput: 122.4 tok/s
Latency: 0.66ms

Novita

Throughput: 88.84 tok/s
Latency: 0.73ms
Google

Gemini 2.0 Flash

Avg Score:48.6%
Providers:1
Alibaba

Qwen3 30B A3B

+15.6%
Avg Score:64.2%
Providers:3