Model Comparison

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

Google

Gemma 3 4B

Google

Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.

Alibaba

Qwen3 235B A22B

Alibaba

Qwen3 235B A22B is a language model developed by Alibaba. It achieves strong performance with an average score of 76.2% across 23 benchmarks. It excels particularly in Arena Hard (95.6%), GSM8k (94.4%), BBH (88.9%). The model shows particular specialization in math tasks with an average performance of 83.3%. 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 2025, it represents Alibaba's latest advancement in AI technology.

Google

Gemma 3 4B

Google

2025-03-12

Alibaba

Qwen3 235B A22B

Alibaba

2025-04-29

1 month newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemma 3 4B

$0.14 cheaper
Input:$0.02
Output:$0.04
Alibaba

Qwen3 235B A22B

Input:$0.10
Output:$0.10

Performance Metrics

Context window and performance specifications

Google

Gemma 3 4B

Larger context
Max Context:262.1K
Parameters:4.0B
Alibaba

Qwen3 235B A22B

Max Context:256.0K
Parameters:235.0B

Average performance across 6 common benchmarks

Google

Gemma 3 4B

Average Score:52.5%
Alibaba

Qwen3 235B A22B

+19.8%
Average Score:72.3%

Performance comparison across key benchmark categories

Google

Gemma 3 4B

math
64.5%
code
61.5%
general
40.7%
Alibaba

Qwen3 235B A22B

math
+18.8%
83.3%
code
+15.0%
76.6%
general
+34.1%
74.8%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemma 3 4B

2024-08-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 3 4B

1 providers

DeepInfra

Throughput: 33 tok/s
Latency: 0.2ms
Alibaba

Qwen3 235B A22B

4 providers

Together

Throughput: 23.74 tok/s
Latency: 0.79ms

DeepInfra

Throughput: 21.74 tok/s
Latency: 1.23ms

Fireworks

Throughput: 68.17 tok/s
Latency: 0.78ms

Novita

Throughput: 38.51 tok/s
Latency: 1.02ms
Google

Gemma 3 4B

Avg Score:52.5%
Providers:1
Alibaba

Qwen3 235B A22B

+19.8%
Avg Score:72.3%
Providers:4