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Gemma 3 4B vs Qwen3-235B-A22B-Instruct-2507
Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Instruct-2507 leads with 9.1% higher average benchmark score. Gemma 3 4B offers 114.7K more tokens in context window than Qwen3-235B-A22B-Instruct-2507. Gemma 3 4B is $0.89 cheaper per million tokens. Gemma 3 4B supports multimodal inputs. Overall, Qwen3-235B-A22B-Instruct-2507 is the stronger choice for coding tasks.
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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.
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Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). It supports a 147K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
4 months newer
Gemma 3 4B
2025-03-12
Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
2025-07-22
Pricing Comparison
Cost per million tokens (USD)
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Gemma 3 4B
Input:$0.02
Output:$0.04($0.89 cheaper)
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Qwen3-235B-A22B-Instruct-2507
Input:$0.15
Output:$0.80
Performance Metrics
Context window and performance specifications
Average performance across 47 common benchmarks
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Gemma 3 4B
Average Score:29.3%
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Qwen3-235B-A22B-Instruct-2507
Average Score:38.4%(+9.1%)
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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
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Gemma 3 4B
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
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Qwen3-235B-A22B-Instruct-2507
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Gemma 3 4B
Avg Score:29.3%
Providers:1
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Qwen3-235B-A22B-Instruct-2507
Avg Score:38.4%(+9.1%)
Providers:1