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Gemma 3 4B vs GPT-5 Codex
Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 48.3% higher average benchmark score. Gemma 3 4B supports multimodal inputs. Overall, Gemma 3 4B 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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OpenAI
GPT-5 Codex is a language model developed by OpenAI. It achieves strong performance with an average score of 74.5% across 1 benchmarks. Notable strengths include SWE-Bench Verified (74.5%). Released in 2025, it represents OpenAI's latest advancement in AI technology.
6 months newer
Gemma 3 4B
2025-03-12
GPT-5 Codex
OpenAI
2025-09-15
Performance Metrics
Context window and performance specifications
Average performance across 27 common benchmarks
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Gemma 3 4B
Average Score:51.0%(+48.3%)
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GPT-5 Codex
Average Score:2.8%
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Knowledge Cutoff
Training data recency comparison
Gemma 3 4B
2024-08-01
GPT-5 Codex
2024-09-30
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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GPT-5 Codex
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Gemma 3 4B
Avg Score:51.0%(+48.3%)
Providers:1
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GPT-5 Codex
Avg Score:2.8%
Providers:0