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Gemma 3 12B vs GPT-3.5 Turbo
Comprehensive side-by-side LLM comparison
Gemma 3 12B leads with 41.5% higher average benchmark score. Gemma 3 12B offers 241.7K more tokens in context window than GPT-3.5 Turbo. Gemma 3 12B is $1.85 cheaper per million tokens. Gemma 3 12B supports multimodal inputs. Overall, Gemma 3 12B is the stronger choice for coding tasks.
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Gemma 3 12B is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 26 benchmarks. It excels particularly in GSM8k (94.4%), IFEval (88.9%), DocVQA (87.1%). 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-3.5 Turbo is a language model developed by OpenAI. The model shows competitive results across 8 benchmarks. Notable strengths include DROP (70.2%), MMLU (69.8%), HumanEval (68.0%). The model is available through 2 API providers.
1 year newer
GPT-3.5 Turbo
OpenAI
2023-03-21
Gemma 3 12B
2025-03-12
Pricing Comparison
Cost per million tokens (USD)
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Gemma 3 12B
Input:$0.05
Output:$0.10($1.85 cheaper)
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GPT-3.5 Turbo
Input:$0.50
Output:$1.50
Performance Metrics
Context window and performance specifications
Average performance across 31 common benchmarks
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Gemma 3 12B
Average Score:52.4%(+41.5%)
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GPT-3.5 Turbo
Average Score:10.9%
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Knowledge Cutoff
Training data recency comparison
GPT-3.5 Turbo
2021-09-30
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 12B
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
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GPT-3.5 Turbo
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Gemma 3 12B
Avg Score:52.4%(+41.5%)
Providers:1
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GPT-3.5 Turbo
Avg Score:10.9%
Providers:2