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Gemma 3 12B vs GPT-3.5 Turbo
Comprehensive side-by-side LLM comparison
Gemma 3 12B leads with 22.7% 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 was developed as part of the third generation of Google's open-source model family, designed to provide enhanced capabilities in a mid-sized format. Built with improved architecture and training techniques, it balances performance with practical deployment considerations for diverse use cases.
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OpenAI
GPT-3.5 Turbo was developed as an optimized version of GPT-3.5, designed to provide a balance of capability and efficiency for conversational and completion tasks. Built to serve as a cost-effective option for applications requiring reliable language understanding and generation, it became widely adopted for chatbots, content generation, and general-purpose AI assistance.
1 year newer
GPT-3.5 Turbo
OpenAI
2023-03-21
Gemma 3 12B
2025-03-12
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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 3 common benchmarks
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Gemma 3 12B
Average Score:70.0%(+22.7%)
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GPT-3.5 Turbo
Average Score:47.3%
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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:70.0%(+22.7%)
Providers:1
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GPT-3.5 Turbo
Avg Score:47.3%
Providers:2