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Gemma 3 12B vs GPT-4 Turbo
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Gemma 3 12B offers 130.0K more tokens in context window than GPT-4 Turbo. Gemma 3 12B is $39.85 cheaper per million tokens. Gemma 3 12B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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-4 Turbo was introduced as an optimized version of GPT-4, designed to provide enhanced performance with improved efficiency and an expanded context window. Built with updated knowledge and refined capabilities, it offered developers a more cost-effective way to leverage GPT-4's advanced reasoning while handling longer conversations and documents.
11 months newer
GPT-4 Turbo
OpenAI
2024-04-09
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($39.85 cheaper)
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GPT-4 Turbo
Input:$10.00
Output:$30.00
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Gemma 3 12B
Average Score:70.0%(+0.8%)
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GPT-4 Turbo
Average Score:69.2%
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Knowledge Cutoff
Training data recency comparison
GPT-4 Turbo
2023-12-31
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-4 Turbo
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Gemma 3 12B
Avg Score:70.0%(+0.8%)
Providers:1
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GPT-4 Turbo
Avg Score:69.2%
Providers:2