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Gemma 3n E4B Instructed vs o3-mini
Comprehensive side-by-side LLM comparison
o3-mini leads with 33.5% higher average benchmark score. o3-mini offers 236.0K more tokens in context window than Gemma 3n E4B Instructed. o3-mini is $54.50 cheaper per million tokens. Gemma 3n E4B Instructed supports multimodal inputs. Overall, o3-mini is the stronger choice for coding tasks.
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Gemma 3N E4B IT was created as the instruction-tuned version of Gemma 3N E4B, designed to combine improved capability with edge optimization. Built for applications requiring both responsive instruction-following and edge-friendly efficiency, it serves as a stronger option for on-device AI assistants.
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OpenAI
o3-mini was created as an efficient variant of the o3 reasoning model, designed to provide advanced thinking capabilities with reduced computational requirements. Built to make next-generation reasoning accessible to a broader range of applications, it balances analytical depth with practical speed and cost considerations.
4 months newer
o3-mini
OpenAI
2025-01-30
Gemma 3n E4B Instructed
2025-06-26
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Pricing Comparison
Cost per million tokens (USD)
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Gemma 3n E4B Instructed
Input:$20.00
Output:$40.00
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o3-mini
Input:$1.10
Output:$4.40($54.50 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Gemma 3n E4B Instructed
Average Score:51.9%
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o3-mini
Average Score:85.4%(+33.5%)
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Knowledge Cutoff
Training data recency comparison
o3-mini
2023-09-30
Gemma 3n E4B Instructed
2024-06-01
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 3n E4B Instructed
1 providers
Together
Throughput: 42.09 tok/s
Latency: 0.43ms
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o3-mini
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Gemma 3n E4B Instructed
Avg Score:51.9%
Providers:1
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o3-mini
Avg Score:85.4%(+33.5%)
Providers:2