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Gemma 3n E4B Instructed vs o4-mini
Comprehensive side-by-side LLM comparison
o4-mini leads with 69.4% higher average benchmark score. o4-mini offers 236.0K more tokens in context window than Gemma 3n E4B Instructed. o4-mini is $54.50 cheaper per million tokens. Overall, o4-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
o4-mini was created as part of the next generation of OpenAI's reasoning models, designed to continue advancing the balance between analytical capability and operational efficiency. Built to bring cutting-edge reasoning techniques to applications requiring quick turnaround, it represents the evolution of compact reasoning-focused models.
2 months newer
o4-mini
OpenAI
2025-04-16
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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o4-mini
Input:$1.10
Output:$4.40($54.50 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Gemma 3n E4B Instructed
Average Score:17.6%
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o4-mini
Average Score:87.1%(+69.4%)
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Knowledge Cutoff
Training data recency comparison
o4-mini
2024-05-31
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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o4-mini
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Gemma 3n E4B Instructed
Avg Score:17.6%
Providers:1
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o4-mini
Avg Score:87.1%(+69.4%)
Providers:1