Compare the listed model data for Gemma 3n E4B by Google and Phi-3 Mini 4K Instruct by microsoft. Benchmark and pricing records are not a controlled test and may change.
Data last updated: 2026-10-16. Verify current model details with each provider.
What the listed data says
Gemma 3n E4B: 32K tokens; Phi-3 Mini 4K Instruct: 4K tokens (128K in long-context variant). Gemma 3n E4B has the larger listed context window. Gemma 3n E4B is listed for no specific capability flags; Phi-3 Mini 4K Instruct is listed for coding. Shared catalog benchmark entries: MMLU: Gemma 3n E4B 65.4%; Phi-3 Mini 4K Instruct 68.8%; HumanEval: Gemma 3n E4B 56.8%; Phi-3 Mini 4K Instruct 60.4%. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.
Catalog source links
Use these model and provider links to verify current specifications, pricing, and availability.
The listed context windows are 32K tokens and 4K tokens (128K in long-context variant); the larger is 8,000× the smaller.
On shared numeric benchmark entries, MMLU: Gemma 3n E4B − Phi-3 Mini 4K Instruct = -3.4 percentage points (65.4% vs 68.8%); HumanEval: Gemma 3n E4B − Phi-3 Mini 4K Instruct = -3.6 percentage points (56.8% vs 60.4%).
The first listed parameter quantities are 4B effective and 3.8B; the larger quantity is 1.05× the smaller. Total and active MoE parameters are not directly equivalent.
The catalog release dates are May 2025 and April 2024, about 13 months apart at the precision supplied.
Cost example: 1M input and 1M output tokens
A cost example for 1M input plus 1M output tokens cannot be calculated reliably because separate numeric input and output rates are not listed for both models.
Choose Gemma 3n E4B if…
Choose Gemma 3n E4B when your task aligns with catalog-listed uses or strengths such as Mobile AI apps requiring offline capability, On-device assistants for privacy-sensitive applications, Smart home and IoT AI, Specifically designed for on-device deployment — smartphones, tablets, laptops.
Choose Phi-3 Mini 4K Instruct if…
Choose Phi-3 Mini 4K Instruct when your task aligns with catalog-listed uses or strengths such as On-device AI assistants on smartphones and laptops, Educational tools requiring lightweight fast AI, Resource-constrained enterprise deployments, Mathematical tutoring on consumer hardware.
Feature Comparison — Gemma 3n E4B vs Phi-3 Mini 4K Instruct
Catalog specifications for Gemma 3n E4B and Phi-3 Mini 4K Instruct
Specification
Gemma 3n E4B
Phi-3 Mini 4K Instruct
Provider
Google
microsoft
Parameters
4B effective
3.8B
Context window
32K tokens
4K tokens (128K in long-context variant)
Maximum output
Not listed
Not listed
Catalog pricing
Gemma Terms — free
MIT — free. Azure AI charges for cloud hosting.
Listed input/output cost per 1M tokens
Separate numeric input/output rates not listed
Separate numeric input/output rates not listed
License
Gemma Terms of Use
MIT
Coding support
Not listed
Listed
Reasoning support
Not listed
Not listed
Vision input
Not listed
Not listed
Multimodal
Not listed
Not listed
Open weights
Yes
Yes
Benchmark: MMLU
65.4%
68.8%
Benchmark: HumanEval
56.8%
60.4%
Figures are transcribed from LITHOVEX model records. Benchmark versions and evaluation setups may differ; pricing and specifications can change. Check each provider's current documentation before making a decision.
Frequently Asked Questions
What is different between Gemma 3n E4B and Phi-3 Mini 4K Instruct?
Gemma 3n E4B: 32K tokens; Phi-3 Mini 4K Instruct: 4K tokens (128K in long-context variant). Gemma 3n E4B has the larger listed context window. Gemma 3n E4B is listed for no specific capability flags; Phi-3 Mini 4K Instruct is listed for coding. Shared catalog benchmark entries: MMLU: Gemma 3n E4B 65.4%; Phi-3 Mini 4K Instruct 68.8%; HumanEval: Gemma 3n E4B 56.8%; Phi-3 Mini 4K Instruct 60.4%. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.
What benchmark values are listed for Gemma 3n E4B and Phi-3 Mini 4K Instruct?
MMLU: Gemma 3n E4B 65.4%; Phi-3 Mini 4K Instruct 68.8%; HumanEval: Gemma 3n E4B 56.8%; Phi-3 Mini 4K Instruct 60.4%. The catalog values may use different versions and evaluation setups, so they are reference points rather than a controlled head-to-head result.
Which model has the larger listed context window?
Gemma 3n E4B: 32K tokens; Phi-3 Mini 4K Instruct: 4K tokens (128K in long-context variant). Gemma 3n E4B has the larger listed context window.
What are the listed costs per million tokens for Gemma 3n E4B and Phi-3 Mini 4K Instruct?
Gemma 3n E4B: Separate numeric input/output rates not listed (Gemma Terms — free). Phi-3 Mini 4K Instruct: Separate numeric input/output rates not listed (MIT — free. Azure AI charges for cloud hosting.). Where separate numeric input and output rates are available, the worked example uses 1M input plus 1M output tokens. Confirm current terms with each provider.
How far apart are the listed release dates for Gemma 3n E4B and Phi-3 Mini 4K Instruct?
The catalog lists Gemma 3n E4B as May 2025 and Phi-3 Mini 4K Instruct as April 2024, about 13 months apart at the precision supplied.
When was the comparison data last updated?
The model catalog records 2026-10-16 as its data update date. Provider specifications and prices may have changed since then.
How should I choose between Gemma 3n E4B and Phi-3 Mini 4K Instruct?
Compare the listed specifications and capabilities, review the benchmark notes, then test both with the same representative prompt for your task. This page does not claim a universal winner.
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