Compare the listed model data for Llama 3.2 1B Instruct by Meta Llama and Gemma 3n E4B by Google. 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
Llama 3.2 1B Instruct: 128K tokens; Gemma 3n E4B: 32K tokens. Llama 3.2 1B Instruct has the larger listed context window. Llama 3.2 1B Instruct is listed for no specific capability flags; Gemma 3n E4B is listed for no specific capability flags. Shared catalog benchmark entries: MMLU: Llama 3.2 1B Instruct 49.3%; Gemma 3n E4B 65.4%; HumanEval: Llama 3.2 1B Instruct 38.4%; Gemma 3n E4B 56.8%. 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 first listed parameter quantities are 1B and 4B effective; the larger quantity is 4× the smaller. Total and active MoE parameters are not directly equivalent.
The catalog release dates are September 2024 and May 2025, about 8 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 Llama 3.2 1B Instruct if…
Choose Llama 3.2 1B Instruct when your task aligns with catalog-listed uses or strengths such as On-device AI in mobile apps requiring privacy, IoT AI assistants, Ultra-compact — runs on CPU, mobile, embedded hardware, 128K context at 1B scale.
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.
Catalog specifications for Llama 3.2 1B Instruct and Gemma 3n E4B
Specification
Llama 3.2 1B Instruct
Gemma 3n E4B
Provider
Meta Llama
Google
Parameters
1B
4B effective
Context window
128K tokens
32K tokens
Maximum output
Not listed
Not listed
Catalog pricing
Free — Llama 3.2 Community License
Gemma Terms — free
Listed input/output cost per 1M tokens
Separate numeric input/output rates not listed
Separate numeric input/output rates not listed
License
Llama 3.2 Community License
Gemma Terms of Use
Coding support
Not listed
Not listed
Reasoning support
Not listed
Not listed
Vision input
Not listed
Not listed
Multimodal
Not listed
Not listed
Open weights
Yes
Yes
Benchmark: MMLU
49.3%
65.4%
Benchmark: HumanEval
38.4%
56.8%
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 Llama 3.2 1B Instruct and Gemma 3n E4B?
Llama 3.2 1B Instruct: 128K tokens; Gemma 3n E4B: 32K tokens. Llama 3.2 1B Instruct has the larger listed context window. Llama 3.2 1B Instruct is listed for no specific capability flags; Gemma 3n E4B is listed for no specific capability flags. Shared catalog benchmark entries: MMLU: Llama 3.2 1B Instruct 49.3%; Gemma 3n E4B 65.4%; HumanEval: Llama 3.2 1B Instruct 38.4%; Gemma 3n E4B 56.8%. 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 Llama 3.2 1B Instruct and Gemma 3n E4B?
MMLU: Llama 3.2 1B Instruct 49.3%; Gemma 3n E4B 65.4%; HumanEval: Llama 3.2 1B Instruct 38.4%; Gemma 3n E4B 56.8%. The catalog values may use different versions and evaluation setups, so they are reference points rather than a controlled head-to-head result.
What are the listed costs per million tokens for Llama 3.2 1B Instruct and Gemma 3n E4B?
Llama 3.2 1B Instruct: Separate numeric input/output rates not listed (Free — Llama 3.2 Community License). Gemma 3n E4B: Separate numeric input/output rates not listed (Gemma Terms — free). 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 Llama 3.2 1B Instruct and Gemma 3n E4B?
The catalog lists Llama 3.2 1B Instruct as September 2024 and Gemma 3n E4B as May 2025, about 8 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 Llama 3.2 1B Instruct and Gemma 3n E4B?
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.
Create your free LITHOVEX account and compare Llama 3.2 1B Instruct and Gemma 3n E4B on your actual tasks. No credit card, no API key, no subscriptions needed.