Gemma 3n E4B Instructed vs Mercury 3
Mercury 3 leads the LLM Stats Score 36.1 to -5.1. Mercury 3 is 153.8x cheaper per token.
Google · Inception · Updated for 2026
Which is better?
Mercury 3 leads the overall LLM Stats Score 36.1 to -5.1, ranking #98 overall.
In the 1 individual benchmarks reported for both models, Mercury 3 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Mercury 3 is roughly 153.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Mercury 3 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemma 3n E4B Instructed
- you want predictable pricing at $20.00/M input and $40.00/M output
Choose Mercury 3
- overall performance matters — it scores 36.1 and ranks #98 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 153.8x cheaper per token
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Individual benchmarks
18 reported for Gemma 3n E4B Instructed · 12 for Mercury 3
Gemma 3n E4B Instructed outperforms in 0 benchmarks, while Mercury 3 is better at 1 benchmark (GPQA).
Mercury 3 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemma 3n E4B Instructed ($20.00/1M tokens) is 200.0x more expensive than Mercury 3 ($0.10/1M tokens).
For output processing, Gemma 3n E4B Instructed ($40.00/1M tokens) is 114.3x more expensive than Mercury 3 ($0.35/1M tokens).
In conclusion, Gemma 3n E4B Instructed is more expensive than Mercury 3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Mercury 3 accepts 1,000,000 input tokens compared to Gemma 3n E4B Instructed's 32,000 tokens. Mercury 3 can generate longer responses up to 131,072 tokens, while Gemma 3n E4B Instructed is limited to 32,000 tokens.
Input capabilities
Documented input modalities across available providers
Gemma 3n E4B Instructed supports multimodal inputs, whereas Mercury 3 does not.
Gemma 3n E4B Instructed can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemma 3n E4B Instructed
Mercury 3
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Gemma 3n E4B Instructed was released on 2025-06-26, while Mercury 3 was released on 2026-10-19.
Mercury 3 is 16 months newer than Gemma 3n E4B Instructed.
Jun 26, 2025
1.3 years ago
Oct 19, 2026
0 days ago
1.3yr newerKnowledge Cutoff
When training data ends
Gemma 3n E4B Instructed has a documented knowledge cutoff of 2024-06-01, while Mercury 3's cutoff date is not specified.
We can confirm Gemma 3n E4B Instructed's training data extends to 2024-06-01, but cannot make a direct comparison without Mercury 3's cutoff date.
Jun 2024
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Provider Availability
Gemma 3n E4B Instructed is available from Together. Mercury 3 is available from Inception.
Gemma 3n E4B Instructed
Mercury 3
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 3n E4B Instructed and Mercury 3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 3n E4B Instructed vs Mercury 3.