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Gemma 3n E2B Instructed vs Mercury 3

Mercury 3 leads the LLM Stats Score 36.1 to -11.1.

Google · Inception · Updated for 2026

Which is better?

Mercury 3 leads the overall LLM Stats Score 36.1 to -11.1, 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.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemma 3n E2B Instructed

  • you are already invested in the Google ecosystem

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
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Gemma 3n E2B Instructed
Google
Mercury 3
Inception
Core performance indexes
LLM Stats Score
-11.1
#394
36.1
#98
Reasoning
-11.4
#386
34.8
#103
Coding
-4.6
#282
21.5
#105
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.10 / M
Output price
— / M
$0.35 / M
Context window
—
1,000,000

Individual benchmarks

18 reported for Gemma 3n E2B Instructed · 12 for Mercury 3

1 shared

Gemma 3n E2B Instructed outperforms in 0 benchmarks, while Mercury 3 is better at 1 benchmark (GPQA).

Mercury 3 significantly outperforms across most benchmarks.

Fri Oct 23 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Mercury 3 specifies input context (1,000,000 tokens). Only Mercury 3 specifies output context (131,072 tokens).

Google
Gemma 3n E2B Instructed
Input- tokens
Output- tokens
Inception
Mercury 3
Input1,000,000 tokens
Output131,072 tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemma 3n E2B Instructed supports multimodal inputs, whereas Mercury 3 does not.

Gemma 3n E2B Instructed can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3n E2B Instructed

Text
Images
Audio
Video

Mercury 3

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemma 3n E2B Instructed

Proprietary

Closed source

Mercury 3

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 3n E2B 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 E2B Instructed.

Gemma 3n E2B Instructed

Jun 26, 2025

1.3 years ago

Mercury 3

Oct 19, 2026

3 days ago

1.3yr newer

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed has a documented knowledge cutoff of 2024-06-01, while Mercury 3's cutoff date is not specified.

We can confirm Gemma 3n E2B Instructed's training data extends to 2024-06-01, but cannot make a direct comparison without Mercury 3's cutoff date.

Gemma 3n E2B Instructed

Jun 2024

Mercury 3

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemma 3n E2B Instructed and Mercury 3 side-by-side, then vote on the output you prefer.

Gemma 3n E2B Instructed
✓ Preferred
Mercury 3
Open in Playground

FAQ

Common questions about Gemma 3n E2B Instructed vs Mercury 3.

Which is better, Gemma 3n E2B Instructed or Mercury 3?

Mercury 3 leads the LLM Stats Score 36.1 to -11.1. Gemma 3n E2B Instructed is made by Google and Mercury 3 is made by Inception. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemma 3n E2B Instructed compare to Mercury 3 in benchmarks?

Gemma 3n E2B Instructed scores HumanEval: 66.5%, MMLU: 60.1%, Global-MMLU-Lite: 59.0%, MBPP: 56.6%, Global-MMLU: 55.1%. Mercury 3 scores GPQA: 89.2%, AA-LCR: 77.7%, IFBench: 76.8%, MRCR v2: 75.5%, DeepSearchQA: 71.3%.

What are the context window sizes for Gemma 3n E2B Instructed and Mercury 3?

Gemma 3n E2B Instructed supports an unknown number of tokens and Mercury 3 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemma 3n E2B Instructed and Mercury 3?

Key differences include LLM Stats Score (-11.1 vs 36.1), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E2B Instructed and Mercury 3?

Gemma 3n E2B Instructed is developed by Google and Mercury 3 is developed by Inception.

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