Model Comparison

Gemma 3n E4B Instructed vs Mercury 2

Mercury 2 significantly outperforms across most benchmarks. Mercury 2 is 66.7x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemma 3n E4B Instructed outperforms in 0 benchmarks, while Mercury 2 is better at 3 benchmarks (AIME 2025, GPQA, LiveCodeBench).

Mercury 2 significantly outperforms across most benchmarks.

Sat Apr 18 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Mercury 2 costs less

For input processing, Gemma 3n E4B Instructed ($20.00/1M tokens) is 80.0x more expensive than Mercury 2 ($0.25/1M tokens).

For output processing, Gemma 3n E4B Instructed ($40.00/1M tokens) is 53.3x more expensive than Mercury 2 ($0.75/1M tokens).

In conclusion, Gemma 3n E4B Instructed is more expensive than Mercury 2.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Apr 18 2026 • llm-stats.com
Google
Gemma 3n E4B Instructed
Input tokens$20.00
Output tokens$40.00
Best providerTogether
Inception
Mercury 2
Input tokens$0.25
Output tokens$0.75
Best providerInception
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Mercury 2 accepts 128,000 input tokens compared to Gemma 3n E4B Instructed's 32,000 tokens. Gemma 3n E4B Instructed can generate longer responses up to 32,000 tokens, while Mercury 2 is limited to 8,192 tokens.

Google
Gemma 3n E4B Instructed
Input32,000 tokens
Output32,000 tokens
Inception
Mercury 2
Input128,000 tokens
Output8,192 tokens
Sat Apr 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E4B Instructed supports multimodal inputs, whereas Mercury 2 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

Text
Images
Audio
Video

Mercury 2

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 E4B Instructed

Proprietary

Closed source

Mercury 2

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 3n E4B Instructed was released on 2025-06-26, while Mercury 2 was released on 2026-02-24.

Mercury 2 is 8 months newer than Gemma 3n E4B Instructed.

Gemma 3n E4B Instructed

Jun 26, 2025

9 months ago

Mercury 2

Feb 24, 2026

1 months ago

8mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E4B Instructed has a documented knowledge cutoff of 2024-06-01, while Mercury 2'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 2's cutoff date.

Gemma 3n E4B Instructed

Jun 2024

Mercury 2

—

Provider Availability

Gemma 3n E4B Instructed is available from Together. Mercury 2 is available from Inception.

Gemma 3n E4B Instructed

together logo
Together
Input Price:Input: $20.00/1MOutput Price:Output: $40.00/1M

Mercury 2

inception logo
Inception
Input Price:Input: $0.25/1MOutput Price:Output: $0.75/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Supports multimodal inputs
Inception
Larger context window (128,000 tokens)
Less expensive input tokens
Less expensive output tokens
Higher AIME 2025 score (91.1% vs 11.6%)
Higher GPQA score (74.0% vs 23.7%)
Higher LiveCodeBench score (67.0% vs 13.2%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E4B Instructed
Inception
Mercury 2

FAQ

Common questions about Gemma 3n E4B Instructed vs Mercury 2

Mercury 2 significantly outperforms across most benchmarks. Gemma 3n E4B Instructed is made by Google and Mercury 2 is made by Inception. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemma 3n E4B Instructed scores HumanEval: 75.0%, MGSM: 67.0%, MMLU: 64.9%, Global-MMLU-Lite: 64.5%, MBPP: 63.6%. Mercury 2 scores AIME 2025: 91.1%, GPQA: 74.0%, IFBench: 71.0%, LiveCodeBench: 67.0%, Tau2 Airline: 53.0%.
Mercury 2 is 80.0x cheaper for input tokens. Gemma 3n E4B Instructed costs $20.00/M input and $40.00/M output via together. Mercury 2 costs $0.25/M input and $0.75/M output via inception.
Gemma 3n E4B Instructed supports 32K tokens and Mercury 2 supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (32K vs 128K), input pricing ($20.00 vs $0.25/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.
Gemma 3n E4B Instructed is developed by Google and Mercury 2 is developed by Inception.