Model Comparison

Gemma 3n E4B Instructed vs Kimi K2 Instruct

Kimi K2 Instruct significantly outperforms across most benchmarks. Kimi K2 Instruct is 50.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Gemma 3n E4B Instructed outperforms in 0 benchmarks, while Kimi K2 Instruct is better at 5 benchmarks (AIME 2025, GPQA, HumanEval, MMLU, MMLU-Pro).

Kimi K2 Instruct significantly outperforms across most benchmarks.

Fri Apr 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Kimi K2 Instruct costs less

For input processing, Gemma 3n E4B Instructed ($20.00/1M tokens) is 40.0x more expensive than Kimi K2 Instruct ($0.50/1M tokens).

For output processing, Gemma 3n E4B Instructed ($40.00/1M tokens) is 80.0x more expensive than Kimi K2 Instruct ($0.50/1M tokens).

In conclusion, Gemma 3n E4B Instructed is more expensive than Kimi K2 Instruct.*

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

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
Google
Gemma 3n E4B Instructed
Input tokens$20.00
Output tokens$40.00
Best providerTogether
Moonshot AI
Kimi K2 Instruct
Input tokens$0.50
Output tokens$0.50
Best providerFireworks
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Model Size

Parameter count comparison

992.0B diff

Kimi K2 Instruct has 992.0B more parameters than Gemma 3n E4B Instructed, making it 12400.0% larger.

Google
Gemma 3n E4B Instructed
8.0Bparameters
Moonshot AI
Kimi K2 Instruct
1000.0Bparameters
8.0B
Gemma 3n E4B Instructed
1000.0B
Kimi K2 Instruct

Context Window

Maximum input and output token capacity

Kimi K2 Instruct accepts 200,000 input tokens compared to Gemma 3n E4B Instructed's 32,000 tokens. Kimi K2 Instruct can generate longer responses up to 200,000 tokens, while Gemma 3n E4B Instructed is limited to 32,000 tokens.

Google
Gemma 3n E4B Instructed
Input32,000 tokens
Output32,000 tokens
Moonshot AI
Kimi K2 Instruct
Input200,000 tokens
Output200,000 tokens
Fri Apr 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E4B Instructed supports multimodal inputs, whereas Kimi K2 Instruct 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

Kimi K2 Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B Instructed is licensed under a proprietary license, while Kimi K2 Instruct uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Gemma 3n E4B Instructed

Proprietary

Closed source

Kimi K2 Instruct

MIT

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B Instructed was released on 2025-06-26, while Kimi K2 Instruct was released on 2025-07-11.

Kimi K2 Instruct is 1 month newer than Gemma 3n E4B Instructed.

Gemma 3n E4B Instructed

Jun 26, 2025

9 months ago

Kimi K2 Instruct

Jul 11, 2025

9 months ago

2w newer

Knowledge Cutoff

When training data ends

Gemma 3n E4B Instructed has a documented knowledge cutoff of 2024-06-01, while Kimi K2 Instruct'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 Kimi K2 Instruct's cutoff date.

Gemma 3n E4B Instructed

Jun 2024

Kimi K2 Instruct

—

Provider Availability

Gemma 3n E4B Instructed is available from Together. Kimi K2 Instruct is available from Fireworks, Novita.

Gemma 3n E4B Instructed

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

Kimi K2 Instruct

fireworks logo
Fireworks
Input Price:Input: $0.50/1MOutput Price:Output: $0.50/1M
novita logo
Novita
Input Price:Input: $0.57/1MOutput Price:Output: $2.30/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Supports multimodal inputs
Moonshot AI
Larger context window (200,000 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher AIME 2025 score (49.5% vs 11.6%)
Higher GPQA score (75.1% vs 23.7%)
Higher HumanEval score (93.3% vs 75.0%)
Higher MMLU score (89.5% vs 64.9%)
Higher MMLU-Pro score (81.1% vs 50.6%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E4B Instructed
Moonshot AI
Kimi K2 Instruct

FAQ

Common questions about Gemma 3n E4B Instructed vs Kimi K2 Instruct

Kimi K2 Instruct significantly outperforms across most benchmarks. Gemma 3n E4B Instructed is made by Google and Kimi K2 Instruct is made by Moonshot AI. 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%. Kimi K2 Instruct scores MATH-500: 97.4%, GSM8k: 97.3%, CBNSL: 95.6%, HumanEval: 93.3%, MMLU-Redux: 92.7%.
Kimi K2 Instruct is 40.0x cheaper for input tokens. Gemma 3n E4B Instructed costs $20.00/M input and $40.00/M output via together. Kimi K2 Instruct costs $0.50/M input and $0.50/M output via fireworks.
Gemma 3n E4B Instructed supports 32K tokens and Kimi K2 Instruct supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (32K vs 200K), input pricing ($20.00 vs $0.50/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
Gemma 3n E4B Instructed is developed by Google and Kimi K2 Instruct is developed by Moonshot AI.