Model Comparison
Gemma 3n E4B Instructed vs Kimi K3Which is better in 2026?
Kimi K3 significantly outperforms across most benchmarks. Kimi K3 is 4.2x cheaper per token.
Verdict: Gemma 3n E4B Instructed vs Kimi K3 — which is better?
Gemma 3n E4B Instructed (by Google) and Kimi K3 (by Moonshot AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Gemma 3n E4B Instructed outperforms in 0 benchmarks, while Kimi K3 is better at 1 benchmark (GPQA). Kimi K3 significantly outperforms across most benchmarks.
On price, Kimi K3 is roughly 4.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Kimi K3 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemma 3n E4B Instructed if…
- you want predictable pricing at $20.00/M input and $40.00/M output
Choose Kimi K3 if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 4.2x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Jul 2026
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 3n E4B Instructed outperforms in 0 benchmarks, while Kimi K3 is better at 1 benchmark (GPQA).
Kimi K3 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemma 3n E4B Instructed ($20.00/1M tokens) is 6.7x more expensive than Kimi K3 ($3.00/1M tokens).
For output processing, Gemma 3n E4B Instructed ($40.00/1M tokens) is 2.7x more expensive than Kimi K3 ($15.00/1M tokens).
In conclusion, Gemma 3n E4B Instructed is more expensive than Kimi K3.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Kimi K3 has 2792.0B more parameters than Gemma 3n E4B Instructed, making it 34900.0% larger.
Context Window
Maximum input and output token capacity
Kimi K3 accepts 1,048,576 input tokens compared to Gemma 3n E4B Instructed's 32,000 tokens. Kimi K3 can generate longer responses up to 1,048,576 tokens, while Gemma 3n E4B Instructed is limited to 32,000 tokens.
Input Capabilities
Supported data types and modalities
Both Gemma 3n E4B Instructed and Kimi K3 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 3n E4B Instructed
Kimi K3
Release Timeline
When each model was launched
Gemma 3n E4B Instructed was released on 2025-06-26, while Kimi K3 was released on 2026-07-16.
Kimi K3 is 13 months newer than Gemma 3n E4B Instructed.
Jun 26, 2025
1.1 years ago
Jul 16, 2026
5 days ago
1.1yr newerKnowledge Cutoff
When training data ends
Gemma 3n E4B Instructed has a documented knowledge cutoff of 2024-06-01, while Kimi K3'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 K3's cutoff date.
Jun 2024
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Provider Availability
Gemma 3n E4B Instructed is available from Together. Kimi K3 is available from Moonshot AI.
Gemma 3n E4B Instructed
Kimi K3
Outputs Comparison
Key Takeaways
No standout differentiators in the data we have for this pair.
Kimi K3
View detailsMoonshot AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemma 3n E4B Instructed and Kimi K3 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Gemma 3n E4B Instructed vs Kimi K3.