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Gemma 4 E4B vs Kimi K2.8 Preview

Comparing Gemma 4 E4B and Kimi K2.8 Preview across benchmarks, pricing, and capabilities.

Google · Moonshot AI · Updated for 2026

Which is better?

Gemma 4 E4B and Kimi K2.8 Preview trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Kimi K2.8 Preview also accepts a larger context window (1,048,576 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 4 E4B

  • you need open weights you can self-host or fine-tune

Choose Kimi K2.8 Preview

  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Gemma 4 E4B
Google
Kimi K2.8 Preview
Moonshot AI
Benchmark wins
—
—
Input price
$0.02 / M
— / M
Output price
$0.10 / M
— / M
Context window
131,072
1,048,576

Individual benchmarks

11 reported for Gemma 4 E4B · 0 for Kimi K2.8 Preview

No common benchmarks found

Gemma 4 E4B and Kimi K2.8 Previewdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Kimi K2.8 Preview accepts 1,048,576 input tokens compared to Gemma 4 E4B's 131,072 tokens. Only Gemma 4 E4B specifies output context (131,072 tokens).

Google
Gemma 4 E4B
Input131,072 tokens
Output131,072 tokens
Moonshot AI
Kimi K2.8 Preview
Input1,048,576 tokens
Output- tokens
Mon Sep 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemma 4 E4B and Kimi K2.8 Preview support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemma 4 E4B

Text
Images
Audio
Video

Kimi K2.8 Preview

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 4 E4B is licensed under Apache 2.0, while Kimi K2.8 Preview uses a proprietary license.

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

Gemma 4 E4B

Apache 2.0

Open weights

Kimi K2.8 Preview

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 4 E4B was released on 2026-04-02, while Kimi K2.8 Preview was released on 2026-09-11.

Kimi K2.8 Preview is 5 months newer than Gemma 4 E4B.

Gemma 4 E4B

Apr 2, 2026

5 months ago

Kimi K2.8 Preview

Sep 11, 2026

1 weeks ago

5mo newer

Knowledge Cutoff

When training data ends

Gemma 4 E4B has a documented knowledge cutoff of 2025-01-01, while Kimi K2.8 Preview's cutoff date is not specified.

We can confirm Gemma 4 E4B's training data extends to 2025-01-01, but cannot make a direct comparison without Kimi K2.8 Preview's cutoff date.

Gemma 4 E4B

Jan 2025

Kimi K2.8 Preview

—

Provider Availability

Gemma 4 E4B is available from DeepInfra. Kimi K2.8 Preview is available from Moonshot AI.

Gemma 4 E4B

deepinfra logo
Deepinfra
Input Price:Input: $0.02/1MOutput Price:Output: $0.10/1M

Kimi K2.8 Preview

moonshot logo
Unknown Organization
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemma 4 E4B and Kimi K2.8 Preview side-by-side, then vote on the output you prefer.

Gemma 4 E4B
✓ Preferred
Kimi K2.8 Preview
Open in Playground

FAQ

Common questions about Gemma 4 E4B vs Kimi K2.8 Preview.

Which is better, Gemma 4 E4B or Kimi K2.8 Preview?

Gemma 4 E4B (Google) and Kimi K2.8 Preview (Moonshot AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemma 4 E4B compare to Kimi K2.8 Preview in benchmarks?

Gemma 4 E4B scores MMMLU: 76.6%, MMLU-Pro: 69.4%, MathVision: 59.5%, GPQA: 58.6%, t2-bench: 57.5%.

What are the context window sizes for Gemma 4 E4B and Kimi K2.8 Preview?

Gemma 4 E4B supports 131K tokens and Kimi K2.8 Preview 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 4 E4B and Kimi K2.8 Preview?

Key differences include context window (131K vs 1.0M), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 4 E4B and Kimi K2.8 Preview?

Gemma 4 E4B is developed by Google and Kimi K2.8 Preview is developed by Moonshot AI.

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