Model Comparison

Gemma 4 E2B vs Kimi K2.6Which is better in 2026?

Kimi K2.6 significantly outperforms across most benchmarks.

Verdict: Gemma 4 E2B vs Kimi K2.6 — which is better?

Gemma 4 E2B (by Google) and Kimi K2.6 (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 4 E2B outperforms in 0 benchmarks, while Kimi K2.6 is better at 5 benchmarks (AIME 2026, GPQA, LiveCodeBench v6, MathVision, MMMU-Pro). Kimi K2.6 significantly outperforms across most benchmarks.

Choose Gemma 4 E2B if…

  • you are already invested in the Google ecosystem

Choose Kimi K2.6 if…

  • you want the strongest raw capability — it leads on 5 of 5 shared benchmarks
  • you want the most recent training data — it shipped Apr 2026

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Gemma 4 E2B outperforms in 0 benchmarks, while Kimi K2.6 is better at 5 benchmarks (AIME 2026, GPQA, LiveCodeBench v6, MathVision, MMMU-Pro).

Kimi K2.6 significantly outperforms across most benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

994.9B diff

Kimi K2.6 has 994.9B more parameters than Gemma 4 E2B, making it 19507.8% larger.

Google
Gemma 4 E2B
5.1Bparameters
Moonshot AI
Kimi K2.6
1.0Tparameters
5.1B
Gemma 4 E2B
1000.0B
Kimi K2.6

Context Window

Maximum input and output token capacity

Only Kimi K2.6 specifies input context (262,144 tokens). Only Kimi K2.6 specifies output context (131,072 tokens).

Google
Gemma 4 E2B
Input- tokens
Output- tokens
Moonshot AI
Kimi K2.6
Input262,144 tokens
Output131,072 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 4 E2B and Kimi K2.6 support multimodal inputs.

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

Gemma 4 E2B

Text
Images
Audio
Video

Kimi K2.6

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 4 E2B is licensed under Apache 2.0, while Kimi K2.6 uses Modified MIT License.

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

Gemma 4 E2B

Apache 2.0

Open weights

Kimi K2.6

Modified MIT License

Open weights

Release Timeline

When each model was launched

Gemma 4 E2B was released on 2026-04-02, while Kimi K2.6 was released on 2026-04-20.

Kimi K2.6 is 1 month newer than Gemma 4 E2B.

Gemma 4 E2B

Apr 2, 2026

3 months ago

Kimi K2.6

Apr 20, 2026

2 months ago

2w newer

Knowledge Cutoff

When training data ends

Gemma 4 E2B has a documented knowledge cutoff of 2025-01-01, while Kimi K2.6's cutoff date is not specified.

We can confirm Gemma 4 E2B's training data extends to 2025-01-01, but cannot make a direct comparison without Kimi K2.6's cutoff date.

Gemma 4 E2B

Jan 2025

Kimi K2.6

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google

No standout differentiators in the data we have for this pair.

Moonshot AI
Larger context window (262,144 tokens)
Higher AIME 2026 score (96.4% vs 37.5%)
Higher GPQA score (90.5% vs 43.4%)
Higher LiveCodeBench v6 score (89.6% vs 44.0%)
Higher MathVision score (93.2% vs 52.4%)
Higher MMMU-Pro score (80.1% vs 44.2%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemma 4 E2B and Kimi K2.6 side-by-side, then vote on the output you prefer.

Gemma 4 E2B
✓ Preferred
Kimi K2.6
Open in Playground
AI Model Comparison Table
Feature
Google
Gemma 4 E2B
Moonshot AI
Kimi K2.6

FAQ

Common questions about Gemma 4 E2B vs Kimi K2.6.

Which is better, Gemma 4 E2B or Kimi K2.6?

Kimi K2.6 significantly outperforms across most benchmarks. Gemma 4 E2B is made by Google and Kimi K2.6 is made by Moonshot AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemma 4 E2B compare to Kimi K2.6 in benchmarks?

Gemma 4 E2B scores MMMLU: 67.4%, MMLU-Pro: 60.0%, MathVision: 52.4%, MMMU-Pro: 44.2%, LiveCodeBench v6: 44.0%. Kimi K2.6 scores V*: 96.9%, AIME 2026: 96.4%, MathVision: 93.2%, HMMT Feb 26: 92.7%, GPQA: 90.5%.

What are the context window sizes for Gemma 4 E2B and Kimi K2.6?

Gemma 4 E2B supports an unknown number of tokens and Kimi K2.6 supports 262K 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 E2B and Kimi K2.6?

Key differences include licensing (Apache 2.0 vs Modified MIT License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 4 E2B and Kimi K2.6?

Gemma 4 E2B is developed by Google and Kimi K2.6 is developed by Moonshot AI.

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