Model Comparison

Gemma 3 4B vs Kimi K2 Instruct

Kimi K2 Instruct significantly outperforms across most benchmarks. Gemma 3 4B is 20.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Gemma 3 4B outperforms in 1 benchmarks (IFEval), while Kimi K2 Instruct is better at 5 benchmarks (GPQA, GSM8k, HumanEval, MMLU-Pro, SimpleQA).

Kimi K2 Instruct significantly outperforms across most benchmarks.

Tue May 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemma 3 4B costs less

For input processing, Gemma 3 4B ($0.02/1M tokens) is 25.0x cheaper than Kimi K2 Instruct ($0.50/1M tokens).

For output processing, Gemma 3 4B ($0.04/1M tokens) is 12.5x cheaper than Kimi K2 Instruct ($0.50/1M tokens).

In conclusion, Kimi K2 Instruct is more expensive than Gemma 3 4B.*

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

Lowest available price from all providers

Tue May 26 2026 • llm-stats.com

Gemma 3 4B

Input tokens$0.02

Output tokens$0.04

Best providerDeepinfra

Kimi K2 Instruct

Input tokens$0.50

Output tokens$0.50

Best providerFireworks

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Model Size

Parameter count comparison

996.0B diff

Kimi K2 Instruct has 996.0B more parameters than Gemma 3 4B, making it 24900.0% larger.

Gemma 3 4B

4.0Bparameters

Kimi K2 Instruct

1.0Tparameters

4.0B

Gemma 3 4B

1000.0B

Kimi K2 Instruct

Context Window

Maximum input and output token capacity

Kimi K2 Instruct accepts 200,000 input tokens compared to Gemma 3 4B's 131,072 tokens. Kimi K2 Instruct can generate longer responses up to 200,000 tokens, while Gemma 3 4B is limited to 131,072 tokens.

Gemma 3 4B

Input131,072 tokens

Output131,072 tokens

Kimi K2 Instruct

Input200,000 tokens

Output200,000 tokens

Tue May 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 4B supports multimodal inputs, whereas Kimi K2 Instruct does not.

Gemma 3 4B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3 4B

Text

Images

Audio

Video

Kimi K2 Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

Gemma 3 4B is licensed under Gemma, while Kimi K2 Instruct uses MIT.

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

Gemma 3 4B

Gemma

Open weights

Kimi K2 Instruct

MIT

Open weights

Release Timeline

When each model was launched

Gemma 3 4B was released on 2025-03-12, while Kimi K2 Instruct was released on 2025-07-11.

Kimi K2 Instruct is 4 months newer than Gemma 3 4B.

Gemma 3 4B

Mar 12, 2025

1.2 years ago

Kimi K2 Instruct

Jul 11, 2025

10 months ago

4mo newer

Knowledge Cutoff

When training data ends

Gemma 3 4B has a documented knowledge cutoff of 2024-08-01, while Kimi K2 Instruct's cutoff date is not specified.

We can confirm Gemma 3 4B's training data extends to 2024-08-01, but cannot make a direct comparison without Kimi K2 Instruct's cutoff date.

Gemma 3 4B

Aug 2024

Kimi K2 Instruct

—

Provider Availability

Gemma 3 4B is available from DeepInfra. Kimi K2 Instruct is available from Fireworks, Novita.

Gemma 3 4B

Deepinfra

Input Price:Input: $0.02/1MOutput Price:Output: $0.04/1M

Kimi K2 Instruct

Fireworks

Input Price:Input: $0.50/1MOutput Price:Output: $0.50/1M

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

Gemma 3 4B

View details

Google

Supports multimodal inputs

Less expensive input tokens

Less expensive output tokens

Higher IFEval score (90.2% vs 89.8%)

Kimi K2 Instruct

View details

Moonshot AI

Larger context window (200,000 tokens)

Higher GPQA score (75.1% vs 30.8%)

Higher GSM8k score (97.3% vs 89.2%)

Higher HumanEval score (93.3% vs 71.3%)

Higher MMLU-Pro score (81.1% vs 43.6%)

Higher SimpleQA score (31.0% vs 4.0%)

Detailed Comparison

AI Model Comparison Table
Feature	Gemma 3 4B	Kimi K2 Instruct

FAQ

Common questions about Gemma 3 4B vs Kimi K2 Instruct.

Which is better, Gemma 3 4B or Kimi K2 Instruct?

Kimi K2 Instruct significantly outperforms across most benchmarks. Gemma 3 4B 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.

How does Gemma 3 4B compare to Kimi K2 Instruct in benchmarks?

Gemma 3 4B scores IFEval: 90.2%, GSM8k: 89.2%, DocVQA: 75.8%, MATH: 75.6%, AI2D: 74.8%. Kimi K2 Instruct scores MATH-500: 97.4%, GSM8k: 97.3%, CBNSL: 95.6%, HumanEval: 93.3%, MMLU-Redux: 92.7%.

Is Gemma 3 4B cheaper than Kimi K2 Instruct?

Gemma 3 4B is 25.0x cheaper for input tokens. Gemma 3 4B costs $0.02/M input and $0.04/M output via deepinfra. Kimi K2 Instruct costs $0.50/M input and $0.50/M output via fireworks.

What are the context window sizes for Gemma 3 4B and Kimi K2 Instruct?

Gemma 3 4B supports 131K tokens and Kimi K2 Instruct supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemma 3 4B and Kimi K2 Instruct?

Key differences include context window (131K vs 200K), input pricing ($0.02 vs $0.50/M), multimodal support (yes vs no), licensing (Gemma vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3 4B and Kimi K2 Instruct?

Gemma 3 4B is developed by Google and Kimi K2 Instruct is developed by Moonshot AI.