Model Comparison

Gemini 3.1 Pro vs Gemma 3 4BWhich is better in 2026?

Gemini 3.1 Pro significantly outperforms across most benchmarks. Gemma 3 4B is 225.0x cheaper per token.

Verdict: Gemini 3.1 Pro vs Gemma 3 4B — which is better?

Gemini 3.1 Pro (by Google) and Gemma 3 4B (by Google) 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.

Gemini 3.1 Pro outperforms in 1 benchmarks (GPQA), while Gemma 3 4B is better at 0 benchmarks. Gemini 3.1 Pro significantly outperforms across most benchmarks.

On price, Gemma 3 4B is roughly 225.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.1 Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 3.1 Pro if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Feb 2026

Choose Gemma 3 4B if…

  • cost matters — it's about 225.0x cheaper per token
  • you need open weights you can self-host or fine-tune
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 3.1 Pro outperforms in 1 benchmarks (GPQA), while Gemma 3 4B is better at 0 benchmarks.

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Sun Jun 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemma 3 4B costs less

For input processing, Gemini 3.1 Pro ($2.50/1M tokens) is 125.0x more expensive than Gemma 3 4B ($0.02/1M tokens).

For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 375.0x more expensive than Gemma 3 4B ($0.04/1M tokens).

In conclusion, Gemini 3.1 Pro is more expensive than Gemma 3 4B.*

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

Lowest available price from all providers
Sun Jun 07 2026 • llm-stats.com
Google
Gemini 3.1 Pro
Input tokens$2.50
Output tokens$15.00
Best providerGoogle
Google
Gemma 3 4B
Input tokens$0.02
Output tokens$0.04
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3.1 Pro accepts 1,048,576 input tokens compared to Gemma 3 4B's 131,072 tokens. Gemma 3 4B can generate longer responses up to 131,072 tokens, while Gemini 3.1 Pro is limited to 65,536 tokens.

Google
Gemini 3.1 Pro
Input1,048,576 tokens
Output65,536 tokens
Google
Gemma 3 4B
Input131,072 tokens
Output131,072 tokens
Sun Jun 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.1 Pro and Gemma 3 4B support multimodal inputs.

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

Gemini 3.1 Pro

Text
Images
Audio
Video

Gemma 3 4B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 Pro is licensed under a proprietary license, while Gemma 3 4B uses Gemma.

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

Gemini 3.1 Pro

Proprietary

Closed source

Gemma 3 4B

Gemma

Open weights

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while Gemma 3 4B was released on 2025-03-12.

Gemini 3.1 Pro is 11 months newer than Gemma 3 4B.

Gemini 3.1 Pro

Feb 19, 2026

3 months ago

11mo newer
Gemma 3 4B

Mar 12, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a knowledge cutoff of 2025-01-31, while Gemma 3 4B has a cutoff of 2024-08-01.

Gemini 3.1 Pro has more recent training data (up to 2025-01-31), making it potentially better informed about events through that date compared to Gemma 3 4B (2024-08-01).

Gemini 3.1 Pro

Jan 2025

5 mo newer
Gemma 3 4B

Aug 2024

Provider Availability

Gemini 3.1 Pro is available from Google. Gemma 3 4B is available from DeepInfra.

Gemini 3.1 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $15.00/1M

Gemma 3 4B

deepinfra logo
Deepinfra
Input Price:Input: $0.02/1MOutput Price:Output: $0.04/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (1,048,576 tokens)
Higher GPQA score (94.3% vs 30.8%)
Google
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
Google
Gemma 3 4B

FAQ

Common questions about Gemini 3.1 Pro vs Gemma 3 4B.

Which is better, Gemini 3.1 Pro or Gemma 3 4B?

Gemini 3.1 Pro significantly outperforms across most benchmarks. Gemini 3.1 Pro is made by Google and Gemma 3 4B is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 3.1 Pro compare to Gemma 3 4B in benchmarks?

Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%. Gemma 3 4B scores IFEval: 90.2%, GSM8k: 89.2%, DocVQA: 75.8%, MATH: 75.6%, AI2D: 74.8%.

Is Gemini 3.1 Pro cheaper than Gemma 3 4B?

Gemma 3 4B is 125.0x cheaper for input tokens. Gemini 3.1 Pro costs $2.50/M input and $15.00/M output via google. Gemma 3 4B costs $0.02/M input and $0.04/M output via deepinfra.

What are the context window sizes for Gemini 3.1 Pro and Gemma 3 4B?

Gemini 3.1 Pro supports 1.0M tokens and Gemma 3 4B supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.1 Pro and Gemma 3 4B?

Key differences include context window (1.0M vs 131K), input pricing ($2.50 vs $0.02/M), licensing (Proprietary vs Gemma). See the full comparison above for benchmark-by-benchmark results.

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