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Gemma 3 4B vs GPT-6 Luna

GPT-6 Luna leads the LLM Stats Score 44.5 to -1.9. Gemma 3 4B is 8.0x cheaper per token.

Google · OpenAI · Updated for 2026

Which is better?

GPT-6 Luna leads the overall LLM Stats Score 44.5 to -1.9, ranking #41 overall.

On price, Gemma 3 4B is roughly 8.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-6 Luna also accepts a larger context window (1,050,000 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 3 4B

  • cost matters — it's about 8.0x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose GPT-6 Luna

  • overall performance matters — it scores 44.5 and ranks #41 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you process long inputs — it offers a 1,050,000 token context window
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Core performance indexes
-1.9
#343
44.5
#41
-2.9
#340
40.0
#58
-4.4
#261
31.4
#47
Cost, coverage & limits
Benchmark wins
Input price
$0.02 / M
$0.10 / M
Output price
$0.04 / M
$0.50 / M
Context window
131,072
1,050,000

Individual benchmarks

26 reported for Gemma 3 4B · 5 for GPT-6 Luna

No common benchmarks found

Gemma 3 4B and GPT-6 Lunadon'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

Pricing Analysis

Price comparison per million tokens

Gemma 3 4B costs less

For input processing, Gemma 3 4B ($0.02/1M tokens) is 5.0x cheaper than GPT-6 Luna ($0.10/1M tokens).

For output processing, Gemma 3 4B ($0.04/1M tokens) is 12.5x cheaper than GPT-6 Luna ($0.50/1M tokens).

In conclusion, GPT-6 Luna is more expensive than Gemma 3 4B.*

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

Lowest available price from all providers
Wed Sep 23 2026 • llm-stats.com
Google
Gemma 3 4B
Input tokens$0.02
Output tokens$0.04
Best providerDeepinfra
OpenAI
GPT-6 Luna
Input tokens$0.10
Output tokens$0.50
Best providerOpenAI
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

GPT-6 Luna accepts 1,050,000 input tokens compared to Gemma 3 4B's 131,072 tokens. Gemma 3 4B can generate longer responses up to 131,072 tokens, while GPT-6 Luna is limited to 128,000 tokens.

Google
Gemma 3 4B
Input131,072 tokens
Output131,072 tokens
OpenAI
GPT-6 Luna
Input1,050,000 tokens
Output128,000 tokens
Wed Sep 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemma 3 4B and GPT-6 Luna support multimodal inputs.

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

Gemma 3 4B

Text
Images
Audio
Video

GPT-6 Luna

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 4B is licensed under Gemma, while GPT-6 Luna uses a proprietary license.

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

Gemma 3 4B

Gemma

Open weights

GPT-6 Luna

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 3 4B was released on 2025-03-12, while GPT-6 Luna was released on 2026-09-22.

GPT-6 Luna is 19 months newer than Gemma 3 4B.

Gemma 3 4B

Mar 12, 2025

1.5 years ago

GPT-6 Luna

Sep 22, 2026

0 days ago

1.5yr newer

Knowledge Cutoff

When training data ends

Gemma 3 4B has a knowledge cutoff of 2024-08-01, while GPT-6 Luna has a cutoff of 2026-05-18.

GPT-6 Luna has more recent training data (up to 2026-05-18), making it potentially better informed about events through that date compared to Gemma 3 4B (2024-08-01).

Gemma 3 4B

Aug 2024

GPT-6 Luna

May 2026

1.8 yr newer

Provider Availability

Gemma 3 4B is available from DeepInfra. GPT-6 Luna is available from OpenAI.

Gemma 3 4B

deepinfra logo
Deepinfra
Input Price:Input: $0.02/1MOutput Price:Output: $0.04/1M

GPT-6 Luna

openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
* 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 3 4B and GPT-6 Luna side-by-side, then vote on the output you prefer.

Gemma 3 4B
✓ Preferred
GPT-6 Luna
Open in Playground

FAQ

Common questions about Gemma 3 4B vs GPT-6 Luna.

Which is better, Gemma 3 4B or GPT-6 Luna?

GPT-6 Luna leads the LLM Stats Score 44.5 to -1.9. Gemma 3 4B is made by Google and GPT-6 Luna is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemma 3 4B compare to GPT-6 Luna in benchmarks?

Gemma 3 4B scores IFEval: 90.2%, GSM8k: 89.2%, DocVQA: 75.8%, MATH: 75.6%, AI2D: 74.8%. GPT-6 Luna scores DeepSWE 1.1: 66.6%, OSWorld 2.0: 52.7%, Agents' Last Exam: 50.9%, FrontierCode 1.1: 42.4%, AutomationBench v1.0.6: 20.7%.

Is Gemma 3 4B cheaper than GPT-6 Luna?

Gemma 3 4B is 5.0x cheaper for input tokens. Gemma 3 4B costs $0.02/M input and $0.04/M output via deepinfra. GPT-6 Luna costs $0.10/M input and $0.50/M output via openai.

What are the context window sizes for Gemma 3 4B and GPT-6 Luna?

Gemma 3 4B supports 131K tokens and GPT-6 Luna supports 1.1M 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 GPT-6 Luna?

Key differences include LLM Stats Score (-1.9 vs 44.5), context window (131K vs 1.1M), input pricing ($0.02 vs $0.10/M), licensing (Gemma vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3 4B and GPT-6 Luna?

Gemma 3 4B is developed by Google and GPT-6 Luna is developed by OpenAI.