Gemma 4 26B-A4B vs GPT-6 Luna
GPT-6 Luna leads the LLM Stats Score 44.5 to 29.6. Gemma 4 26B-A4B is 1.5x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
GPT-6 Luna leads the overall LLM Stats Score 44.5 to 29.6, ranking #41 overall.
On price, Gemma 4 26B-A4B is roughly 1.5x 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 4 26B-A4B
- cost matters — it's about 1.5x 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 agents — 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.
Individual benchmarks
12 reported for Gemma 4 26B-A4B · 5 for GPT-6 Luna
Gemma 4 26B-A4B 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
For input processing, Gemma 4 26B-A4B ($0.07/1M tokens) is 1.4x cheaper than GPT-6 Luna ($0.10/1M tokens).
For output processing, Gemma 4 26B-A4B ($0.34/1M tokens) is 1.5x cheaper than GPT-6 Luna ($0.50/1M tokens).
In conclusion, GPT-6 Luna is more expensive than Gemma 4 26B-A4B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6 Luna accepts 1,050,000 input tokens compared to Gemma 4 26B-A4B's 262,144 tokens. Gemma 4 26B-A4B can generate longer responses up to 262,144 tokens, while GPT-6 Luna is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemma 4 26B-A4B and GPT-6 Luna support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 4 26B-A4B
GPT-6 Luna
License
Usage and distribution terms
Gemma 4 26B-A4B is licensed under Apache 2.0, while GPT-6 Luna uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Gemma 4 26B-A4B was released on 2026-04-02, while GPT-6 Luna was released on 2026-09-22.
GPT-6 Luna is 6 months newer than Gemma 4 26B-A4B.
Apr 2, 2026
5 months ago
Sep 22, 2026
0 days ago
5mo newerKnowledge Cutoff
When training data ends
Gemma 4 26B-A4B has a knowledge cutoff of 2025-01-01, 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 4 26B-A4B (2025-01-01).
Jan 2025
May 2026
1.3 yr newerProvider Availability
Gemma 4 26B-A4B is available from DeepInfra, Novita. GPT-6 Luna is available from OpenAI.
Gemma 4 26B-A4B
GPT-6 Luna
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 4 26B-A4B and GPT-6 Luna side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 4 26B-A4B vs GPT-6 Luna.