Gemma 4 E4B vs GPT-6 Astra
GPT-6 Astra leads the LLM Stats Score 60.3 to 13.9. Gemma 4 E4B is 500.0x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
GPT-6 Astra leads the overall LLM Stats Score 60.3 to 13.9, ranking #1 overall.
In the 1 individual benchmarks reported for both models, GPT-6 Astra wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Gemma 4 E4B is roughly 500.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6 Astra 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 E4B
- cost matters — it's about 500.0x cheaper per token
- you need open weights you can self-host or fine-tune
Choose GPT-6 Astra
- overall performance matters — it scores 60.3 and ranks #1 on LLM Stats
- your work emphasizes reasoning and agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- 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.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
11 reported for Gemma 4 E4B · 22 for GPT-6 Astra
Gemma 4 E4B outperforms in 0 benchmarks, while GPT-6 Astra is better at 1 benchmark (GPQA).
GPT-6 Astra significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemma 4 E4B ($0.02/1M tokens) is 500.0x cheaper than GPT-6 Astra ($10.00/1M tokens).
For output processing, Gemma 4 E4B ($0.10/1M tokens) is 500.0x cheaper than GPT-6 Astra ($50.00/1M tokens).
In conclusion, GPT-6 Astra is more expensive than Gemma 4 E4B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6 Astra accepts 1,050,000 input tokens compared to Gemma 4 E4B's 131,072 tokens. Gemma 4 E4B can generate longer responses up to 131,072 tokens, while GPT-6 Astra is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemma 4 E4B and GPT-6 Astra support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 4 E4B
GPT-6 Astra
License
Usage and distribution terms
Gemma 4 E4B is licensed under Apache 2.0, while GPT-6 Astra 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 E4B was released on 2026-04-02, while GPT-6 Astra was released on 2026-09-04.
GPT-6 Astra is 5 months newer than Gemma 4 E4B.
Apr 2, 2026
5 months ago
Sep 4, 2026
4 days ago
5mo newerKnowledge Cutoff
When training data ends
Gemma 4 E4B has a knowledge cutoff of 2025-01-01, while GPT-6 Astra has a cutoff of 2026-04-30.
GPT-6 Astra has more recent training data (up to 2026-04-30), making it potentially better informed about events through that date compared to Gemma 4 E4B (2025-01-01).
Jan 2025
Apr 2026
1.3 yr newerProvider Availability
Gemma 4 E4B is available from DeepInfra. GPT-6 Astra is available from OpenAI.
Gemma 4 E4B
GPT-6 Astra
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 4 E4B and GPT-6 Astra side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 4 E4B vs GPT-6 Astra.