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Gemma 4 E2B vs GPT-6 Astra

GPT-6 Astra leads the LLM Stats Score 60.3 to 6.8.

Google · OpenAI · Updated for 2026

Which is better?

GPT-6 Astra leads the overall LLM Stats Score 60.3 to 6.8, 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.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemma 4 E2B

  • 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 want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Gemma 4 E2B
Google
GPT-6 Astra
OpenAI
Core performance indexes
LLM Stats Score
6.8
#289
60.3
#1
Reasoning
5.7
#290
58.2
#1
Agents
-3.6
#177
46.4
#1
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$10.00 / M
Output price
— / M
$50.00 / M
Context window
—
1,050,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Gemma 4 E2B
GPT-6 Astra
Math
5.7#269
35.9#42
Vision
0.7#176
41.7#1
Multimodal
2.9#143
39.0#2
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for Gemma 4 E2B · 22 for GPT-6 Astra

1 shared

Gemma 4 E2B outperforms in 0 benchmarks, while GPT-6 Astra is better at 1 benchmark (GPQA).

GPT-6 Astra significantly outperforms across most benchmarks.

Tue Sep 08 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-6 Astra specifies input context (1,050,000 tokens). Only GPT-6 Astra specifies output context (128,000 tokens).

Google
Gemma 4 E2B
Input- tokens
Output- tokens
OpenAI
GPT-6 Astra
Input1,050,000 tokens
Output128,000 tokens
Tue Sep 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemma 4 E2B and GPT-6 Astra support multimodal inputs.

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

Gemma 4 E2B

Text
Images
Audio
Video

GPT-6 Astra

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 4 E2B 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.

Gemma 4 E2B

Apache 2.0

Open weights

GPT-6 Astra

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 4 E2B 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 E2B.

Gemma 4 E2B

Apr 2, 2026

5 months ago

GPT-6 Astra

Sep 4, 2026

4 days ago

5mo newer

Knowledge Cutoff

When training data ends

Gemma 4 E2B 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 E2B (2025-01-01).

Gemma 4 E2B

Jan 2025

GPT-6 Astra

Apr 2026

1.3 yr newer

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemma 4 E2B and GPT-6 Astra side-by-side, then vote on the output you prefer.

Gemma 4 E2B
✓ Preferred
GPT-6 Astra
Open in Playground

FAQ

Common questions about Gemma 4 E2B vs GPT-6 Astra.

Which is better, Gemma 4 E2B or GPT-6 Astra?

GPT-6 Astra leads the LLM Stats Score 60.3 to 6.8. Gemma 4 E2B is made by Google and GPT-6 Astra 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 4 E2B compare to GPT-6 Astra in benchmarks?

Gemma 4 E2B scores MMMLU: 67.4%, MMLU-Pro: 60.0%, MathVision: 52.4%, MMMU-Pro: 44.2%, LiveCodeBench v6: 44.0%. GPT-6 Astra scores ExploitBench: 100.0%, ARC-AGI-3: 99.9%, ARC-AGI: 98.5%, FrontierMath Tier 4 (v2): 97.6%, GPQA: 96.0%.

What are the context window sizes for Gemma 4 E2B and GPT-6 Astra?

Gemma 4 E2B supports an unknown number of tokens and GPT-6 Astra 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 4 E2B and GPT-6 Astra?

Key differences include LLM Stats Score (6.8 vs 60.3), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 4 E2B and GPT-6 Astra?

Gemma 4 E2B is developed by Google and GPT-6 Astra is developed by OpenAI.

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