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Gemma 4 E2B vs Grok 4.7

Grok 4.7 leads the LLM Stats Score 48.5 to 6.7.

Google · xAI · Updated for 2026

Which is better?

Grok 4.7 leads the overall LLM Stats Score 48.5 to 6.7, ranking #23 overall.

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 Grok 4.7

  • overall performance matters — it scores 48.5 and ranks #23 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Core performance indexes
6.7
#294
48.5
#23
5.6
#294
37.4
#69
-3.6
#182
36.1
#19
Cost, coverage & limits
Benchmark wins
Input price
— / M
$2.00 / M
Output price
— / M
$6.00 / M
Context window
500,000

Individual benchmarks

11 reported for Gemma 4 E2B · 23 for Grok 4.7

No common benchmarks found

Gemma 4 E2B and Grok 4.7don'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

Context Window

Maximum input and output token capacity

Only Grok 4.7 specifies input context (500,000 tokens).

Google
Gemma 4 E2B
Input- tokens
Output- tokens
xAI
Grok 4.7
Input500,000 tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemma 4 E2B and Grok 4.7 support multimodal inputs.

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

Gemma 4 E2B

Text
Images
Audio
Video

Grok 4.7

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 4 E2B is licensed under Apache 2.0, while Grok 4.7 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

Grok 4.7

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 4 E2B was released on 2026-04-02, while Grok 4.7 was released on 2026-09-21.

Grok 4.7 is 6 months newer than Gemma 4 E2B.

Gemma 4 E2B

Apr 2, 2026

5 months ago

Grok 4.7

Sep 21, 2026

1 days ago

5mo newer

Knowledge Cutoff

When training data ends

Gemma 4 E2B has a knowledge cutoff of 2025-01-01, while Grok 4.7 has a cutoff of 2026-06-01.

Grok 4.7 has more recent training data (up to 2026-06-01), making it potentially better informed about events through that date compared to Gemma 4 E2B (2025-01-01).

Gemma 4 E2B

Jan 2025

Grok 4.7

Jun 2026

1.4 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 Grok 4.7 side-by-side, then vote on the output you prefer.

Gemma 4 E2B
✓ Preferred
Grok 4.7
Open in Playground

FAQ

Common questions about Gemma 4 E2B vs Grok 4.7.

Which is better, Gemma 4 E2B or Grok 4.7?

Grok 4.7 leads the LLM Stats Score 48.5 to 6.7. Gemma 4 E2B is made by Google and Grok 4.7 is made by xAI. 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 Grok 4.7 in benchmarks?

Gemma 4 E2B scores MMMLU: 67.4%, MMLU-Pro: 60.0%, MathVision: 52.4%, MMMU-Pro: 44.2%, LiveCodeBench v6: 44.0%. Grok 4.7 scores BixBench MCQ: 88.4%, WMDP-Bio: 88.1%, WMDP-Cyber: 88.1%, WMDP-Chem: 84.9%, CyberGym: 80.3%.

What are the context window sizes for Gemma 4 E2B and Grok 4.7?

Gemma 4 E2B supports an unknown number of tokens and Grok 4.7 supports 500K 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 Grok 4.7?

Key differences include LLM Stats Score (6.7 vs 48.5), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 4 E2B and Grok 4.7?

Gemma 4 E2B is developed by Google and Grok 4.7 is developed by xAI.