Model Comparison

Gemma 4 E2B vs GPT-5.6 SolWhich is better in 2026?

GPT-5.6 Sol significantly outperforms across most benchmarks.

Verdict: Gemma 4 E2B vs GPT-5.6 Sol — which is better?

Gemma 4 E2B (by Google) and GPT-5.6 Sol (by OpenAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Gemma 4 E2B outperforms in 0 benchmarks, while GPT-5.6 Sol is better at 3 benchmarks (GPQA, MMMU-Pro, MRCR v2 (8-needle)). GPT-5.6 Sol significantly outperforms across most benchmarks.

Choose Gemma 4 E2B if…

  • you need open weights you can self-host or fine-tune

Choose GPT-5.6 Sol if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you want the most recent training data — it shipped Jul 2026

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemma 4 E2B outperforms in 0 benchmarks, while GPT-5.6 Sol is better at 3 benchmarks (GPQA, MMMU-Pro, MRCR v2 (8-needle)).

GPT-5.6 Sol significantly outperforms across most benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-5.6 Sol specifies input context (1,050,000 tokens). Only GPT-5.6 Sol specifies output context (128,000 tokens).

Google
Gemma 4 E2B
Input- tokens
Output- tokens
OpenAI
GPT-5.6 Sol
Input1,050,000 tokens
Output128,000 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 4 E2B and GPT-5.6 Sol 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-5.6 Sol

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 4 E2B is licensed under Apache 2.0, while GPT-5.6 Sol 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-5.6 Sol

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 4 E2B was released on 2026-04-02, while GPT-5.6 Sol was released on 2026-07-09.

GPT-5.6 Sol is 3 months newer than Gemma 4 E2B.

Gemma 4 E2B

Apr 2, 2026

3 months ago

GPT-5.6 Sol

Jul 9, 2026

1 weeks ago

3mo newer

Knowledge Cutoff

When training data ends

Gemma 4 E2B has a knowledge cutoff of 2025-01-01, while GPT-5.6 Sol has a cutoff of 2026-02-16.

GPT-5.6 Sol has more recent training data (up to 2026-02-16), making it potentially better informed about events through that date compared to Gemma 4 E2B (2025-01-01).

Gemma 4 E2B

Jan 2025

GPT-5.6 Sol

Feb 2026

1.1 yr newer

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Has open weights
OpenAI
Larger context window (1,050,000 tokens)
Higher GPQA score (94.6% vs 43.4%)
Higher MMMU-Pro score (83.0% vs 44.2%)
Higher MRCR v2 (8-needle) score (91.5% vs 19.1%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemma 4 E2B and GPT-5.6 Sol side-by-side, then vote on the output you prefer.

Gemma 4 E2B
✓ Preferred
GPT-5.6 Sol
Open in Playground
AI Model Comparison Table
Feature
Google
Gemma 4 E2B
OpenAI
GPT-5.6 Sol

FAQ

Common questions about Gemma 4 E2B vs GPT-5.6 Sol.

Which is better, Gemma 4 E2B or GPT-5.6 Sol?

GPT-5.6 Sol significantly outperforms across most benchmarks. Gemma 4 E2B is made by Google and GPT-5.6 Sol is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemma 4 E2B compare to GPT-5.6 Sol 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-5.6 Sol scores Connectors: 100.0%, Capture-the-Flag Challenges (Internal): 96.7%, HealthBench Consensus: 95.5%, GPQA: 94.6%, MRCR v2 (8-needle): 91.5%.

What are the context window sizes for Gemma 4 E2B and GPT-5.6 Sol?

Gemma 4 E2B supports an unknown number of tokens and GPT-5.6 Sol 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-5.6 Sol?

Key differences include licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 4 E2B and GPT-5.6 Sol?

Gemma 4 E2B is developed by Google and GPT-5.6 Sol is developed by OpenAI.

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