Model Comparison

Gemini 3 Flash vs Granite 3.3 8B BaseWhich is better in 2026?

Comparing Gemini 3 Flash and Granite 3.3 8B Base across benchmarks, pricing, and capabilities.

Verdict: Gemini 3 Flash vs Granite 3.3 8B Base — which is better?

Gemini 3 Flash (by Google) and Granite 3.3 8B Base (by IBM) 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.

Choose Gemini 3 Flash if…

  • you want the most recent training data — it shipped Dec 2025

Choose Granite 3.3 8B Base if…

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

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3 Flash and Granite 3.3 8B Base don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 3 Flash specifies input context (1,000,000 tokens). Only Gemini 3 Flash specifies output context (65,536 tokens).

Google
Gemini 3 Flash
Input1,000,000 tokens
Output65,536 tokens
IBM
Granite 3.3 8B Base
Input- tokens
Output- tokens
Sun Jun 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3 Flash and Granite 3.3 8B Base support multimodal inputs.

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

Gemini 3 Flash

Text
Images
Audio
Video

Granite 3.3 8B Base

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3 Flash is licensed under a proprietary license, while Granite 3.3 8B Base uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 3 Flash

Proprietary

Closed source

Granite 3.3 8B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3 Flash was released on 2025-12-17, while Granite 3.3 8B Base was released on 2025-04-16.

Gemini 3 Flash is 8 months newer than Granite 3.3 8B Base.

Gemini 3 Flash

Dec 17, 2025

5 months ago

8mo newer
Granite 3.3 8B Base

Apr 16, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

Gemini 3 Flash has a knowledge cutoff of 2025-01-31, while Granite 3.3 8B Base has a cutoff of 2024-04-01.

Gemini 3 Flash has more recent training data (up to 2025-01-31), making it potentially better informed about events through that date compared to Granite 3.3 8B Base (2024-04-01).

Gemini 3 Flash

Jan 2025

9 mo newer
Granite 3.3 8B Base

Apr 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (1,000,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3 Flash
IBM
Granite 3.3 8B Base

FAQ

Common questions about Gemini 3 Flash vs Granite 3.3 8B Base.

Which is better, Gemini 3 Flash or Granite 3.3 8B Base?

Gemini 3 Flash (Google) and Granite 3.3 8B Base (IBM) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 3 Flash compare to Granite 3.3 8B Base in benchmarks?

Gemini 3 Flash scores Vending-Bench 2: 100.0%, AIME 2025: 99.7%, Global PIQA: 92.8%, MMMLU: 91.8%, GPQA: 90.4%. Granite 3.3 8B Base scores HumanEval: 89.7%, AttaQ: 88.5%, HumanEval+: 86.1%, AIME 2024: 81.2%, HellaSwag: 80.1%.

What are the context window sizes for Gemini 3 Flash and Granite 3.3 8B Base?

Gemini 3 Flash supports 1.0M tokens and Granite 3.3 8B Base supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3 Flash and Granite 3.3 8B Base?

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

Who makes Gemini 3 Flash and Granite 3.3 8B Base?

Gemini 3 Flash is developed by Google and Granite 3.3 8B Base is developed by IBM.