Model Comparison
Gemini 3.1 Pro vs Granite 3.3 8B InstructWhich is better in 2026?
Comparing Gemini 3.1 Pro and Granite 3.3 8B Instruct across benchmarks, pricing, and capabilities.
Verdict: Gemini 3.1 Pro vs Granite 3.3 8B Instruct — which is better?
Gemini 3.1 Pro (by Google) and Granite 3.3 8B Instruct (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.
On price, Granite 3.3 8B Instruct is roughly 11.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3.1 Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemini 3.1 Pro if…
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Feb 2026
Choose Granite 3.3 8B Instruct if…
- cost matters — it's about 11.3x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3.1 Pro and Granite 3.3 8B Instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.1 Pro ($2.50/1M tokens) is 5.0x more expensive than Granite 3.3 8B Instruct ($0.50/1M tokens).
For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 30.0x more expensive than Granite 3.3 8B Instruct ($0.50/1M tokens).
In conclusion, Gemini 3.1 Pro is more expensive than Granite 3.3 8B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3.1 Pro accepts 1,048,576 input tokens compared to Granite 3.3 8B Instruct's 128,000 tokens. Gemini 3.1 Pro can generate longer responses up to 65,536 tokens, while Granite 3.3 8B Instruct is limited to 8,192 tokens.
Input Capabilities
Supported data types and modalities
Both Gemini 3.1 Pro and Granite 3.3 8B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3.1 Pro
Granite 3.3 8B Instruct
License
Usage and distribution terms
Gemini 3.1 Pro is licensed under a proprietary license, while Granite 3.3 8B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Gemini 3.1 Pro was released on 2026-02-19, while Granite 3.3 8B Instruct was released on 2025-04-16.
Gemini 3.1 Pro is 10 months newer than Granite 3.3 8B Instruct.
Feb 19, 2026
3 months ago
10mo newerApr 16, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
Gemini 3.1 Pro has a knowledge cutoff of 2025-01-31, while Granite 3.3 8B Instruct has a cutoff of 2024-04-01.
Gemini 3.1 Pro 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 Instruct (2024-04-01).
Jan 2025
9 mo newerApr 2024
Provider Availability
Gemini 3.1 Pro is available from Google. Granite 3.3 8B Instruct is available from Replicate.
Gemini 3.1 Pro
Granite 3.3 8B Instruct
Outputs Comparison
Key Takeaways
Detailed Comparison
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FAQ
Common questions about Gemini 3.1 Pro vs Granite 3.3 8B Instruct.