Model Comparison
Gemma 4 31B vs GPT-5.5 ProWhich is better in 2026?
GPT-5.5 Pro significantly outperforms across most benchmarks. Gemma 4 31B is 350.6x cheaper per token.
Verdict: Gemma 4 31B vs GPT-5.5 Pro — which is better?
Gemma 4 31B (by Google) and GPT-5.5 Pro (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 31B outperforms in 0 benchmarks, while GPT-5.5 Pro is better at 1 benchmark (Humanity's Last Exam). GPT-5.5 Pro significantly outperforms across most benchmarks.
On price, Gemma 4 31B is roughly 350.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.5 Pro also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemma 4 31B if…
- cost matters — it's about 350.6x cheaper per token
- you need open weights you can self-host or fine-tune
Choose GPT-5.5 Pro if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Apr 2026
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 4 31B outperforms in 0 benchmarks, while GPT-5.5 Pro is better at 1 benchmark (Humanity's Last Exam).
GPT-5.5 Pro significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemma 4 31B ($0.13/1M tokens) is 230.8x cheaper than GPT-5.5 Pro ($30.00/1M tokens).
For output processing, Gemma 4 31B ($0.38/1M tokens) is 473.7x cheaper than GPT-5.5 Pro ($180.00/1M tokens).
In conclusion, GPT-5.5 Pro is more expensive than Gemma 4 31B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5.5 Pro accepts 1,050,000 input tokens compared to Gemma 4 31B's 262,144 tokens. Gemma 4 31B can generate longer responses up to 131,072 tokens, while GPT-5.5 Pro is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Both Gemma 4 31B and GPT-5.5 Pro support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 4 31B
GPT-5.5 Pro
License
Usage and distribution terms
Gemma 4 31B is licensed under Apache 2.0, while GPT-5.5 Pro uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Gemma 4 31B was released on 2026-04-02, while GPT-5.5 Pro was released on 2026-04-23.
GPT-5.5 Pro is 1 month newer than Gemma 4 31B.
Apr 2, 2026
3 months ago
Apr 23, 2026
2 months ago
3w newerKnowledge Cutoff
When training data ends
Gemma 4 31B has a knowledge cutoff of 2025-01-01, while GPT-5.5 Pro has a cutoff of 2025-12-01.
GPT-5.5 Pro has more recent training data (up to 2025-12-01), making it potentially better informed about events through that date compared to Gemma 4 31B (2025-01-01).
Jan 2025
Dec 2025
11 mo newerProvider Availability
Gemma 4 31B is available from DeepInfra, FriendliAI, Novita, Together. GPT-5.5 Pro is available from OpenAI.
Gemma 4 31B
GPT-5.5 Pro
Outputs Comparison
Key Takeaways
Gemma 4 31B
View detailsGPT-5.5 Pro
View detailsOpenAI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemma 4 31B and GPT-5.5 Pro side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Gemma 4 31B vs GPT-5.5 Pro.