Gemma 4 31B vs GPT-6.1 Terra
GPT-6.1 Terra leads the LLM Stats Score 47.5 to 32.5. Gemma 4 31B is 13.1x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
GPT-6.1 Terra leads the overall LLM Stats Score 47.5 to 32.5, ranking #36 overall.
On price, Gemma 4 31B is roughly 13.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6.1 Terra also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemma 4 31B
- cost matters — it's about 13.1x cheaper per token
- you need open weights you can self-host or fine-tune
Choose GPT-6.1 Terra
- overall performance matters — it scores 47.5 and ranks #36 on LLM Stats
- your work emphasizes reasoning and agents — it leads those capability indexes
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Individual benchmarks
12 reported for Gemma 4 31B · 8 for GPT-6.1 Terra
Gemma 4 31B and GPT-6.1 Terradon'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
Pricing Analysis
Price comparison per million tokens
For input processing, Gemma 4 31B ($0.09/1M tokens) is 11.1x cheaper than GPT-6.1 Terra ($1.00/1M tokens).
For output processing, Gemma 4 31B ($0.34/1M tokens) is 14.7x cheaper than GPT-6.1 Terra ($5.00/1M tokens).
In conclusion, GPT-6.1 Terra 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-6.1 Terra accepts 1,050,000 input tokens compared to Gemma 4 31B's 262,144 tokens. Gemma 4 31B can generate longer responses up to 262,144 tokens, while GPT-6.1 Terra is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemma 4 31B and GPT-6.1 Terra support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 4 31B
GPT-6.1 Terra
License
Usage and distribution terms
Gemma 4 31B is licensed under Apache 2.0, while GPT-6.1 Terra 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-6.1 Terra was released on 2026-10-26.
GPT-6.1 Terra is 7 months newer than Gemma 4 31B.
Apr 2, 2026
6 months ago
Oct 26, 2026
-1 days ago
6mo newerKnowledge Cutoff
When training data ends
Gemma 4 31B has a knowledge cutoff of 2025-01-01, while GPT-6.1 Terra has a cutoff of 2026-06-01.
GPT-6.1 Terra has more recent training data (up to 2026-06-01), making it potentially better informed about events through that date compared to Gemma 4 31B (2025-01-01).
Jan 2025
Jun 2026
1.4 yr newerProvider Availability
Gemma 4 31B is available from DeepInfra, FriendliAI, Novita, Together. GPT-6.1 Terra is available from OpenAI.
Gemma 4 31B
GPT-6.1 Terra
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 4 31B and GPT-6.1 Terra side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 4 31B vs GPT-6.1 Terra.