Gemini 2.0 Flash-Lite vs GPT-6.1 Terra
GPT-6.1 Terra leads the LLM Stats Score 47.5 to 11.8. Gemini 2.0 Flash-Lite is 15.7x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
GPT-6.1 Terra leads the overall LLM Stats Score 47.5 to 11.8, ranking #36 overall.
On price, Gemini 2.0 Flash-Lite is roughly 15.7x 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 Gemini 2.0 Flash-Lite
- cost matters — it's about 15.7x cheaper per token
Choose GPT-6.1 Terra
- overall performance matters — it scores 47.5 and ranks #36 on LLM Stats
- your work emphasizes reasoning — 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
13 reported for Gemini 2.0 Flash-Lite · 8 for GPT-6.1 Terra
Gemini 2.0 Flash-Lite 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, Gemini 2.0 Flash-Lite ($0.07/1M tokens) is 14.3x cheaper than GPT-6.1 Terra ($1.00/1M tokens).
For output processing, Gemini 2.0 Flash-Lite ($0.30/1M tokens) is 16.7x cheaper than GPT-6.1 Terra ($5.00/1M tokens).
In conclusion, GPT-6.1 Terra is more expensive than Gemini 2.0 Flash-Lite.*
* 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 Gemini 2.0 Flash-Lite's 1,048,576 tokens. GPT-6.1 Terra can generate longer responses up to 128,000 tokens, while Gemini 2.0 Flash-Lite is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 2.0 Flash-Lite and GPT-6.1 Terra support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 2.0 Flash-Lite
GPT-6.1 Terra
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Gemini 2.0 Flash-Lite was released on 2025-02-05, while GPT-6.1 Terra was released on 2026-10-26.
GPT-6.1 Terra is 21 months newer than Gemini 2.0 Flash-Lite.
Feb 5, 2025
1.7 years ago
Oct 26, 2026
3 days ago
1.7yr newerKnowledge Cutoff
When training data ends
Gemini 2.0 Flash-Lite has a knowledge cutoff of 2024-06-01, 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 Gemini 2.0 Flash-Lite (2024-06-01).
Jun 2024
Jun 2026
2 yr newerProvider Availability
Gemini 2.0 Flash-Lite is available from Google. GPT-6.1 Terra is available from OpenAI.
Gemini 2.0 Flash-Lite
GPT-6.1 Terra
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 2.0 Flash-Lite and GPT-6.1 Terra side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 2.0 Flash-Lite vs GPT-6.1 Terra.