Model Comparison
Gemini 3.5 Flash-Lite vs GPT-5.6 TerraWhich is better in 2026?
GPT-5.6 Terra significantly outperforms across most benchmarks. Gemini 3.5 Flash-Lite is 6.6x cheaper per token.
Verdict: Gemini 3.5 Flash-Lite vs GPT-5.6 Terra — which is better?
Gemini 3.5 Flash-Lite (by Google) and GPT-5.6 Terra (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.
Gemini 3.5 Flash-Lite outperforms in 0 benchmarks, while GPT-5.6 Terra is better at 4 benchmarks (GDPval-AA, MRCR v2 (8-needle), SWE-Bench Pro, Terminal-Bench 2.1). GPT-5.6 Terra significantly outperforms across most benchmarks.
On price, Gemini 3.5 Flash-Lite is roughly 6.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.6 Terra also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemini 3.5 Flash-Lite if…
- cost matters — it's about 6.6x cheaper per token
- you want the most recent training data — it shipped Jul 2026
Choose GPT-5.6 Terra if…
- you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
- you process long inputs — it offers a 1,050,000 token context window
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3.5 Flash-Lite outperforms in 0 benchmarks, while GPT-5.6 Terra is better at 4 benchmarks (GDPval-AA, MRCR v2 (8-needle), SWE-Bench Pro, Terminal-Bench 2.1).
GPT-5.6 Terra significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.5 Flash-Lite ($0.30/1M tokens) is 8.3x cheaper than GPT-5.6 Terra ($2.50/1M tokens).
For output processing, Gemini 3.5 Flash-Lite ($2.50/1M tokens) is 6.0x cheaper than GPT-5.6 Terra ($15.00/1M tokens).
In conclusion, GPT-5.6 Terra is more expensive than Gemini 3.5 Flash-Lite.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5.6 Terra accepts 1,050,000 input tokens compared to Gemini 3.5 Flash-Lite's 1,048,576 tokens. GPT-5.6 Terra can generate longer responses up to 128,000 tokens, while Gemini 3.5 Flash-Lite is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Both Gemini 3.5 Flash-Lite and GPT-5.6 Terra support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3.5 Flash-Lite
GPT-5.6 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 3.5 Flash-Lite was released on 2026-07-21, while GPT-5.6 Terra was released on 2026-07-09.
Gemini 3.5 Flash-Lite is 0 month newer than GPT-5.6 Terra.
Jul 21, 2026
0 days ago
1w newerJul 9, 2026
1 weeks ago
Knowledge Cutoff
When training data ends
Gemini 3.5 Flash-Lite has a knowledge cutoff of 2026-03-31, while GPT-5.6 Terra has a cutoff of 2026-02-16.
Gemini 3.5 Flash-Lite has more recent training data (up to 2026-03-31), making it potentially better informed about events through that date compared to GPT-5.6 Terra (2026-02-16).
Mar 2026
1 mo newerFeb 2026
Provider Availability
Gemini 3.5 Flash-Lite is available from Google. GPT-5.6 Terra is available from OpenAI.
Gemini 3.5 Flash-Lite
GPT-5.6 Terra
Outputs Comparison
Key Takeaways
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemini 3.5 Flash-Lite and GPT-5.6 Terra side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Gemini 3.5 Flash-Lite vs GPT-5.6 Terra.