Gemini 3.7 Flash vs GPT-5.6 Terra
Gemini 3.7 Flash and GPT-5.6 Terra are closely matched at 49.1 and 51.0 on the LLM Stats Score. Gemini 3.7 Flash is 3.0x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
Gemini 3.7 Flash and GPT-5.6 Terra are closely matched on the overall LLM Stats Score at 49.1 and 51.0.
In the 9 individual benchmarks reported for both models, Gemini 3.7 Flash wins 5; this is a narrower head-to-head signal than the composite indexes.
On price, Gemini 3.7 Flash is roughly 3.0x 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.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemini 3.7 Flash
- you value its reported benchmark strengths — it wins 5 of 9 exact shared results
- cost matters — it's about 3.0x cheaper per token
- you want the most recent training data — it shipped Aug 2026
Choose GPT-5.6 Terra
- you process long inputs — it offers a 1,050,000 token context window
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
18 reported for Gemini 3.7 Flash · 45 for GPT-5.6 Terra
Gemini 3.7 Flash outperforms in 5 benchmarks (Artificial Analysis, AutomationBench, FrontierCode 1.1, GDP.pdf, MRCR v2 (8-needle)), while GPT-5.6 Terra is better at 4 benchmarks (Agents' Last Exam, DeepSWE 1.1, OSWorld 2.0, Terminal-Bench 2.1).
Gemini 3.7 Flash has a slight edge in benchmark performance.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.7 Flash ($0.75/1M tokens) is 2.7x cheaper than GPT-5.6 Terra ($2.00/1M tokens).
For output processing, Gemini 3.7 Flash ($3.75/1M tokens) is 3.2x cheaper than GPT-5.6 Terra ($12.00/1M tokens).
In conclusion, GPT-5.6 Terra is more expensive than Gemini 3.7 Flash.*
* 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 3.7 Flash's 1,000,000 tokens. Gemini 3.7 Flash can generate longer responses up to 1,000,000 tokens, while GPT-5.6 Terra is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 3.7 Flash and GPT-5.6 Terra support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3.7 Flash
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 3.7 Flash was released on 2026-08-13, while GPT-5.6 Terra was released on 2026-07-09.
Gemini 3.7 Flash is 1 month newer than GPT-5.6 Terra.
Aug 13, 2026
3 weeks ago
1mo newerJul 9, 2026
2 months ago
Knowledge Cutoff
When training data ends
Gemini 3.7 Flash has a knowledge cutoff of 2026-03-31, while GPT-5.6 Terra has a cutoff of 2026-02-16.
Gemini 3.7 Flash 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 3.7 Flash is available from DeepInfra, Google. GPT-5.6 Terra is available from OpenAI.
Gemini 3.7 Flash
GPT-5.6 Terra
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3.7 Flash and GPT-5.6 Terra side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3.7 Flash vs GPT-5.6 Terra.