Gemini 3.7 Flash vs GPT-5.6 Sol
GPT-5.6 Sol leads the LLM Stats Score 57.2 to 50.9. Gemini 3.7 Flash is 7.5x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
GPT-5.6 Sol leads the overall LLM Stats Score 57.2 to 50.9, ranking #1 overall.
In the 9 individual benchmarks reported for both models, GPT-5.6 Sol wins 6; this is a narrower head-to-head signal than the composite indexes.
On price, Gemini 3.7 Flash is roughly 7.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.6 Sol 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
- cost matters — it's about 7.5x cheaper per token
- you want the most recent training data — it shipped Aug 2026
Choose GPT-5.6 Sol
- overall performance matters — it scores 57.2 and ranks #1 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 6 of 9 exact shared results
- 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 · 44 for GPT-5.6 Sol
Gemini 3.7 Flash outperforms in 3 benchmarks (AutomationBench, GDP.pdf, MRCR v2 (8-needle)), while GPT-5.6 Sol is better at 6 benchmarks (Agents' Last Exam, Artificial Analysis, DeepSWE 1.1, FrontierCode 1.1, OSWorld 2.0, Terminal-Bench 2.1).
GPT-5.6 Sol shows notably better performance in the majority of benchmarks.
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 6.7x cheaper than GPT-5.6 Sol ($5.00/1M tokens).
For output processing, Gemini 3.7 Flash ($3.75/1M tokens) is 8.0x cheaper than GPT-5.6 Sol ($30.00/1M tokens).
In conclusion, GPT-5.6 Sol 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 Sol accepts 1,050,000 input tokens compared to Gemini 3.7 Flash's 1,048,576 tokens. GPT-5.6 Sol can generate longer responses up to 128,000 tokens, while Gemini 3.7 Flash is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 3.7 Flash and GPT-5.6 Sol support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3.7 Flash
GPT-5.6 Sol
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 Sol was released on 2026-07-09.
Gemini 3.7 Flash is 1 month newer than GPT-5.6 Sol.
Aug 13, 2026
2 weeks ago
1mo newerJul 9, 2026
1 months ago
Knowledge Cutoff
When training data ends
Gemini 3.7 Flash has a knowledge cutoff of 2026-03-31, while GPT-5.6 Sol 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 Sol (2026-02-16).
Mar 2026
1 mo newerFeb 2026
Provider Availability
Gemini 3.7 Flash is available from Google. GPT-5.6 Sol is available from OpenAI.
Gemini 3.7 Flash
GPT-5.6 Sol
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3.7 Flash and GPT-5.6 Sol side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3.7 Flash vs GPT-5.6 Sol.