Gemini 3.5 Flash-Lite vs GPT-5.6 Sol
GPT-5.6 Sol leads the LLM Stats Score 55.0 to 29.9. Gemini 3.5 Flash-Lite is 13.2x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
GPT-5.6 Sol leads the overall LLM Stats Score 55.0 to 29.9, ranking #3 overall.
In the 3 individual benchmarks reported for both models, GPT-5.6 Sol wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Gemini 3.5 Flash-Lite is roughly 13.2x 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 3.5 Flash-Lite
- cost matters — it's about 13.2x cheaper per token
- you want the most recent training data — it shipped Jul 2026
Choose GPT-5.6 Sol
- overall performance matters — it scores 55.0 and ranks #3 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 3 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
6 reported for Gemini 3.5 Flash-Lite · 45 for GPT-5.6 Sol
Gemini 3.5 Flash-Lite outperforms in 0 benchmarks, while GPT-5.6 Sol is better at 3 benchmarks (MRCR v2 (8-needle), SWE-Bench Pro, Terminal-Bench 2.1).
GPT-5.6 Sol significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.5 Flash-Lite ($0.30/1M tokens) is 16.7x cheaper than GPT-5.6 Sol ($5.00/1M tokens).
For output processing, Gemini 3.5 Flash-Lite ($2.50/1M tokens) is 12.0x cheaper than GPT-5.6 Sol ($30.00/1M tokens).
In conclusion, GPT-5.6 Sol 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 Sol accepts 1,050,000 input tokens compared to Gemini 3.5 Flash-Lite's 1,048,576 tokens. GPT-5.6 Sol can generate longer responses up to 128,000 tokens, while Gemini 3.5 Flash-Lite is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 3.5 Flash-Lite and GPT-5.6 Sol 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 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 3.5 Flash-Lite was released on 2026-07-21, while GPT-5.6 Sol was released on 2026-07-09.
Gemini 3.5 Flash-Lite is 0 month newer than GPT-5.6 Sol.
Jul 21, 2026
1 months ago
1w newerJul 9, 2026
2 months ago
Knowledge Cutoff
When training data ends
Gemini 3.5 Flash-Lite has a knowledge cutoff of 2026-03-31, while GPT-5.6 Sol 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 Sol (2026-02-16).
Mar 2026
1 mo newerFeb 2026
Provider Availability
Gemini 3.5 Flash-Lite is available from Google. GPT-5.6 Sol is available from OpenAI.
Gemini 3.5 Flash-Lite
GPT-5.6 Sol
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3.5 Flash-Lite and GPT-5.6 Sol side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3.5 Flash-Lite vs GPT-5.6 Sol.