Model Comparison
Gemini 2.0 Flash-Lite vs GPT-5.6 SolWhich is better in 2026?
GPT-5.6 Sol significantly outperforms across most benchmarks. Gemini 2.0 Flash-Lite is 88.2x cheaper per token.
Verdict: Gemini 2.0 Flash-Lite vs GPT-5.6 Sol — which is better?
Gemini 2.0 Flash-Lite (by Google) and GPT-5.6 Sol (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 2.0 Flash-Lite outperforms in 0 benchmarks, while GPT-5.6 Sol is better at 1 benchmark (GPQA). GPT-5.6 Sol significantly outperforms across most benchmarks.
On price, Gemini 2.0 Flash-Lite is roughly 88.2x 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.
Choose Gemini 2.0 Flash-Lite if…
- cost matters — it's about 88.2x cheaper per token
Choose GPT-5.6 Sol if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Jul 2026
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 2.0 Flash-Lite outperforms in 0 benchmarks, while GPT-5.6 Sol is better at 1 benchmark (GPQA).
GPT-5.6 Sol significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 2.0 Flash-Lite ($0.07/1M tokens) is 71.4x cheaper than GPT-5.6 Sol ($5.00/1M tokens).
For output processing, Gemini 2.0 Flash-Lite ($0.30/1M tokens) is 100.0x cheaper than GPT-5.6 Sol ($30.00/1M tokens).
In conclusion, GPT-5.6 Sol 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-5.6 Sol accepts 1,050,000 input tokens compared to Gemini 2.0 Flash-Lite's 1,048,576 tokens. GPT-5.6 Sol can generate longer responses up to 128,000 tokens, while Gemini 2.0 Flash-Lite is limited to 8,192 tokens.
Input Capabilities
Supported data types and modalities
Both Gemini 2.0 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 2.0 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 2.0 Flash-Lite was released on 2025-02-05, while GPT-5.6 Sol was released on 2026-07-09.
GPT-5.6 Sol is 17 months newer than Gemini 2.0 Flash-Lite.
Feb 5, 2025
1.4 years ago
Jul 9, 2026
1 weeks ago
1.4yr newerKnowledge Cutoff
When training data ends
Gemini 2.0 Flash-Lite has a knowledge cutoff of 2024-06-01, while GPT-5.6 Sol has a cutoff of 2026-02-16.
GPT-5.6 Sol has more recent training data (up to 2026-02-16), making it potentially better informed about events through that date compared to Gemini 2.0 Flash-Lite (2024-06-01).
Jun 2024
Feb 2026
1.7 yr newerProvider Availability
Gemini 2.0 Flash-Lite is available from Google. GPT-5.6 Sol is available from OpenAI.
Gemini 2.0 Flash-Lite
GPT-5.6 Sol
Outputs Comparison
Key Takeaways
GPT-5.6 Sol
View detailsOpenAI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemini 2.0 Flash-Lite and GPT-5.6 Sol side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Gemini 2.0 Flash-Lite vs GPT-5.6 Sol.