Gemini 3.7 Flash vs GPT-6 Sol
Gemini 3.7 Flash and GPT-6 Sol are closely matched at 47.7 and 49.4 on the LLM Stats Score. Gemini 3.7 Flash is 2.7x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
Gemini 3.7 Flash and GPT-6 Sol are closely matched on the overall LLM Stats Score at 47.7 and 49.4.
In the 4 individual benchmarks reported for both models, GPT-6 Sol wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, Gemini 3.7 Flash is roughly 2.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-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 2.7x cheaper per token
Choose GPT-6 Sol
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Sep 2026
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 · 5 for GPT-6 Sol
Gemini 3.7 Flash outperforms in 0 benchmarks, while GPT-6 Sol is better at 4 benchmarks (Agents' Last Exam, DeepSWE 1.1, FrontierCode 1.1, OSWorld 2.0).
GPT-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 3.7 Flash ($0.75/1M tokens) is 2.7x cheaper than GPT-6 Sol ($2.00/1M tokens).
For output processing, Gemini 3.7 Flash ($3.75/1M tokens) is 2.7x cheaper than GPT-6 Sol ($10.00/1M tokens).
In conclusion, GPT-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-6 Sol 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-6 Sol is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 3.7 Flash and GPT-6 Sol support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3.7 Flash
GPT-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-6 Sol was released on 2026-09-22.
GPT-6 Sol is 1 month newer than Gemini 3.7 Flash.
Aug 13, 2026
1 months ago
Sep 22, 2026
0 days ago
1mo newerKnowledge Cutoff
When training data ends
Gemini 3.7 Flash has a knowledge cutoff of 2026-03-31, while GPT-6 Sol has a cutoff of 2026-04-20.
GPT-6 Sol has more recent training data (up to 2026-04-20), making it potentially better informed about events through that date compared to Gemini 3.7 Flash (2026-03-31).
Mar 2026
Apr 2026
1 mo newerProvider Availability
Gemini 3.7 Flash is available from DeepInfra, Google. GPT-6 Sol is available from OpenAI.
Gemini 3.7 Flash
GPT-6 Sol
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3.7 Flash and GPT-6 Sol side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3.7 Flash vs GPT-6 Sol.