GPT-6.1 Sol vs Gemini 3.8 Flash

GPT-6.1 Sol and Gemini 3.8 Flash at a glance

GPT-6.1 Sol is an OpenAI model available in Quad Chat, with up to 1.05M tokens of context, image input, tool calling and adjustable reasoning. Gemini 3.8 Flash is a Google model available in Quad Chat, with up to 1M tokens of context, image input, tool calling and adjustable reasoning. This page compares specifications and plan availability from the Quad Chat model catalog. It does not publish benchmark scores, because quality depends on your task; the quickest fair test is to send the same prompt to both models in one Quad Chat conversation. Each family has a single variant, so the head-to-head compares them directly.

GPT-6.1 Sol vs Gemini 3.8 Flash

Top variant of each family, side by side. Lab: GPT-6.1 Sol OpenAI, Gemini 3.8 Flash Google. Plan needed: GPT-6.1 Sol Pro ($15/month), Gemini 3.8 Flash Pro ($15/month). Context window: GPT-6.1 Sol 1.05M tokens, Gemini 3.8 Flash 1M tokens. Max output: GPT-6.1 Sol 128K tokens, Gemini 3.8 Flash 66K tokens. API input price: GPT-6.1 Sol $2.00 per 1M, Gemini 3.8 Flash $0.75 per 1M. API output price: GPT-6.1 Sol $10.00 per 1M, Gemini 3.8 Flash $3.75 per 1M. Image input: GPT-6.1 Sol Yes, Gemini 3.8 Flash Yes. Tool calling: GPT-6.1 Sol Yes, Gemini 3.8 Flash Yes. Reasoning: GPT-6.1 Sol Yes, adjustable (low, medium, high, xhigh, max), Gemini 3.8 Flash Yes, adjustable (low, medium, high). Privacy lane: GPT-6.1 Sol Private Lane (Zero Data Retention), Gemini 3.8 Flash Private Lane (Zero Data Retention).

Choose GPT-6.1 Sol or Gemini 3.8 Flash

Each point below comes from a real difference in the catalog data. Choose GPT-6.1 Sol if: You need very long replies in one go: it can write up to 128K tokens, against 66K. Choose Gemini 3.8 Flash if: You want the lower API list price at the top tier: Gemini 3.8 Flash lists at $0.75 in / $3.75 out against $2.00 in / $10.00 out for GPT-6.1 Sol, about 2.7× less per output token. Both families start on the Pro ($15/month) plan. Their context windows are within 10% of each other (1.05M and 1M tokens). You do not have to choose: Quad Chat lets you switch between GPT-6.1 Sol and Gemini 3.8 Flash in the same conversation, or ask both at once and compare the answers.

Every GPT-6.1 Sol and Gemini 3.8 Flash variant

All selectable variants of both families. Click a header to sort. GPT-6.1 Sol: GPT-6.1 Sol (Pro). Gemini 3.8 Flash: Gemini 3.8 Flash (Pro).

Frequently asked questions

Is GPT-6.1 Sol or Gemini 3.8 Flash cheaper?

At provider list prices, Gemini 3.8 Flash is cheaper at the top tier ($0.75 in / $3.75 out against $2.00 in / $10.00 out per million tokens). API prices are the model provider's list prices per million tokens, shown for comparison only. Quad Chat plans have a flat monthly price and draw usage from shared credits, so you are not billed per token.

Which has the larger context window, GPT-6.1 Sol or Gemini 3.8 Flash?

GPT-6.1 Sol reaches 1.05M tokens, against 1M for Gemini 3.8 Flash, according to the model catalog Quad Chat routes through. Files, pasted text and earlier messages all count toward the window.

Which Quad Chat plan do I need for GPT-6.1 Sol and Gemini 3.8 Flash?

GPT-6.1 Sol needs the Pro ($15/month) plan. Gemini 3.8 Flash needs the Pro ($15/month) plan. Plans are cumulative, and every plan shares one monthly credit balance (100 on Free up to 25,000 on Max).

Do GPT-6.1 Sol and Gemini 3.8 Flash support images, tools and reasoning?

GPT-6.1 Sol: image input yes, tool calling yes, reasoning yes. Gemini 3.8 Flash: image input yes, tool calling yes, reasoning yes. Other variants in each family can differ, as the variant table shows.

Can I use GPT-6.1 Sol and Gemini 3.8 Flash in the same chat?

Yes. In Quad Chat you can switch between models mid-conversation without losing your files or context, or send one prompt to both and compare the answers side by side, which is the most reliable way to decide between them for your own work. Side-by-side comparison is included on every plan.

Is GPT-6.1 Sol or Gemini 3.8 Flash more private in Quad Chat?

Both top variants run on the Private Lane, routed to providers under Zero Data Retention terms. Quad Chat does not train models on your conversations either way.