Chatbots · Head-to-head

Gemini vs GPT-5.6 Sol

Gemini (freemium, AI Score 9.2/10) vs GPT-5.6 Sol (paid, AI Score 9.3/10). Side-by-side pricing, features, pros and cons, and which to pick.

The verdict

Pick Gemini if…

→budget is the constraint
→your primary use case is google workspace users who want an assistant with standing access to their gmail, drive and calendar, and anyone reasoning across repositories, long document sets or hours of video that other chatbots force you to chunk.
→you need: productivity, content-creation

Try Gemini →

Pick GPT-5.6 Sol if…

→your primary use case is engineering teams building long-horizon coding or tool-use agents who need a frontier reasoning tier for the hard steps and can route easier calls to terra or luna on the same api key.
→you need: development

Try GPT-5.6 Sol →

Spec	Gemini	GPT-5.6 Sol
Category	Chatbots	Chatbots
Pricing model	freemium	paid
Headline pricing	Free + Google AI Pro $19.99/mo + AI Ultra $249.99/mo; Workspace plans bundle Gemini	API usage-based: Sol $5/$30 per 1M tokens; cheaper Terra and Luna tiers cut July 30
Free tier	Yes — the free plan runs a current-generation Flash model with image generation and multimodal input, not a downgraded previous-generation model, though Google does not publish the full set of usage caps	No free API tier for Sol. Free and Go ChatGPT accounts default to the cheaper Luna tier instead, with a Think button and unlimited text chats.
AI Score	9.2/10	9.3/10
Best for	Google Workspace users who want an assistant with standing access to their Gmail, Drive and Calendar, and anyone reasoning across repositories, long document sets or hours of video that other chatbots force you to chunk.	Engineering teams building long-horizon coding or tool-use agents who need a frontier reasoning tier for the hard steps and can route easier calls to Terra or Luna on the same API key.
Editor's pick	✓ Yes	✓ Yes
Use cases	productivity research agents content-creation	development agents research
Date added	2025-04-01	2026-06-27

Chatbots · freemium

✓Longest context window of any mainstream assistant — whole repositories, book-length document sets and hour-long video in one pass
✓Free tier runs a current-generation Flash model rather than a downgraded legacy one
✓Spark is the only always-on proactive agent shipping from a major assistant — it surfaces actions instead of waiting to be asked
✓Reads your real Gmail, Drive, Docs and Calendar data, and the same models now sit behind Search AI Mode, Android and Siri
✓One subscription covers reasoning, Deep Research, image generation and Veo/Omni video instead of separate tools

×Model naming is a mess — 3.5 Pro, 3.5 Flash, 3.6 Flash, 3.5 Flash-Lite, Omni, Spark and Flash Cyber are all current, and the app rarely makes clear which one answered
×Headline specs including the 2M-token window and Deep Think circulated through secondhand reporting before Google confirmed them, and the effective-recall charts that would back a multi-million-token claim were not published alongside it
×Long-form prose still trails Claude, and agentic coding trails Claude Code and Codex despite Antigravity 2.0 adding a desktop app and CLI
×An agent with standing access to your inbox and calendar is a much larger trust decision than a chat box, and the best features assume you already live in Google's ecosystem

Chatbots · paid

✓Generally available since July 9, 2026 — no waitlist or government-coordination gate, so it can carry production traffic
✓Same-family routing by difficulty: Sol for hard problems, Terra and Luna for everything else on one API key
✓Reasoning effort is an explicit control, both as an API parameter and as a consumer slider in ChatGPT Plus and Pro
✓Cerebras-backed serving with a quoted ~750 tokens/sec, which matters for agent loops and streaming code output
✓Now the model answering paid ChatGPT conversations, with OpenAI reporting 68% fewer factual errors on its high-stakes evals

×Sol's $5/$30 has not moved since launch while Terra and Luna were cut 20% and 80% — the tier long agent runs bill against is the one not getting cheaper
×Every headline number (Terminal-Bench SOTA, 68% factuality, ~750 tokens/sec) is OpenAI-measured on undisclosed evaluation sets, with no independent re-run published
×Named in the August 2026 third-party cyber evaluations, where models with safeguards removed pursued real people and organisations — a dual-use profile worth reviewing before security-sensitive use
×Open-weights rivals now score competitively on agentic benchmarks at a fraction of the price, narrowing Sol's case for mid-difficulty work

Updated 2026-08-10. Spec data sourced from official product pages and tracked in our public directory at /tools.