Gemini 3.1 Pro Preview
gemini-3-1-pro-previewgemini-3.1-pro-preview- 🧠 Google's most advanced reasoning model, built on Gemini 3 Pro.
- 📏 1M-token context spanning text, images, audio, video, code.
- 👁️ Multimodal input: text, image, speech, and video.
- 🔧 Dedicated custom-tools endpoint prioritizes bash and custom functions.
- 📚 Handles PDFs and entire code repositories in context.
- 🏢 Available through Google Cloud's Gemini Enterprise Agent Platform.
- ⚡ Faster than average and fairly concise, per Artificial Analysis.
- 📅 Preview release February 2026, ahead of general availability.
Google is an American multinational technology corporation and one of the world's most valuable brands. A subsidiary of parent company Alphabet Inc., Google operates across search, cloud computing, consumer electronics, and artificial intelligence. Its DeepMind and Google…
Explore 17 more models by Google →Gemini 3.1 Pro Preview is the latest iteration of Google's flagship "Pro" frontier line, positioned by Google DeepMind as its most advanced reasoning model for complex, multi-step problems. It comprehends massively multimodal inputs — text, audio, images, video, PDFs, and entire code repositories — within a 1M-token context window, outputting up to roughly 66K tokens. Google states the model is based on its predecessor, Gemini 3 Pro, which launched in November 2025.
According to Google Cloud's documentation, 3.1 Pro exposes a dedicated custom-tools endpoint that prioritizes bash and custom functions such as file viewing and code search, aimed at agentic workflows. It is offered in preview via the Gemini Enterprise Agent Platform, allowing teams to validate the updates before general availability.
Within the broader family, 3.1 Pro is the reasoning-heavy counterpart to the faster [[sibling:gemini-3-5-flash|Gemini 3.5 Flash]] and earlier [[sibling:gemini-3-flash-preview|Gemini 3 Flash Preview]], which trade some depth for speed. Independent evaluator Artificial Analysis notes the model accepts text, image, speech, and video input, is faster than average and fairly concise, though somewhat expensive relative to similarly priced peers.
This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.
| Seller | Reputation↓ | Routing | Input $/M | Cached $/M | Output $/M | Categories | API |
|---|---|---|---|---|---|---|---|
| Venice.ai Proxy 0x1f22…18c9 | 99 | #4 | $1.25 | $0.25 | $7.50 | chat,reasoning,audio,vision,video,multimodal,web-search | openai-chat-completions |
| ▲ Apex Ant 0x73b4…e736 | 83 | #3 | $1.125 | $0.225 | $6.75 | chat,fast,vision,multimodal,reasoning,long-context,agents | openai-chat-completions |
| Open Ant 0xe4f6…5bc4 | 74 | #5 | $1.625 | $0.325 | $9.75 | chat,reasoning,vision,multimodal,tools,long-context | openai-chat-completions |
| surplusintelligence.ai 0x0e49…8927 | 68 | #2 | $0.75 | $0.15 | $4.50 | agents,audio,chat,cheap,fast,frontier,function-calling,multimodal,reasoning,research,tasks,tools,video,vision,web-search | openai-chat-completions |
| Open Bird 0xc0f1…8183 | 64 | #1 | $0.70 | $0.07 | $4.20 | chat | openai-chat-completions |
| NovaRoute AI 0xc50d…ed7b | 60 | gated | $0.693 | $0.693 | $4.158 | chat,coding,code,reasoning,tasks,gemini,google,value,surplus,openai-compatible,low-cost,verified,github,response-auth,base-usdc,monitored | openai-chat-completions |
| Fire Ant 🔥🐜 0xbe05…bc5d | 37 | gated | $2.229 | $0.45 | $13.3739 | base-usdc,chat,code,coding,gemini,github,google,json,low-cost,math,monitored,multimodal,openai-compatible,reasoning,response-auth,surplus,tasks,tools,value,verified | — |
| Meridian AI 0x8c8c…06f5 | 22 | gated | $0.4063 | $0.4063 | $2.4378 | chat,coding,reasoning,multimodal | openai-chat-completions |
| antseed-neon-puma-944e 0x6650…944e | 3 | gated | $0.8525 | $0.50 | $5.115 | chat,math | openai-chat-completions |
| antseed-opal-badger-2580 0xc85d…2580 | 1 | gated | $1.25 | $1.25 | $7.50 | chat | openai-chat-completions |
| Skeffo Inference 0x1af8…e2b5 | 0 | gated | $2.50 | $2.50 | $15.00 | chat,reasoning,vision,function-calling | openai-chat-completions |
| Apex TEE Test 0xe672…7955 | 0 | gated | $0.675 | $0.126 | $4.05 | chat,fast,vision,multimodal,reasoning,long-context,agents | openai-chat-completions |
| Leftermute 0x388b…5389 | 0 | gated | $0.2273 | $0.2273 | $1.3635 | chat,coding,json,tools | openai-chat-completions |
"Best price" and the seller table are live AntSeed catalog data (advertised $/1M tokens — or $ per generated image for unit-billed image models — not settled amounts). Reputation = on-chain trust (0-100). "Routing" = the SDK's default buyer routing (what the VPR desktop app ships with): a trust ≥ 60 gate on the effective reputation, then cheapest-first among routable sellers; live failover state (per-peer cooldowns) is buyer-side runtime and not included. Model knowledge (TLDR, provider, About) via the VeniceStats enrichment layer. Advertised catalog, not the model used in any specific purchase. "Usage on AntSeed" counts only settlements whose buyers share the per-model split on-chain (metadata v2/v3, opt-in), so every usage figure is a lower bound.