OpenAIOpenAI·text

GPT-6 Sol

VisionReasoningWeb searchFunction calling
Advertised as gpt-6-solopenai-gpt-6-sol
Quick reference
GPT-6 Sol — TLDR
  • 🧠 OpenAI's GPT-6 coding and agentic workflow model, released September 2026
  • 📏 1.05M-token context window with up to 128K output tokens
  • 🔧 Reasoning effort configurable from none through low, medium, high, xhigh, max
  • 👁️ Accepts text and image inputs, generates text
  • 🎯 Function calling, structured outputs and Responses API built-in tools
  • ⚡ OpenAI reports substantial gains over GPT-5.6 Sol on FrontierCode
  • 🏢 Positioned as the intelligence-and-cost balance tier between Astra and Luna
💰 Best price on AntSeed
$0.042 / $0.212
per 1M · cheapest in / out
📏 Context
1.1M tokens
🐜 Sellers
13
advertising on AntSeed
Provider

OpenAI is an American artificial intelligence research organization headquartered in San Francisco, structured as both a for-profit public benefit corporation and a nonprofit foundation. The lab developed the GPT family of large language models, the DALL-E image generation…

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About this model

GPT-6 Sol is OpenAI's GPT-6-generation model built for complex coding and agentic workflows, launched alongside GPT-6 Luna on 22 September 2026. In OpenAI's own guidance, GPT-6 Astra is the flagship for the hardest reasoning and coding, Sol is the choice for balancing intelligence and cost, and Luna targets cost-sensitive, high-volume workloads.

Technically, Sol handles a 1,050,000-token context window with up to 128,000 output tokens, accepts text and image inputs, and exposes a reasoning-effort dial spanning none, low, medium (default), high, xhigh and max. Structured outputs, function calling and the Responses API built-in tools make it suited to multi-step automation and long-horizon repository work.

Compared with its direct predecessor, GPT-5.6 Sol — which carried the same 1.05M context window and the same reasoning-effort settings — OpenAI reports that GPT-6 Sol improves substantially on FrontierCode, an evaluation of whether coding agents produce changes ready to merge into real codebases. OpenAI also publishes self-reported figures of 56.4% on Agents' Last Exam at max effort, 68.8% on DeepSWE v1.1 at max effort, and 60.5% on OSWorld 2.0 offline at xhigh effort.

OpenAI states that the release focuses on capability improvements and cost efficiency for Sol and Luna, accompanied by higher usage limits.

Sources
developers.openai.comGPT-6 Sol Model | OpenAI API· developers.openai.comopenai.comPreviewing GPT-5.6 Sol: a next-generation model | OpenAI· openai.com

This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.

Usage on AntSeed
Tokens served
6.63M
input + output
Requests
344
settled calls
Buyers
15
distinct, on this model
Sellers used
9
of 13 advertising
Settled
$0.96
gross USDC, this model
Sellers serving GPT-6 Sol (13)compare on the network explorer →
SellerReputation↓RoutingInput $/MCached $/MOutput $/MCategoriesAPI

"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 = buyer trust score (0-100, the AntSeed SDK's own formula). "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.