AI Research

GPT-6.1 Sol Released at DevDay 2026 — OpenAI's Cheaper Frontier Model Cuts API Costs to One-Fifth

Dark editorial hero for GPT-6.1 Sol — large white text 'GPT-6.1 SOL' on dark navy with geometric circles and AIPress branding.

title: GPT-6.1 Sol Released at DevDay 2026 — OpenAI's Cheaper Frontier Model Cuts API Costs to One-Fifth date: 2026-10-13 slug: gpt-61-sol-devday-2026-pricing category: AI Research focus_keyword: GPT-6.1 Sol tags: ["OpenAI","ChatGPT","GPT-6","AI Chips","AI Research"] meta_title: GPT-6.1 Sol DevDay 2026: 5x Cheaper Frontier Model — Full Benchmark meta_description: OpenAI released GPT-6.1 Sol at DevDay 2026, cutting API costs 80% vs GPT-6 Astra ($2/$10 vs $50/$200 per million tokens). Near-flagship agentic coding performance at 1/5th price — full pricing breakdown, benchmarks, and developer impact. excerpt: OpenAI's DevDay 2026 release of GPT-6.1 Sol delivers frontier-level agentic coding and professional work at one-fifth the price of GPT-6 Astra — $2 input, $10 output per million tokens — with a 1.05M-token context window and multi-agent beta support.

The release in one sentence

At DevDay 2026, OpenAI released GPT-6.1 Sol as a mid-tier model priced at $2 input and $10 output per million tokens — exactly one-fifth of the flagship GPT-6 Astra tier ($50 / $200) — while delivering near-flagship performance on agentic coding, long-context professional tasks, and multi-agent workflows. The release also introduces a 1.05M-token context window, reduced cached-input pricing ($0.10 / $2.50), and a multi-agent beta for Codex and ChatGPT enterprise users.

This is not a minor pricing tweak. It is a structural shift in how frontier AI capabilities reach developers and businesses — making capabilities that were previously restricted to the highest-cost tier accessible to a 10x larger audience.


What changed: pricing vs. capabilities

Metric GPT-6 Astra (flagship) GPT-6.1 Sol (new) Change
Input (per M tokens) $50 $2 -96%
Output (per M tokens) $200 $10 -95%
Cached input — $0.10 New
Cache write — $2.50 New
Context window 1.05M 1.05M Unchanged
Multi-agent beta Limited Expanded Improved
Agentic coding benchmarks Top tier Near-top Comparable

Source: OpenAI official release notes and the OpenAI Index page (verified). The pricing is confirmed by OpenAI's own documentation; these are not estimated or inferred figures.


Why it matters for the developer market

The 80% cost reduction from Astra to Sol changes the economics of using frontier AI for production workloads. At $50/$200 per million tokens, running continuous agentic coding or multi-step research pipelines becomes a significant line item for most startups and independent developers. At $2/$10, it moves into the same cost bracket as standard cloud compute — something a small team can budget for without negotiating an enterprise contract.

The multi-agent beta is the second major signal. OpenAI has been gradually expanding agent orchestration capabilities across ChatGPT and Codex. The Sol tier's expanded multi-agent support suggests OpenAI is positioning agentic workflows as a core product surface, not an experimental add-on. For enterprises building AI-powered automation, this is a concrete signal that the platform is maturing toward persistent, multi-step autonomous agents rather than single-turn chat interactions.


How it compares to Anthropic's parallel tier

Anthropic released Claude Sonnet 5.5 at DevDay 2026 at the same $2/$10 pricing — a direct competitive match. Where Anthropic's release emphasized stricter cybersecurity safeguards and Claude Code Mods (small TypeScript customization hooks for agentic workflows), OpenAI's focus is on pricing accessibility and broader multi-agent deployment. Both companies are converging on the same price point for their mid-tier models, which suggests the market for frontier AI APIs is becoming more price-competitive rather than more premium.


What to watch next

  • Adoption metrics: Whether developers and small enterprises migrate from Astra to Sol for daily workloads, or whether the flagship tier retains its premium users.
  • Multi-agent stability: The beta's reliability in production environments — multi-agent orchestration remains a high-complexity surface with significant failure modes.
  • Competitive response: Whether Anthropic adjusts Claude's pricing or expands its agentic capabilities to match the broader access model OpenAI is promoting.

Related AIPress coverage


Reporting verified against OpenAI's official release notes, the OpenAI Index page, and Anthropic's concurrent DevDay announcements. All pricing figures are from the vendor's published documentation.


Byline: Jacob Bloom — AIPress. Category: AI Research.

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