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Last scan 2026-10-08 Models tracked 278 Providers 37 Cheapest paid Granite 4.0 H Micro $0.017/Mtok in Every price links to its source

GPT-6 Sol

by OpenAI

Current new · 16d flagship mid tier

Today's price · per 1M tokens

Input

$2.00

per 1M tokens

Output

$10.00

per 1M tokens

Blended

$4.00

blended $/1M — 3:1 weighted input:output

Cached input

$0.200

10% of input — prompt caching

How this price is scoped: Since GPT-6.1 Sol launched on 2026-09-29, OpenAI's rate card no longer prints a gpt-6-sol row; the tracked figures are the short-context (up to 272K input tokens) rates stated in the 2026-09-22 changelog entry. When the rate card last listed it (read 2026-09-23), longer prompts billed at $4 input / $0.40 cached input / $5 cache write / $15 output per 1M, and short-context cache writes at $2.50 per 1M. Regional (data-residency) endpoints carry a 10% uplift.

Source: official OpenAI pricing · read MODELPRICEWATCH.COM · 2026-10-08

Price receipt

We read OpenAI's own pricing page on and found GPT-6 Sol: $2 input, $0.20 cached input, and $10 output. listed with a price on the same row — that read is where the number above comes from. We keep the page text we read; its content hash is 8c8b4e9778.

Overview

OpenAI's mid-priced GPT-6 reasoning tier, released 2026-09-22 alongside GPT-6 Luna and priced a fifth of GPT-6 Astra. 1.05M context window, text + image input, text output, served over the Responses and Chat Completions APIs. $2/$10 per 1M tokens (cached input $0.20). Succeeded on 2026-09-29 by GPT-6.1 Sol at the same $2/$10 with cached input at $0.10; GPT-6 Sol is still served and not on OpenAI's deprecations list.

Capabilities

struck through = not supported
Input 2/4
Text ✓ Image ✓ Audio Video
Output
Text ✓
Features 4/9
Prompt caching ✓ Reasoning ✓ Coding Fast inference Long context ✓ Open weights Multimodal ✓ Web search Realtime

Benchmark performance

accuracy % · higher is better
Avg benchmark score65.5%
Perf per $/Mtok16.4
Terminal-Bench 2.1
83.2%
Humanity's Last Exam
47.9%
AutoBench *
33.2%
Independent composite scores
  • AA Intelligence Index: 47.6 (Artificial Analysis composite across reasoning, knowledge and coding evals)
  • AA-Omniscience Index: 27.1 (−100–100)
How it stacks up
  • Ranks #56 of 98 benchmarked models by average score
  • Ranks #12 of 191 comparably-measured models by percentile score, across 4 independent measurements
  • Ranks #133 of 191 comparably-tested models by normalized performance per dollar
  • Strongest at Terminal-Bench 2.1 — 83.2%, #11 of 48

Source: Vellum LLM Leaderboard · updated · See full rankings →

Specifications

Provider
OpenAI
Context window
1M tokens
Modality
text, image
Parameters
Proprietary
Open source
No — proprietary
Released
Status
Current
Last updated
Tags
reasoningmultimodalflagshipcaching

Availability verified: — listed on OpenAI's own page