ModelPriceWatch.com
Last scan 2026-09-30 Models tracked 273 Providers 35 Cheapest paid Granite 4.0 H Micro $0.017/Mtok in Every price links to its source

GPT-6.1 Sol

by OpenAI

Current new · 2d 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

$0.100

5% of input — prompt caching

How this price is scoped: OpenAI's rate card prices this model by context length: the tracked figure is the short-context tier (prompts up to 272K input tokens), and longer prompts bill at the long-context tier of $4 input / $0.20 cached input / $5 cache write / $15 output per 1M. Short-context cache writes bill at $2.50 per 1M. Batch is half the Standard rate ($1 / $0.05 / $1.25 / $5). Regional (data-residency) endpoints carry a 10% uplift.

Source: official OpenAI pricing · read MODELPRICEWATCH.COM · 2026-09-30

Price receipt

We read OpenAI's own pricing page on and found gpt-6.1-sol listed with a price on the same row — that read is where the number above comes from, recorded as a new model. We keep the page text we read; its content hash is 21c16202c8.

Overview

OpenAI's GPT-6.1 update to its mid-priced Sol reasoning tier, released 2026-09-29 for complex coding and professional work at a lower cost than GPT-6 Astra. Same $2/$10 per 1M tokens as GPT-6 Sol with cached input halved to $0.10. 1.05M context window, 128K max output, text + image input, text output, served over the Responses and Chat Completions APIs; multi-agent delegation in beta.

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 score52.9%
Perf per $/Mtok13.2
Humanity's Last Exam
52.9%
Independent composite scores
  • AA Intelligence Index: 51.8 (Artificial Analysis composite across reasoning, knowledge and coding evals)
  • AA-Omniscience Index: 41.5 (−100–100)
How it stacks up
  • Ranks #80 of 98 benchmarked models by average score
  • Ranks #6 of 189 comparably-measured models by percentile score, across 3 independent measurements
  • Ranks #122 of 189 comparably-tested models by normalized performance per dollar
  • Strongest at Humanity's Last Exam — 52.9%, #17 of 79

Source: Artificial Analysis (text-only, no tools, max effort) · 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