ModelPriceWatch.com
Last scan 2026-09-15 Models tracked 259 Providers 32 Cheapest paid Granite 4.0 H Micro $0.017/Mtok in Every price links to its source

GPT-5.6 Sol

by OpenAI

Current Intro price flagship mid tier

Today's price · per 1M tokens

Input

$4.00

per 1M tokens

Output

$20.00

per 1M tokens

Blended

$8.00

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

Cached input

$0.400

10% of input — prompt caching

How this price is scoped: OpenAI labels this promotional pricing and states it is "available at least through November 21, 2026". That is a floor, not a reversion date — OpenAI publishes no date on which the rate goes back up, so no reversion is claimed here and no countdown is implied. Until 2026-08-21 this model billed $5 input / $0.50 cached input / $30 output per 1M tokens. OpenAI's rate card also prices this model by context length: the tracked figure is the short-context tier, and prompts over the short-context threshold bill at the long-context tier of $8 input / $0.80 cached input / $10 cache write / $30 output per 1M tokens. Cache writes bill at 1.25x the uncached input rate.

Source: official OpenAI pricing · read MODELPRICEWATCH.COM · 2026-09-15

Price receipt

We read OpenAI's own pricing page on and found gpt-5.6-sol listed with a price on the same row — that read is where the number above comes from, recorded as a price drop. We keep the page text we read; its content hash is 54ef96c936.

Overview

OpenAI's highest-intelligence GPT-5.6 tier. Sol/Terra/Luna are durable capability tiers replacing the numbered-variant scheme; Sol targets the hardest coding, agentic, and research workloads. 1.05M context, 128K max output, text + image input. $4/$20 per 1M tokens (cached input $0.40) — a promotional rate OpenAI guarantees at least through 2026-11-21, down from $5/$30 on 2026-08-21.

Capabilities

struck through = not supported
Input 2/5
Text Image Audio Video PDF
Output 1/5
Text Image Audio Video Embedding
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 score83.8%
Perf per $/Mtok10.5
GPQA Diamond
94.6%
SWE-Bench Verified
96.2%
Terminal-Bench 2.1
88.8%
BrowseComp
92.2%
OSWorld-Verified
62.6%
Humanity's Last Exam
47.2%
ARC-AGI 2
92.5%
HumanEval
96.2%
AutoBench *
18.1%
Independent composite scores
  • AA Intelligence Index: 47.1 (Artificial Analysis composite across reasoning, knowledge and coding evals)
  • AA-Omniscience Index: 22 (−100–100)
  • GDPval-AA v2: 1624.1 ELO (Real-world work tasks, human baseline = 1000)
  • LMSYS Chatbot Arena: 1483.5 ELO (Human preference)
How it stacks up
  • Ranks #8 of 84 benchmarked models by average score
  • Ranks #9 of 181 comparably-measured models by percentile score, across 12 independent measurements
  • Ranks #151 of 181 comparably-tested models by normalized performance per dollar
  • Strongest at BrowseComp — 92.2%, #1 of 21

53.9 tokens/sec output

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
reasoningmultimodalflagship

Availability verified: listed on OpenAI's own page