PREVIOUS SOLGPT-6 FAMILY1.05M CONTEXTHALF THE 5.6 SOL PRICETEXT + VISION
GPT-6 Sol API Pricing
GPT-6 Sol launched September 22, 2026 as OpenAI's coding and agentic workhorse, and a week later OpenAI replaced it in its lineup with GPT-6.1 Sol, which keeps the same input and output rates and halves the cache read. GPT-6 Sol stays on the price list at $2.00/M input, $0.20/M cached input and $10.00/M output - half the card of the GPT-5.6 Sol it followed. Prompts over 272K input tokens move to the long-context card, where input doubles to $4/M but output rises only to $15/M.
Input - per 1M tokens
$2.00/M
Short context up to 272K input standard
Output - per 1M tokens
$10.00/M
Long context output is $15/M standard
Cached input - 90% off
$0.20/M
Prompt cache read price -90%
Effective - agentic blend
$1.36/M
92/8 split - 82% cache
§ 01 / TERMINAL
GPT-6 Sol API cost calculator.
Live calculator pre-loaded with GPT-6 Sol's standard short-context rates. Reasoning effort runs from none to max and reasoning tokens bill as output, so put them in the reasoning field. Cross 272K input tokens in one prompt and the long-context card applies instead.
$ /mo
Workload split
Prompt cache hit rate
Tokens you can process
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Words equivalent (English)
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Effective rate
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§ 02 / SCENARIOS
GPT-6 Sol cost on real workloads.
CODING AGENT
Repo-wide architecture migration
$0.194/task
RESEARCH
Multi-step diligence brief
$0.077/brief
LONG DOC ANALYSIS
Reading 150-page contracts
$0.227/doc
ASSISTANT
Executive workflow turn
$0.00623/turn
Exact · o200k_base Auto-counts as you type
Counted with the o200k_base BPE encoding — the same tokenizer the API uses — entirely in your browser. The encoder loads on your first keystroke (~1 MB, one time); your text never leaves this page.
Characters 603
Words 101
Tokens (exact) 147 tokens
Cost as input · uncached $0.00029 USD
Cost as output · uncached $0.00147 USD
Cost as cached input $0.00003 USD
| Model | Input /M | Output /M | Effective blended | Context | Best for |
|---|---|---|---|---|---|
| GPT-6 Sol Current | $2.00 cache $0.20 | $10.00 | $1.36 agentic 92/8 | 1.05M | Coding and long-running agents |
| GPT-6.1 Sol | $2.00 cache $0.10 | $10.00 | $1.29 −6% | 1.05M | The Sol OpenAI now lists, cheaper cache |
| GPT-6 Luna | $0.10 cache $0.01 | $0.50 | $0.0682 −20× | 1.05M | High-volume routing tier |
| GPT-6 Astra | $10.00 cache $1.00 | $50.00 | $6.82 +5.0× | 1.05M | OpenAI's top-of-stack reasoning tier |
| GPT-5.6 Sol | $4.00 cache $0.40 | $20.00 | $2.73 +2.0× · promo | 1.05M | The Daybreak-programme Sol, still listed |
| GPT-5.6 Terra | $2.00 cache $0.20 | $12.00 | $1.52 +12% | 1.05M | Balanced GPT-5.6 agents |
| Claude Opus 5.5 | $4.00 cache $0.20 | $20.00 | $2.58 +89% | 1M | Anthropic's frontier alternative |
| Grok 4.7 | $2.00 cache $0.50 | $6.00 | $1.19 −13% | 500K | Cheaper frontier coding model |
Compare siblings
GPT-6 Sol has published scores on 11 benchmarks we track; its best placing is #8 of 105 on ARC-AGI-2. 4 of these scores come from an independent leaderboard; the rest are the lab's own reports.
| Benchmark | Score | Rank | Leader | Source |
|---|---|---|---|---|
| ARC-AGI-2 Reasoning | 89.6% ARC Prize verified, best result | #8 of 105 | GPT-6 Astra · 95% | Official leaderboard ARC Prize Foundation |
| ARC-AGI-1 Reasoning | 95.5% ARC Prize verified, best result | #16 of 99 | 6 tied · 98.5% | Official leaderboard ARC Prize Foundation |
| Terminal-Bench 4.0 Agents and computer use | 49.4% max effort, Codex harness, 330 trials, ±3.2 pts (95% CI) | #10 of 34 | Kimi K3.1 Pro · 65.7% | Official leaderboard Terminal-Bench (Stanford, Laude Institute) |
| ARC-AGI-3 Reasoning · Standard harness | 4.6% ARC Prize verified, best result | #8 of 24 | GPT-6 Astra · 62.7% | Official leaderboard ARC Prize Foundation |
| FrontierCode Coding · v1.1 Main (100 hardest tasks) | 49.3% max effort | #5 of 13 | Claude Opus 5.5 · 54.4% | Vendor-reported OpenAI |
| Agents' Last Exam Agents and computer use · ALE v1 | 56.4% max effort | #2 of 5 | GPT-6 Astra · 59.3% | Vendor-reported OpenAI |
| DeepSWE Coding | 68.8% max effort | #11 of 27 | Gemini 4 Argon · 77.9% | Vendor-reported OpenAI |
| AutomationBench Agents and computer use · Main set (as reported) | 33.2% xhigh effort, v1.0.6 | #14 of 22 | MiniMax M3.1 Flash · 62.8% | Vendor-reported OpenAI |
| OSWorld 2 Agents and computer use · 2.0, offline subset, partial score | 64.4% max effort | #5 of 7 | GPT-6 Astra · 73.5% | Vendor-reported OpenAI |
| GDP.pdf Vision and documents · Default setting | 28% high effort | #6 of 7 | Gemini 3.8 Flash · 35% | Vendor-reported OpenAI |
| Terminal-Bench-Science AI research | 27.6% max effort | #11 of 12 | Claude Mythos 5.2 · 75.3% | Vendor-reported OpenAI |
GPT-6 Sol API pricing FAQ.
GPT-6 Sol pricing questions - the standard card, the long-context step, and how it lands against the Sols either side of it.
Q · 01 How much does GPT-6 Sol cost? +
OpenAI lists
gpt-6-sol at $2.00/M input, $0.20/M cached input, $2.50/M cache writes and $10.00/M output for prompts up to 272K input tokens.Q · 02 Is it cheaper than GPT-5.6 Sol? +
Yes, by half on both headline rates:
$2.00 / $10.00 against $4.00 / $20.00. Under our standard blend (92% input, 82% cache hits) that is $1.36/M against $2.73/M. GPT-5.6 Sol's rate is itself promotional and OpenAI commits to it only through November 21, 2026.Q · 03 Should I use GPT-6 Sol or GPT-6.1 Sol? +
For new work, GPT-6.1 Sol. It has the same
$2.00 / $10.00 card with the cache read at $0.10/M instead of $0.20/M, so the blend drops to $1.29/M from $1.36/M, and it is the Sol OpenAI now lists. GPT-6 Sol keeps two things 6.1 Sol lacks: the none reasoning effort, and function calling in Chat Completions with reasoning off. It is not deprecated.Q · 04 When does long-context pricing apply? +
When a prompt exceeds
272K input tokens. The whole request then bills at $4/M input, $0.40/M cached input and $15/M output. Note the asymmetry: input doubles, output rises by half.Q · 05 How much cheaper are Batch and Flex? +
Both are half the standard card:
$1/M input and $5/M output. Fast mode - the tier OpenAI renamed from Priority on July 30, 2026 - runs the other way at double standard, $4/M and $20/M.Q · 06 What is the context window? +
1.05M tokens, with 128K max output and a knowledge cutoff of April 20, 2026. It takes text and image input and returns text, on both the Responses and Chat Completions APIs.Q · 07 Is GPT-6 Sol what ChatGPT runs? +
Not in chat yet. OpenAI's release note puts GPT-6 Sol and Luna into ChatGPT Work and Codex from launch day, and this page prices the API model. Model access inside ChatGPT is a per-plan matter that moves independently of the API card.
Q · 08 Does regional processing cost more? +
Yes, 10% on regional data-residency endpoints, the uplift OpenAI applies to models released on or after March 5, 2026. For GPT-6 Sol and Luna, EU data residency is available only with Standard processing.