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LIMITED PREVIEWGPT-5.6 FAMILYTEXT + VISIONPROMPT CACHINGTRUSTED PARTNERS

GPT-5.6 Sol API Pricing

GPT-5.6 Sol is OpenAI's highest-accuracy GPT-5.6 preview tier for hard reasoning, coding, and senior-agent workloads: $5/M input, $30/M output, and $0.50/M cached input. Prices are pulled from OpenAI's official GPT-5.6 preview post; access is limited while broad availability is pending.

Input - per 1M tokens
$5.00/M
Limited preview API/Codex partners preview
Output - per 1M tokens
$30.00/M
OpenAI-posted launch price preview
Cached input - 90% off
$0.50/M
Prompt cache read price -90%
Effective - agentic blend
$3.61/M
92/8 split - 82% cache
§ 01 / TERMINAL

Run the numbers.

Live calculator pre-loaded with GPT-5.6 Sol preview rates. Tweak spend, output mix, or cache hit rate; share the URL to share the calculation.

$ /mo
Workload split
Prompt cache hit rate
Tokens you can process
Words equivalent (English)
Effective rate
Open full calculator (all models · share URL · CSV) →
§ 02 / SCENARIOS

Real-world presets.

§ 03 / TOKENIZER

Paste text. See tokens. See cost.

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 602
Words 91
Tokens (exact) 144 tokens
Cost as input · uncached $0.000720 USD
Cost as output · uncached $0.004320 USD
Cost as cached input $0.000072 USD
§ 04 / SHELF

Up against the shelf.

All models →
Model Input /M Output /M Effective blended Context Best for
GPT-5.6 Sol Current $5.00 cache $0.50 $30.00 $3.61 agentic 92/8 TBD Highest-accuracy GPT-5.6 preview
GPT-5.6 Terra $2.50 cache $0.25 $15.00 $1.80 same blend TBD Balanced GPT-5.6 preview agents
GPT-5.6 Luna $1.00 cache $0.10 $6.00 $0.72 same blend TBD Cheapest GPT-5.6 preview routing
GPT-5.5 $5.00 cache $0.50 $30.00 $3.61 same blend 1M Current broadly available OpenAI flagship
GPT-5.4 $2.50 cache $0.25 $15.00 $1.80 same blend 1.05M Broadly available balanced OpenAI tier
GPT-5.4 mini $0.75 cache $0.07 $4.50 $0.54 same blend 400K Lower-cost OpenAI subagents
Claude Opus 4.8 $5.00 cache $0.50 $25.00 $3.21 same blend 1M Anthropic Opus frontier alternative
Gemini 3.5 Flash $1.50 cache $0.15 $9.00 $1.08 same blend 2M Google multimodal context alternative
§ 05 / DEEP LINKS

Specific scenarios.

All calculators →

Frequently asked.

GPT-5.6 Sol is a limited-preview model, so the most important trust boundary is separating published prices from unpublished specs.

Q · 01 How much does GPT-5.6 Sol cost? +
OpenAI lists GPT-5.6 Sol at $5/M input tokens, $30/M output tokens, and $0.50/M cached input tokens. These are launch-preview prices from OpenAI's GPT-5.6 announcement, verified 2026-06-28.
Q · 02 Is GPT-5.6 Sol generally available? +
No. OpenAI describes GPT-5.6 access as a limited preview for trusted API and Codex partners, with broader availability planned later. Treat production access, quota, and SLAs as account-specific until OpenAI publishes a normal model-card row.
Q · 03 What is the context window? +
OpenAI has not published a context-window number for GPT-5.6 Sol in the public model docs yet. This page marks context as TBD instead of copying the GPT-5.5 or GPT-5.4 window without a source.
Q · 04 Does prompt caching apply? +
Yes, the published cached-input price is $0.50/M, which is 90% below the fresh-input price. The calculator uses the standard AI//COST agentic assumption: 92% input tokens, 8% output tokens, and 82% cache hits.
Q · 05 Are Batch, Flex, or Priority prices published? +
OpenAI's GPT-5.6 preview post publishes the headline input, output, and cached-input prices. It does not publish separate Batch, Flex, Priority, long-context, or data-residency rows for these preview tiers, so this page does not invent them.
Q · 06 Which GPT-5.6 tier should I choose? +
Use Sol for the hardest preview tasks, Terra for balanced agent workloads, and Luna for lower-cost routing or production trials. If you do not have GPT-5.6 preview access, compare against GPT-5.5, GPT-5.4, or GPT-5.4 mini instead.