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GPT-5.6 Sol API Pricing & Cost Calculator

GPT-5.6 Sol is the flagship-tier variant of the 5.6 family (sol/terra/luna), priced identically to base GPT-5.6 at $4/$20 with the same 922K context and 90% caching discount.

Input
$4.00
per 1M tokens
Output
$20.00
per 1M tokens
Context window
922K
tokens
Released
2026-06
✓ Exact tokenizer·$4.00 in·$20.00 out (per 1M)
Quick start with a use case
Total cost per call$0.0140
Input$0.004000
Output$0.0100
Cost comparison
Standard
$0.0140
With Caching
$0.0122
Save 13% ↓
With Batch
$0.0100
Save 29% ↓
Cutting costs? Open models start at $0.28/1M

DeepSeek, Kimi & 200+ open models on Novita AI — often 5–20x cheaper than proprietary APIs for comparable tasks.

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Detailed pricing

GPT-5.6 Sol pricing breakdown

All pricing dimensions including caching and batch discounts.

TypePrice (per 1M tokens)
Input$4.0000
Output$20.0000
Cached input$0.4000
Cache write$6.2500
Batch input$2.5000
Batch output$15.0000
Cutting costs? Open models start at $0.28/1M

DeepSeek, Kimi & 200+ open models on Novita AI — often 5–20x cheaper than proprietary APIs for comparable tasks.

Try Novita AI

Affiliate link — we may earn a commission at no extra cost to you.

Last verified 2026-10-31 · OpenAI official pricing · ⚠️ Spotted a wrong price? Report in 30s →

How it compares

GPT-5.6 Sol vs alternatives

Single-call cost (1000 input + 500 output tokens) ranked from cheapest.

ModelPer call
GPT-5.6 Sol
OpenAI · this page
$0.0140
GPT-6 Luna
OpenAI
$0.000350
Claude Haiku 5.5
Anthropic
$0.000350
DeepSeek V3.2
DeepSeek
$0.000480
GPT-5.6 Luna
OpenAI
$0.000800
DeepSeek V4-Flash
DeepSeek
$0.000900
Recommended use

When to choose GPT-5.6 Sol

GPT-5.6 Sol shines for complex multi-step reasoning, code generation and review, general-purpose tasks, and image and document understanding. Token counts on this page are exact via the official tokenizer.

✓Context window of 922K tokens handles long conversations and large documents.
✓Prompt caching available — significant savings for repeated system prompts.
✓Batch API support for non-realtime workloads at ~50% discount.
✓Tool / function calling supported.
FAQ

Frequently asked questions

GPT-5.6 Sol costs $4.00 per 1M input tokens and $20.00 per 1M output tokens. A typical chat call (1000 input + 500 output tokens) costs approximately $0.0140. Use the calculator above to estimate your specific use case.
GPT-5.6 Sol supports a 922K token context window with a max output of 128,000 tokens.
Yes. Cached input is priced at $0.40 per 1M tokens — 90% cheaper than uncached input. This is especially valuable for repeated system prompts, long-context retrieval, and chat threads with shared history.
Yes. GPT-5.6 Sol supports the Batch API at $2.50 input / $15.00 output per 1M tokens — typically 50% off standard pricing. Batch jobs complete within ~24 hours, ideal for non-realtime workloads like overnight data processing or content generation pipelines.
Yes, GPT-5.6 Sol accepts image input. Vision token pricing is generally calculated based on image dimensions and folded into the input token count. Specific image-specific pricing varies — refer to OpenAI's official documentation.
Token counts for GPT-5.6 Sol use the official o200k_base tokenizer (exact). Cost calculations use the prices verified on 2026-10-31. For final billing accuracy, always verify with OpenAI's usage dashboard.
GPT-5.6 Sol does not currently support fine-tuning. Consider another model in the OpenAI family if fine-tuning is required.
Related

Other models you might consider

OpenAI
GPT-6 Luna
The cheapest model on this site — with a 922K context window
$0.10 in$0.50 out
Anthropic
Claude Haiku 5.5
$0.10/$0.50 — but only for prompts up to 100K tokens
$0.10 in$0.50 out
DeepSeek
DeepSeek V3.2
DeepSeek's open-weight MoE — top cost/quality ratio
$0.28 in$0.40 out
OpenAI
GPT-5.6 Luna
The cheapest long-context model OpenAI ships — 20x under the flagship
$0.20 in$1.20 out
DeepSeek
DeepSeek V4-Flash
1M context at budget pricing — $0.30/$1.20
$0.30 in$1.20 out