GPT-5.6 Sol Pro vs GPT-5 Nano
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on November 14, 2026· 230 models
GPT-5.6 Sol Pro is the same underlying model as GPT-5.6 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.
- Reasoning estimated
- ▲
- Speed estimated
- Input
- Output
- Context
- ▲1.1 M tokens
- Max output
- 128 K
- Input, $ per 1M tokens
- $4.00
- Output, $ per 1M tokens
- $20.00
- Cache read, $ per 1M
- $0.400
- Batch (input / output)
- $2.00 / $10.00
- Tool calling
- Yes
- Released
- ▲07/09/2026
- Knowledge cutoff
- 2026-02-16
- API id
- openai/gpt-5.6-sol-pro
GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments.
- Reasoning estimated
- Speed estimated
- ▲
- Input
- Output
- Context
- 400 K tokens
- Max output
- 128 K
- Input, $ per 1M tokens
- ▲$0.050
- Output, $ per 1M tokens
- ▲$0.400
- Cache read, $ per 1M
- $0.005
- Batch (input / output)
- $0.025 / $0.200
- Tool calling
- Yes
- Released
- 08/07/2025
- Knowledge cutoff
- 2024-05-30
- API id
- openai/gpt-5-nano
Which is the better API choice: GPT-5.6 Sol Pro vs GPT-5 Nano?
- GPT-5 Nano: cheapest input (99% less than GPT-5.6 Sol Pro)
- GPT-5 Nano: cheapest output
- GPT-5.6 Sol Pro: largest context (1.1 M)
- GPT-5.6 Sol Pro: the newest (07/09/2026)
- GPT-5.6 Sol Pro: most reasoning (estimated)
- GPT-5 Nano: the fastest (estimated)
GPT-5 Nano costs 99% less on input and 98% less on output than GPT-5.6 Sol Pro ($0.050 / $0.400 versus $4.00 / $20.00 per million tokens). GPT-5.6 Sol Pro accepts more context (1.1 M). GPT-5.6 Sol Pro and GPT-5 Nano offer a batch tier at half price for jobs that do not need an immediate answer.
What would your product cost?
Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.
With GPT-5 Nano you save $137.65 a month versus GPT-5.6 Sol Pro (98% less).
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Paste your prompt: tokens and cost per model
Rough estimate (about 4 characters per token). Nothing is sent to any server.
Cost of sending it 1,000 times (input only)
- 1GPT-5 Nano OpenAI$0.004
- 2Claude Haiku 5.5 Anthropic$0.008
- 3Claude Sonnet 5.5 Anthropic$0.152
- 4GPT-5.6 Sol Pro OpenAI$0.304
- 5Claude Opus 5.5 Anthropic$0.304
- 6Claude Opus 5 Anthropic$0.380
- 7Claude Fable 5.2 Anthropic$0.608
- 8Claude Fable 5.1 Anthropic$0.760
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See allFrequently asked questions
Which is the better API choice: GPT-5.6 Sol Pro vs GPT-5 Nano?
GPT-5 Nano costs 99% less on input and 98% less on output than GPT-5.6 Sol Pro ($0.050 / $0.400 versus $4.00 / $20.00 per million tokens). GPT-5.6 Sol Pro accepts more context (1.1 M). GPT-5.6 Sol Pro and GPT-5 Nano offer a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: GPT-5.6 Sol Pro and GPT-5 Nano?
GPT-5 Nano is cheaper: $0.050 per million input tokens and $0.400 per million output tokens, versus $4.00 / $20.00 for GPT-5.6 Sol Pro.
Which has more context: GPT-5.6 Sol Pro and GPT-5 Nano?
GPT-5.6 Sol Pro accepts 1.1 M tokens of context; GPT-5 Nano accepts 400 K.
Which is newer: GPT-5.6 Sol Pro and GPT-5 Nano?
GPT-5.6 Sol Pro was released on 07/09/2026; GPT-5 Nano on 08/07/2025.
What would 10,000 requests a month cost with GPT-5.6 Sol Pro and GPT-5 Nano?
With 1,500 input and 400 output tokens per request: GPT-5.6 Sol Pro: $140.00; GPT-5 Nano: $2.35 a month, at list price.
Where do the prices come from and how often are they updated?
From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.
What does price per million tokens mean?
It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.
Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.