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BALANCED GPT-6 TIERGPT-6 FAMILY1.05M CONTEXTCACHE READS AT 5%TEXT + VISION

GPT-6.1 Sol API Pricing

GPT-6.1 Sol is OpenAI's balanced GPT-6 model, released September 29, 2026 at $2.00/M input, $0.10/M cached input and $10.00/M output. That is the GPT-6 Sol card from a week earlier with one change: the cache read falls from $0.20 to $0.10, 5% of input. OpenAI now lists 6.1 Sol in 6 Sol's place between Astra and Luna, and 6 Sol stays on the price list. Prompts over 272K input tokens bill on the long-context card at $4.00/M input and $15.00/M output.

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 - 95% off
$0.10/M
Prompt cache read price -95%
Effective - agentic blend
$1.29/M
92/8 split - 82% cache
§ 01 / TERMINAL

Run the numbers.

Live calculator pre-loaded with GPT-6.1 Sol's standard short-context rates. Reasoning effort runs from low to max - none and minimal are not supported on this model - 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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Open full calculator (all models · share URL · CSV) →
§ 02 / SCENARIOS

Real-world presets.

§ 03 / TOKENIZER

Paste text. See tokens. See cost.

What's a token →
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 593
Words 98
Tokens (exact) 147 tokens
Cost as input · uncached $0.00029 USD
Cost as output · uncached $0.00147 USD
Cost as cached input $0.00001 USD
§ 04 / SHELF

Up against the shelf.

All models →
Model Input /M Output /M Effective blended Context Best for
GPT-6.1 Sol Current $2.00 cache $0.10 $10.00 $1.29 agentic 92/8 1.05M Balanced coding and professional work
GPT-6 Astra $10.00 cache $1.00 $50.00 $6.82 +5.3× 1.05M OpenAI's top-of-stack reasoning tier
GPT-6 Luna $0.10 cache $0.01 $0.50 $0.0682 −19× 1.05M High-volume routing tier
GPT-6 Sol $2.00 cache $0.20 $10.00 $1.36 +6% 1.05M The previous Sol, with the none effort
GPT-5.6 Terra $2.00 cache $0.20 $12.00 $1.52 +18% 1.05M Balanced GPT-5.6 agents
Claude Sonnet 5.5 $2.00 cache $0.10 $10.00 $1.29 same 1M Anthropic's model at the same list price
Grok 4.7 $2.00 cache $0.50 $6.00 $1.19 −8% 500K Cheaper frontier coding model
Gemini 3.8 Flash $0.75 cache $0.075 $3.75 $0.481 −2.7× · promo 1M Multimodal high-volume alternative
§ 05 / DEEP LINKS

Specific scenarios.

All calculators →

Frequently asked.

GPT-6.1 Sol pricing questions - the standard card, what changed from GPT-6 Sol, and where it sits against Astra and Claude Sonnet 5.5.

Q · 01 How much does GPT-6.1 Sol cost? +
OpenAI lists gpt-6.1-sol at $2.00/M input, $0.10/M cached input, $2.50/M cache writes and $10.00/M output for prompts up to 272K input tokens. Under our standard blend (92% input, 82% cache hits) that works out to $1.29/M.
Q · 02 What changed from GPT-6 Sol? +
On price, only the cache read: $0.10/M against $0.20/M, so the same workload blends to $1.29/M instead of $1.36/M. Input, cache writes and output are identical. Two behaviours differ: 6.1 Sol does not accept the none or minimal reasoning effort, and it needs the Responses API for tool calling, where 6 Sol can call functions in Chat Completions with reasoning off. OpenAI now names 6.1 Sol in its model list and points gpt-6-sol users to migration guidance; GPT-6 Sol remains on the price list.
Q · 03 When does long-context pricing apply? +
When a prompt exceeds 272K input tokens. The whole request then bills at $4.00/M input, $0.20/M cached input and $15.00/M output - input and cache rates double, output rises by half.
Q · 04 How much cheaper are Batch and Flex? +
Both are half the standard card: $1.00/M input and $5.00/M output, with cached input at $0.05/M. Fast mode, the tier OpenAI renamed from Priority on July 30, 2026, runs at double standard, $4/M and $20/M.
Q · 05 How does it compare with GPT-6 Astra? +
GPT-6 Astra lists at $10.00 / $50.00, five times 6.1 Sol on both sides, and blends to $6.82/M. OpenAI's pitch for 6.1 Sol is "near-Astra performance at a lower cost" and its advice is to run both on your own tasks before choosing.
Q · 06 How does it compare with Claude Sonnet 5.5? +
Claude Sonnet 5.5 has the same input and output sticker, $2.00 / $10.00, and the same cache-write rate. Since October 7, 2026 the cache read matches too: Anthropic halved Sonnet 5.5's to $0.10/M, the same as $0.10/M here, so the cache-heavy agent blends come to $1.29/M and $1.29/M. What still separates them is the long-context card above 272K input tokens, which Sonnet 5.5 does not have.
Q · 07 What is GPT-6.1 Sol Pro? +
Not a separate model. Some resellers list a "GPT-6.1 Sol Pro", which is gpt-6.1-sol called with reasoning.mode set to pro. OpenAI bills pro mode at the model's standard token rates; the model simply does more work, so the same request uses more tokens and costs more.
Q · 08 What is the context window? +
1.05M tokens, of which up to 922K can be input, with 128K max output and a knowledge cutoff of April 30, 2026. It takes text and image input and returns text, on the Responses and Chat Completions APIs.
Q · 09 Does regional processing cost more? +
Yes, 10% on regional data-residency endpoints. GPT-6.1 Sol supports US and EU data residency, but Fast mode is not available with EU residency.