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GPT-6.1 Sol pricing

GPT-6.1 Sol API cost from OpenAI — $2.00 per 1M input tokens and $10.00 per 1M output tokens. Sol 6.1 · $0.10 cache reads · >272K input uses long-context rates. Estimate your real monthly bill below, then compare it against every other model.

Input price
$2.00
per 1M input tokens
Output price
$10.00
per 1M output tokens
Cached input
$0.100
per 1M · ~95% off input
Reference call
$0.012
1K in + 1K out

Flagship 1.05M context · all prices USD per 1M tokens, this price verified 2026-10-01.

Cache writes: $2.50 / 1M tokens. Batch and Flex: 50% of Standard. Fast mode: 2× the applicable rate.

Sol 6.1 vs Sol 6: uncached input, output and cache-write prices are unchanged. Cache reads are 50% cheaper. Compare Sol 6.1, Sol 6 and Astra costs →

GPT-6.1 Sol capabilities & limits

Representative specs for this tier — confirm exact limits in the OpenAI docs.

Context window1.05M
Max output128K
Knowledge cutoffApr 30, 2026
API formatOpenAI-compatible
✓ Vision✓ Tools / functions✓ JSON / structured✓ Prompt caching✓ Batch API

API acting up? Check live OpenAI status → · all AI API status

Call GPT-6.1 Sol from your code

The exact model string and endpoint to use. Works with the OpenAI SDK — just point base_url at the URL below.

Model stringgpt-6.1-sol
Base URLhttps://api.openai.com/v1
API key envOPENAI_API_KEY
curl https://api.openai.com/v1/chat/completions \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-6.1-sol",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

Model strings follow each provider's naming convention; confirm the current id in the OpenAI docs before relying on it.

What a GPT-6.1 Sol API call actually costs

Blended input + output cost at GPT-6.1 Sol's list rates — useful yardsticks before you commit to volume.

$0.012
Short call
1K in · 1K out
$0.011
Chat turn
3K in · 500 out
$0.050
RAG / long prompt
20K in · 1K out
$12.00
1M in + 1M out
aggregate of short calls

GPT-6.1 Sol cost calculator

Enter your monthly volume to estimate the GPT-6.1 Sol bill. Runs entirely in your browser.

Estimated monthly cost —

Peak/off-peak and long-context pricing are applied automatically where published. Cache-write, Batch/Flex and Fast-mode adjustments are not included. For the full multi-model breakdown, use the cost calculator.

OpenAI models — GPT-6.1 Sol in context

How GPT-6.1 Sol prices against its siblings. Cheapest reference cost first.

Model Input /1M Output /1M Cost / call* Context Type
GPT-6 Luna
Efficient model for focused, high-volume tasks · >272K input uses long-context rates
$0.100 $0.500 $0.0006 1.05M Fast / cheap
GPT-5.6 Luna
Cost-sensitive, high-volume tier
$0.200 $1.20 $0.0014 1.05M Balanced
GPT-5.4 nano
Cheapest OpenAI tier
$0.200 $1.25 $0.0015 400K Fast / cheap
GPT-5.4 mini $0.750 $4.50 $0.0053 400K Balanced
GPT-6.1 Sol
Sol 6.1 · $0.10 cache reads · >272K input uses long-context rates
$2.00 $10.00 $0.012 1.05M Flagship
GPT-6 Sol
Complex coding and agentic workflows · >272K input uses long-context rates
$2.00 $10.00 $0.012 1.05M Flagship
GPT-5.6 Terra
Balances intelligence and cost
$2.00 $12.00 $0.014 1.05M Flagship
GPT-5.4
Balanced flagship
$2.50 $15.00 $0.017 400K Flagship
GPT-5.6 Sol
Flagship for complex professional work
$4.00 $20.00 $0.024 1.05M Flagship
GPT-5.5
Flagship
$5.00 $30.00 $0.035 400K Flagship
GPT-6 Astra
Also called GPT-6 or Astra · >272K input uses long-context rates
$10.00 $50.00 $0.060 1.05M Flagship

*Reference cost of one call with 1,000 input + 1,000 output tokens — a neutral yardstick. Use the calculator for your real usage. Cheapest row highlighted.

Cheaper than GPT-6.1 Sol? In the same flagship tier, MiniMax-M3 runs $0.300 in / $1.20 out. For a 1K-input / 1K-output reference workload, the lowest-cost model tracked here is Gemini 1.5 Flash-8B — see the cheapest LLM API guide.

OpenAI Sol 6.1 API pricing and Codex access

GPT-6.1 Sol is the model covered by this Sol 6.1 pricing page. Use gpt-6.1-sol as the API model ID. Searches for “GPT 6.1” or “OpenAI Sol 6.1” can refer to this model; the numbers here apply specifically to its API usage.

The official release announcement also lists availability in Codex and ChatGPT Work. Codex plan limits and subscription billing are separate from these API token prices. For tool calling, use the Responses API; Chat Completions supports this model without tool calling.

Billable reasoning tokens count toward output cost. Regional processing adds a 10% premium where available; the estimator excludes that premium. Sol 6.1 Fast is unavailable with EU data residency. Use the Sol 6.1 vs Sol 6 price comparison to include cache writes and processing modes in your estimate.

How GPT-6.1 Sol pricing works

GPT-6.1 Sol is billed per token: a lower input price of $2.00 per million tokens for everything you send, and a higher output price of $10.00 per million for everything the model generates. To turn that into a real GPT-6.1 Sol bill, multiply by your monthly request volume and average prompt/response length — the calculator above does exactly that.

Prompt caching is the biggest lever on your GPT-6.1 Sol cost: cached input tokens bill at just $0.100 per million — about 95% cheaper. If you reuse a long system prompt or context across calls, caching can dramatically cut the input portion of your bill.

Long context: once input exceeds 272K, the provider prices the full request at 2× input/cache rates and 1.5× output rates. Cache writes are $2.50 per million at Standard rates.

List prices move fast — always confirm the current numbers on the official OpenAI pricing page before relying on them for budgeting.

GPT-6.1 Sol pricing FAQ

How much does the GPT-6.1 Sol API cost?

GPT-6.1 Sol costs $2.00 per 1M input tokens and $10.00 per 1M output tokens, with cached input at $0.100 per 1M (about 95% off). Prompts above 272K use 2× input/cache rates and 1.5× output rates for the full request. A typical 3K-input / 500-output call at the displayed rate works out to about $0.011.

What is GPT-6.1 Sol's context window?

GPT-6.1 Sol has a 1.05M-token context window. Standard uncached input is $2.00 per 1M tokens for prompts up to 272K input tokens. Above that threshold, the full request uses $4.00 per 1M uncached input, 2× cache rates and 1.5× output rates.

Does GPT-6.1 Sol support prompt caching?

Yes. At Standard rates, GPT-6.1 Sol bills cache-read tokens at $0.100 per 1M instead of $2.00 uncached — roughly 95% cheaper for the repeated part of your prompts. Above 272K input tokens, both rates are multiplied by 2 for the full request. Cache writes have a separate $2.50 per 1M Standard rate.

Is there a cheaper alternative to GPT-6.1 Sol?

In the same flagship tier, MiniMax-M3 (MiniMax) is cheaper at $0.300 in / $1.20 out. For the 1K-input / 1K-output reference workload, the lowest-cost model tracked in this catalog is Gemini 1.5 Flash-8B.

Compare GPT-6.1 Sol with other models