A cleaner route to frontier AI

Plug in fast.
Slash the spend.

1 API key 339 models. Keep the chat client your team already knows. pick a frontier model, and keep more room in the budget for the next idea.

Drop this into your client
$base_url=https://api.digislash.com/v1
OpenAI-compatible endpointPython quickstart

DigiSlash rates and catalog size come from our live store. Reference pricing from LLM Stats.

339 frontier modelsone clean access layer
DigiSlash price slash Live reference
Featured model / rate previewGPT-6 Astra
slash 93% off
Price slash / 1M tokensUSD
Input$10.00$0.7354
Output$50.00$3.677
Live store ratesContext 1.05M
Equal-token bundle / math that smilesslash 77% average savings
One API, many modelsTransparent token ratesUp to 92.646% lowerStore-synced rates
Why DigiSlash

The good stuff,
without the markup.

See our approach
339 modelsfrontier intelligence
in one catalog
Up to 93%savings vs.
LLM Stats references
1.05Mlargest context
window listed
Clear ratesinput and output
shown separately
Model rates

Compare the real
cost of intelligence.

Reference rates are sourced from LLM Stats. DigiSlash rates and the catalog count are synced from the live DigiSlash store pricing feed.The table covers the 20 most-used models out of 339, sorted by savings.

per 1M tokens / USD
AI model reference prices compared to live DigiSlash store prices
ModelContextOG rates / 1MOur rates liveYou save ⓘDetails
GPT-6 AstraOpenAI
1.05M
$10.00 in$50.00 out
$0.7354 in$3.677 out
93%$55.5876 / bundle
GPT-6.1 SolOpenAI
1.05M
$2.00 in$10.00 out
$0.1471 in$0.7354 out
93%$11.1175 / bundle
GPT-5.6 SolOpenAI
1.05M
$5.00 in$30.00 out
$0.3677 in$2.2062 out
93%$32.4261 / bundle
GPT-6 SolOpenAI
1.05M
$2.00 in$10.00 out
$0.1471 in$0.7354 out
93%$11.1175 / bundle
GPT-5.5OpenAI
1.05M
$5.00 in$30.00 out
$0.3677 in$2.2062 out
93%$32.4261 / bundle
GPT-6 LunaOpenAI
1.05M
$0.10 in$0.50 out
$0.0118 in$0.0588 out
88%$0.5294 / bundle
Gemini 3.8 FlashGoogle
1.05M
$0.75 in$3.75 out
$0.1103 in$0.5515 out
85%$3.8382 / bundle
Grok 4.7xAI
500K
$2.00 in$6.00 out
$0.2941 in$0.8824 out
85%$6.8235 / bundle
Gemini 4 ArgonGoogle
1.05M
$2.00 in$10.00 out
$0.2941 in$1.4706 out
85%$10.2353 / bundle
Gemini 3.7 FlashGoogle
1.05M
$0.75 in$3.75 out
$0.1103 in$0.5515 out
85%$3.8382 / bundle
Gemini 3 FlashGoogle
1M
$0.50 in$3.00 out
$0.0735 in$0.4412 out
85%$2.9853 / bundle
Claude Opus 5Anthropic
1M
$5.00 in$25.00 out
$0.8824 in$4.412 out
82%$24.7056 / bundle
Claude Opus 4.6Anthropic
1M
$5.00 in$25.00 out
$0.8824 in$4.412 out
82%$24.7056 / bundle
Claude Sonnet 5Anthropic
1M
$2.00 in$10.00 out
$0.353 in$1.7648 out
82%$9.8822 / bundle
Claude Opus 5.5Anthropic
1M
$4.00 in$20.00 out
$0.7059 in$3.5296 out
82%$19.7645 / bundle
Claude Sonnet 5.5Anthropic
1M
$2.00 in$10.00 out
$0.353 in$1.7648 out
82%$9.8822 / bundle
Claude Fable 5.1Anthropic
1M
$10.00 in$50.00 out
$3.5294 in$17.647 out
65%$38.8236 / bundle
Gemini 3.1 ProGoogle
1.05M
$2.00 in$12.00 out
$0.7059 in$4.2353 out
65%$9.0588 / bundle
Qwen 3.8 MaxQwen
1.05M
$1.65 in$4.951 out
$1.20 in$3.60 out
27%$1.801 / bundle
DeepSeek V4.1 FlashDeepSeek
1.05M
$0.22 in$0.66 out
$0.18 in$0.72 out
-2%-$0.02 / bundle
Live catalog. Savings compare 1M input + 1M output tokens. DigiSlash rates are synced from our store catalog.View source
Pricing notes

Clear inputs.
No mystery math.

Reference prices and context windows come from LLM Stats . DigiSlash rates and the catalog count are synced from the live DigiSlash store pricing feed . Discounts use a bundle of 1M input + 1M output tokens: (reference cost − DigiSlash cost) ÷ reference cost. Provider-specific, cached, batch, and long-context pricing may differ; these are catalog references, not guaranteed provider quotes.

Live catalog Store catalog liveChecked Nov 5, 2026Visit LLM Stats
How it works

Four steps.
Minutes to first token.

No procurement cycle, no SDK lock-in. Create a key, fund it, pick a model, and point your client at DigiSlash.

01

Create an API key

Sign in to the dashboard and issue an API key.

02

Top up your wallet

Deposit into your balance from the dashboard. Spend draws down at the exact rates shown above — no invoices, no surprises.

03

Pick your model

Browse the models page, find the one that fits the job, and grab its model ID. Rates and context windows are listed per model.

A better rate. A bigger runway.

Give your next idea
more room to run.

Less time weighing token costs. More time building something worth using. Find your model, then make your next move.

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