LLM API pricing
Inkling API pricing: cheapest provider
3 providers sell Inkling. DeepInfra is cheapest, and listed prices are close.
- Cheapest$1.73per 1M · DeepInfra
- Input · output$0.95 / $4.05per 1M tokens
- Price gap1.0×across 3 providers
- Accuracy88.3%GPQA · xhigh reasoning
- Context1Mmax tokens
Standard list prices in USD from each provider's pricing page · last price change Sep 28, 2026 · How we collect and rank prices
Ranked for your volume
Inkling monthly cost by provider
Change the monthly tokens and the ranking updates instantly, using each provider's standard list price.
More requirements: caching, context, features, provider
| Provider | Estimated / month | Input / 1M | Output / 1M | Cached input / 1M | Context |
|---|---|---|---|---|---|
1 DeepInfraInference provider - lowest for your volumePricing page | $17.60 | $0.95 | $4.05 | $0.16 | 524,288 |
2 Fireworks AIInference providerPricing page | $18.10 | $1.00 | $4.05 | $0.17 | 1,048,576 |
3 Together AIInference providerPricing page | $18.10 | $1.00 | $4.05 | $0.17 | 524,288 |
Order depends on listed price for your volume only. No provider pays for its position.
Input volume includes the cached share, not an additional token volume. This is a list-price estimate, not a quote: cache-write charges, cache eligibility/TTL, batch discounts, long-context surcharges, regional pricing and taxes are excluded. Check the provider's terms for your workload before switching.
Accuracy: GPQA Diamond (graduate-level science questions) measured by Epoch AI (CC BY 4.0) on Inkling_xhigh, run Aug 5, 2026. The model is the same at every provider, though quantized deployments can score lower.
Price history
The cheapest price has not changed since tracking started on Sep 28, 2026: $1.73 per 1M tokens at DeepInfra. All price changes
Switch to the cheapest provider
Already using the OpenAI SDK? Change the base URL, key and model name:
from openai import OpenAI
import os
client = OpenAI(
base_url="https://api.deepinfra.com/v1/openai",
api_key=os.environ["DEEPINFRA_API_KEY"],
)
response = client.chat.completions.create(
model="thinkingmachines/Inkling",
messages=[{"role": "user", "content": "Hello"}],
)Compare Inkling with another model
Or pick any model
Before you pick a provider
Context windows differ by provider, from 524K to 1M tokens. A cheaper host may not accept your longest prompts.
3 of 3 providers list a cached-input price. Repeated system prompts or documents can cost much less there than the standard input rate shown above.