Alibaba Qwen · LLM API pricing

Qwq 32B API pricing: cheapest provider

5 providers sell Qwq 32B. Nscale is cheapest; the most expensive charges 4.9× as much for the same model.

  • Cheapest$0.185per 1M · Nscale
  • Input · output$0.18 / $0.20per 1M tokens
  • Price gap4.9×across 5 providers
  • Accuracy65.3%GPQA
  • Context131Kmax tokens
$0.185 Nscale4.9× spread$0.90 Fireworks AI
Already paying for Qwq 32B? Check if you overpay →

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

Qwq 32B 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

Share this page URL to keep your scenario. 5 of 5 providers meet these assumptions.

ProviderEstimated / monthInput / 1MOutput / 1MContext
1
NscaleInference provider - lowest for your volumePricing page
$2.20$0.18$0.20Not listed
2
DeepInfraInference providerPricing page
$2.30$0.15$0.40131,072
$2.40$0.15$0.4532,768
$8.60$0.66$1.0024,000
5
Fireworks AIInference providerPricing page
$10.80$0.90$0.90131,072

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 QwQ-32B, run Aug 28, 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: $0.185 per 1M tokens at Nscale. All price changes

Switch to the cheapest provider

Switch to Nscale

Already using the OpenAI SDK? Change the base URL, key and model name:

from openai import OpenAI
import os

client = OpenAI(
    base_url="https://inference.api.nscale.com/v1",
    api_key=os.environ["NSCALE_SERVICE_TOKEN"],
)
response = client.chat.completions.create(
    model="Qwen/QwQ-32B",
    messages=[{"role": "user", "content": "Hello"}],
)
Base URL from Nscale's API docs, model name from the open pricing datasets. Check the model page in Nscale's docs before you switch production traffic.

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Before you pick a provider

Context windows differ by provider, from 24K to 131K tokens. A cheaper host may not accept your longest prompts.