Models

QwQ-32B

nscale · 131K ctx · 7 providers · updated 2026-08-05 00:15 UTC

Cheapest
$0.185 Official list · Nscale
Avg price
$0.442 /1M
providers
7
(3 × $0.180 + $0.200) ÷ 4 = $0.185/1M — the $/1M figure blends input and output at 3:1 — that is the only way models with two different rates can be ranked on one axis. Your actual rate depends on your own input:output mix — input only $0.180, 3:1 $0.185, 1:1 $0.190, output only $0.200 per 1M.

The board shows this model's cheapest measured offer ($0.185/1M); the smaller figure under it is the mean of the 7 offers listed below ($0.442/1M). Add those up and divide — it matches.

ProviderRouter / Source$ in /1M$ out /1MTTFTTPSUptimeEvidence
nscale Pricebook (LiteLLM) $0.180$0.200 Official list
hyperbolic Pricebook (LiteLLM) $0.200$0.200 Official list
deepinfra Pricebook (LiteLLM) $0.150$0.400 Official list
nebius Pricebook (LiteLLM) $0.150$0.450 Official list
sambanova Pricebook (LiteLLM) $0.500$1.00 Official list
cloudflare Pricebook (LiteLLM) $0.660$1.00 Official list
fireworks_ai Pricebook (LiteLLM) $0.900$0.900 Official list

Price trend

$0.185 $0.185 2026-07-06 → 2026-08-05 · 31d 2026-07-06 · O 0.185 H 0.185 L 0.185 C 0.185 $/1M2026-07-07 · O 0.185 H 0.185 L 0.185 C 0.185 $/1M2026-07-08 · O 0.185 H 0.185 L 0.185 C 0.185 $/1M2026-07-09 · O 0.185 H 0.185 L 0.185 C 0.185 $/1M2026-07-10 · O 0.185 H 0.185 L 0.185 C 0.185 $/1M2026-07-11 · O 0.185 H 0.185 L 0.185 C 0.185 $/1M2026-07-12 · O 0.185 H 0.185 L 0.185 C 0.185 $/1M2026-07-13 · O 0.185 H 0.185 L 0.185 C 0.185 $/1M2026-07-14 · O 0.185 H 0.185 L 0.185 C 0.185 $/1M2026-07-15 · O 0.185 H 0.185 L 0.185 C 0.185 $/1M2026-07-16 · O 0.185 H 0.185 L 0.185 C 0.185 $/1M2026-07-17 · O 0.185 H 0.185 L 0.185 C 0.185 $/1M2026-07-18 · O 0.185 H 0.185 L 0.185 C 0.185 $/1M2026-07-19 · O 0.185 H 0.185 L 0.185 C 0.185 $/1M2026-07-20 · O 0.185 H 0.185 L 0.185 C 0.185 $/1M2026-07-21 · O 0.185 H 0.185 L 0.185 C 0.185 $/1M2026-07-22 · O 0.185 H 0.185 L 0.185 C 0.185 $/1M2026-07-23 · O 0.185 H 0.185 L 0.185 C 0.185 $/1M2026-07-24 · O 0.185 H 0.185 L 0.185 C 0.185 $/1M2026-07-25 · O 0.185 H 0.185 L 0.185 C 0.185 $/1M2026-07-26 · O 0.185 H 0.185 L 0.185 C 0.185 $/1M2026-07-27 · O 0.185 H 0.185 L 0.185 C 0.185 $/1M2026-07-28 · O 0.185 H 0.185 L 0.185 C 0.185 $/1M2026-07-29 · O 0.185 H 0.185 L 0.185 C 0.185 $/1M2026-07-30 · O 0.185 H 0.185 L 0.185 C 0.185 $/1M2026-07-31 · O 0.185 H 0.185 L 0.185 C 0.185 $/1M2026-08-01 · O 0.185 H 0.185 L 0.185 C 0.185 $/1M2026-08-02 · O 0.185 H 0.185 L 0.185 C 0.185 $/1M2026-08-03 · O 0.185 H 0.185 L 0.185 C 0.185 $/1M2026-08-04 · O 0.185 H 0.185 L 0.185 C 0.185 $/1M2026-08-05 · O 0.185 H 0.185 L 0.185 C 0.185 $/1M

Cheapest blended price, last 31 days (USD/1M): $0.185 → $0.185 → $0.185 → $0.185 → $0.185 → $0.185 → $0.185 → $0.185 → $0.185 → $0.185 → $0.185 → $0.185 → $0.185 → $0.185 → $0.185 → $0.185 → $0.185 → $0.185 → $0.185 → $0.185 → $0.185 → $0.185 → $0.185 → $0.185 → $0.185 → $0.185 → $0.185 → $0.185 → $0.185 → $0.185 → $0.185

Data & method

Cheapest ranked by blended = (3×in + out) ÷ 4; performance columns show only when a source provides them, never estimated. “Official list” = LiteLLM open pricebook (MIT); “API-measured” = provider/aggregator public APIs. Machine-readable data: /api/v1/models/qwq-32b.json. Free reuse requires attribution to tkx.org.

About

QwQ-32B is an AI model served by multiple inference providers on AI model marketplaces, known for its role in natural language processing tasks. It is listed under the org tag "nscale".

AI-generated summary from public information — is this yours?

FAQ

How much does QwQ-32B cost?

Cheapest measured offer right now: $0.18/1M input, $0.2/1M output via nscale — across 7 tracked providers, refreshed hourly.

Who serves QwQ-32B?

7 providers currently serve it. The table above lists each with input/output price, TTFT, TPS, uptime and an evidence tier.

Is the price of QwQ-32B going up or down?

The daily candles above track the cheapest blended price ($/1M, 3:1 in:out). TKX snapshots every hour, so drops and hikes show up the same day they happen.

Related analysis

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