Models

Qwen3-32B:flex

deepinfra · 131K ctx · 11 providers · updated 2026-09-19 02:15 UTC

Cheapest
$0.104 via Requesty
Avg price
$0.252 /1M · 1 outlier(s) excluded
providers
11
(3 × $0.064 + $0.224) ÷ 4 = $0.104/1M — 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 $0.064, 3:1 $0.104, 1:1 $0.144, output only $0.224 per 1M.

The board shows this model's cheapest measured offer ($0.104/1M); the smaller figure under it is the mean of the 12 offers listed below ($0.252/1M). Add those up and divide — it matches. 1 offer(s) above 10x the median were left out of the average and flagged ⚠ in the table below — they are still listed, and still compete for the cheapest price.

ProviderRouter / Source$ in /1M$ out /1MTTFTTPSUptimeEvidence
requesty Requesty $0.064$0.224 API-measured
ovhcloud Pricebook (LiteLLM) $0.080$0.230 Official list
nscale HuggingFace Router $0.080$0.250 763ms 38 API-measured
deepinfra Pricebook (LiteLLM) $0.080$0.280 Official list
openrouter Pricebook (LiteLLM) $0.080$0.280 Official list
deepinfra HuggingFace Router $0.080$0.280 565ms 25 API-measured
DeepInfra (fp8) OpenRouter $0.080$0.280 328ms 30 100.0% API-measured
nebius Pricebook (LiteLLM) $0.100$0.300 Official list
SiliconFlow (fp8) OpenRouter $0.140$0.570 846ms 25 99.5% API-measured
groq Pricebook (LiteLLM) $0.290$0.590 Official list
sambanova Pricebook (LiteLLM) $0.400$0.800 Official list
fireworks_ai Pricebook (LiteLLM) $0.900$0.900 Official list
burncloud ⚠ outlier burncloud $2.00$20.00 API-measured

Price trend

$0.182 $0.0936 2026-07-22 → 2026-09-19 · 60d 2026-07-22 · O 0.1175 H 0.1175 L 0.1175 C 0.1175 $/1M2026-07-23 · O 0.1175 H 0.1175 L 0.1175 C 0.1175 $/1M2026-07-24 · O 0.1175 H 0.1175 L 0.1175 C 0.1175 $/1M2026-07-25 · O 0.1175 H 0.1175 L 0.1175 C 0.1175 $/1M2026-07-26 · O 0.1175 H 0.1175 L 0.1175 C 0.1175 $/1M2026-07-27 · O 0.1175 H 0.13 L 0.1175 C 0.13 $/1M2026-07-28 · O 0.1175 H 0.1183 L 0.1175 C 0.1183 $/1M2026-07-29 · O 0.1175 H 0.1175 L 0.1175 C 0.1175 $/1M2026-07-30 · O 0.1175 H 0.1175 L 0.1175 C 0.1175 $/1M2026-07-31 · O 0.1175 H 0.1175 L 0.1175 C 0.1175 $/1M2026-08-01 · O 0.1175 H 0.1175 L 0.1175 C 0.1175 $/1M2026-08-02 · O 0.1175 H 0.1175 L 0.1175 C 0.1175 $/1M2026-08-03 · O 0.1175 H 0.1175 L 0.1175 C 0.1175 $/1M2026-08-04 · O 0.1175 H 0.1175 L 0.1175 C 0.1175 $/1M2026-08-05 · O 0.1175 H 0.1175 L 0.1175 C 0.1175 $/1M2026-08-06 · O 0.1175 H 0.1175 L 0.1175 C 0.1175 $/1M2026-08-07 · O 0.1175 H 0.1175 L 0.1175 C 0.1175 $/1M2026-08-08 · O 0.1175 H 0.1175 L 0.1175 C 0.1175 $/1M2026-08-09 · O 0.1175 H 0.1175 L 0.1175 C 0.1175 $/1M2026-08-10 · O 0.1175 H 0.1175 L 0.1175 C 0.1175 $/1M2026-08-11 · O 0.1175 H 0.182 L 0.1175 C 0.182 $/1M2026-08-12 · O 0.1175 H 0.1175 L 0.1175 C 0.1175 $/1M2026-08-13 · O 0.1175 H 0.1175 L 0.1175 C 0.1175 $/1M2026-08-14 · O 0.1175 H 0.1175 L 0.104 C 0.104 $/1M2026-08-15 · O 0.104 H 0.104 L 0.104 C 0.104 $/1M2026-08-16 · O 0.104 H 0.104 L 0.104 C 0.104 $/1M2026-08-17 · O 0.104 H 0.104 L 0.104 C 0.104 $/1M2026-08-18 · O 0.104 H 0.104 L 0.104 C 0.104 $/1M2026-08-19 · O 0.104 H 0.104 L 0.104 C 0.104 $/1M2026-08-20 · O 0.1175 H 0.1175 L 0.0936 C 0.0936 $/1M2026-08-21 · O 0.0936 H 0.0936 L 0.0936 C 0.0936 $/1M2026-08-22 · O 0.0936 H 0.0936 L 0.0936 C 0.0936 $/1M2026-08-23 · O 0.0936 H 0.0936 L 0.0936 C 0.0936 $/1M2026-08-24 · O 0.0936 H 0.0936 L 0.0936 C 0.0936 $/1M2026-08-25 · O 0.0936 H 0.0936 L 0.0936 C 0.0936 $/1M2026-08-26 · O 0.0936 H 0.0936 L 0.0936 C 0.0936 $/1M2026-08-27 · O 0.0936 H 0.0936 L 0.0936 C 0.0936 $/1M2026-08-28 · O 0.104 H 0.13 L 0.104 C 0.13 $/1M2026-08-29 · O 0.104 H 0.104 L 0.104 C 0.104 $/1M2026-08-30 · O 0.104 H 0.104 L 0.104 C 0.104 $/1M2026-08-31 · O 0.104 H 0.104 L 0.104 C 0.104 $/1M2026-09-01 · O 0.104 H 0.104 L 0.104 C 0.104 $/1M2026-09-02 · O 0.104 H 0.104 L 0.104 C 0.104 $/1M2026-09-03 · O 0.104 H 0.104 L 0.104 C 0.104 $/1M2026-09-04 · O 0.104 H 0.104 L 0.104 C 0.104 $/1M2026-09-05 · O 0.104 H 0.104 L 0.104 C 0.104 $/1M2026-09-06 · O 0.104 H 0.104 L 0.104 C 0.104 $/1M2026-09-07 · O 0.104 H 0.104 L 0.104 C 0.104 $/1M2026-09-08 · O 0.104 H 0.104 L 0.104 C 0.104 $/1M2026-09-09 · O 0.104 H 0.104 L 0.104 C 0.104 $/1M2026-09-10 · O 0.104 H 0.104 L 0.104 C 0.104 $/1M2026-09-11 · O 0.104 H 0.104 L 0.104 C 0.104 $/1M2026-09-12 · O 0.104 H 0.104 L 0.104 C 0.104 $/1M2026-09-13 · O 0.104 H 0.104 L 0.104 C 0.104 $/1M2026-09-14 · O 0.104 H 0.104 L 0.104 C 0.104 $/1M2026-09-15 · O 0.104 H 0.104 L 0.104 C 0.104 $/1M2026-09-16 · O 0.104 H 0.104 L 0.104 C 0.104 $/1M2026-09-17 · O 0.104 H 0.104 L 0.104 C 0.104 $/1M2026-09-18 · O 0.104 H 0.104 L 0.104 C 0.104 $/1M2026-09-19 · O 0.104 H 0.104 L 0.104 C 0.104 $/1M

Cheapest blended price, last 31 days (USD/1M): $0.0936 → $0.0936 → $0.0936 → $0.0936 → $0.0936 → $0.0936 → $0.0936 → $0.0936 → $0.104 → $0.104 → $0.104 → $0.104 → $0.104 → $0.104 → $0.104 → $0.104 → $0.104 → $0.104 → $0.104 → $0.104 → $0.104 → $0.104 → $0.104 → $0.104 → $0.104 → $0.104 → $0.104 → $0.104 → $0.104 → $0.104 → $0.104

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/qwen3-32b.json. Free reuse requires attribution to tkx.org.

About

Qwen3-32B is a language model AI, designed for natural language processing tasks. It is served by multiple inference providers on AI model marketplaces and is listed under the "ovhcloud" serving-platform tag.

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

FAQ

How much does Qwen3-32B:flex cost?

Cheapest measured offer right now: $0.064/1M input, $0.224/1M output via requesty — across 11 tracked providers, refreshed hourly.

Who serves Qwen3-32B:flex?

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

Is the price of Qwen3-32B:flex 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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