Models

qwen3.7-max

1049K ctx · 5 providers · updated 2026-08-05 00:15 UTC

Cheapest
$1.24 via 0G Router
Avg price
$2.56 /1M
providers
5
(3 × $0.825 + $2.48) ÷ 4 = $1.24/1M — 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 $0.825, 3:1 $1.24, 1:1 $1.65, output only $2.48 per 1M.

The board shows this model's cheapest measured offer ($1.24/1M); the smaller figure under it is the mean of the 5 offers listed below ($2.56/1M). Add those up and divide — it matches.

ProviderRouter / Source$ in /1M$ out /1MTTFTTPSUptimeEvidence
0g-teetls 0G Router $0.825$2.48 API-measured
novita-ai Novita AI $1.25$3.75 API-measured
openrouter-best OpenRouter $1.48$4.42 API-measured
dashscope Pricebook (LiteLLM) $2.50$7.50 Official list
requesty Requesty $2.50$7.50 API-measured

Price trend

Cheapest blended price, last 31 days (USD/1M): $1.2376 → $1.2376 → $1.2376 → $1.2376 → $1.2376 → $1.2376 → $1.2376 → $1.2376 → $1.2376 → $1.2376 → $1.2376 → $1.2376 → $1.2376 → $1.2376 → $1.2376 → $1.2376 → $1.2376 → $1.2376 → $1.2376 → $1.2376 → $1.2376 → $1.2376 → $1.1063 → $1.2376 → $1.2376 → $1.2376 → $1.2376 → $1.2376 → $1.2376 → $1.2376 → $1.2376

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/qwen3.7-max.json. Free reuse requires attribution to tkx.org.

FAQ

How much does qwen3.7-max cost?

Cheapest measured offer right now: $0.825/1M input, $2.4755/1M output via 0g-teetls — across 5 tracked providers, refreshed hourly.

Who serves qwen3.7-max?

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

Is the price of qwen3.7-max 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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