Public data · Transparent method · Including unfavourable rows

Model Price Comparison

This page puts AlphaTech and eight peer API relays side by side across five models. We do not claim to be "the cheapest" — we publish the numbers we collected as they are, including the rows where a competitor undercuts us. Every figure is traceable to each site's public /api/pricing endpoint.

Collection date & method
  • Collected on: 2026-10-10 (a same-day snapshot; any site may change its rates at any time).
  • Source: each site's public /api/pricing endpoint (no authentication required).
  • Formula: input USD/1M = model_ratio × 2 × group_ratio; output USD/1M = input × completion_ratio.
  • Group selection: for each model we take that site's cheapest enabled group (smallest group_ratio), since a user can always route requests through it.
  • Basis: figures are each platform's USD-equivalent list price. Real CNY spend additionally depends on each platform's recharge rate, which is not normalised here; the AlphaTech column also shows CNY at ¥7/USD.
  • Empty cells: "—" means the site did not offer that model as a per-token (quota_type 0) entry on the collection date.

glm-5.3

AlphaTech ranks 2 of 8 by input price on this model (lower is cheaper).

Platform Group used Input USD/1M Output USD/1M Input ¥/1M Output ¥/1M
Run API
runapi.host
glm-sale ×0.625 $0.5900 $2.07 — —
AlphaTech This site cn ×0.6 $0.6857 $2.40 ¥4.80 ¥16.80
模型广场
model.agicamp.com
default ×1 $1.10 $3.84 — —
deepkey.top
deepkey.top
opencode ×0.3 $2.40 $8.40 — —
AI派
aipaiai.cn
国产模型接口调用 ×2 $3.45 $10.88 — —
CCTQ
www.cctq.ai
CN-Model ×0.7 $5.60 $19.60 — —
Nebula API
apinebula.ai
智谱-自部署 ×0.85 $6.80 $23.80 — —
PackyAPI
www.packyapi.ai
glm-sale ×1 $8.00 $28.00 — —

kimi-k3

AlphaTech ranks 2 of 7 by input price on this model (lower is cheaper).

Platform Group used Input USD/1M Output USD/1M Input ¥/1M Output ¥/1M
Run API
runapi.host
kimi-sale ×0.641025 $1.48 $7.41 — —
AlphaTech This site cn ×0.6 $1.71 $8.57 ¥12.00 ¥60.00
deepkey.top
deepkey.top
opencode ×0.3 $6.00 $30.00 — —
AI派
aipaiai.cn
国产模型接口调用 ×2 $7.39 $36.96 — —
PackyAPI
www.packyapi.ai
kimi-sale ×0.5 $10.00 $50.00 — —
CCTQ
www.cctq.ai
CN-Model ×0.7 $14.00 $70.00 — —
Nebula API
apinebula.ai
KIMI-自部署 ×0.85 $17.00 $85.00 — —

deepseek-v4-pro-0813

AlphaTech ranks 1 of 4 by input price on this model (lower is cheaper).

Platform Group used Input USD/1M Output USD/1M Input ¥/1M Output ¥/1M
AlphaTech This site cn ×0.6 $0.3857 $1.16 ¥2.70 ¥8.10
AI派
aipaiai.cn
国产模型接口调用 ×2 $1.03 $3.06 — —
deepkey.top
deepkey.top
opencode ×0.3 $2.70 $8.10 — —
LinksAPI
linksapi.cn
国产大模型(第三方kimi,minimax等) ×1 $5.63 $16.88 — —

qwen3.8-max

AlphaTech ranks 1 of 6 by input price on this model (lower is cheaper).

Platform Group used Input USD/1M Output USD/1M Input ¥/1M Output ¥/1M
AlphaTech This site cn ×0.6 $1.03 $3.09 ¥7.20 ¥21.60
Run API
runapi.host
default ×1 $1.37 $4.11 — —
deepkey.top
deepkey.top
opencode ×0.3 $3.60 $10.80 — —
AI派
aipaiai.cn
国产模型接口调用 ×2 $4.93 $14.78 — —
PackyAPI
www.packyapi.ai
bailian ×0.5 $6.00 $18.00 — —
LinksAPI
linksapi.cn
国产大模型(第三方kimi,minimax等) ×1 $15.00 $45.00 — —

gpt-6.1-sol

AlphaTech ranks 4 of 8 by input price on this model (lower is cheaper).

Platform Group used Input USD/1M Output USD/1M Input ¥/1M Output ¥/1M
Run API
runapi.host
codex ×0.184366 $0.1500 $0.7400 — —
deepkey.top
deepkey.top
codex ×0.12 $0.2400 $1.20 — —
CCTQ
www.cctq.ai
Codex-Plus ×0.2 $0.4000 $2.00 — —
AlphaTech This site default ×0.3 $0.6000 $3.00 ¥4.20 ¥21.00
PackyAPI
www.packyapi.ai
codex-sale ×0.3 $0.6000 $3.00 — —
AI派
aipaiai.cn
GPT-PLUS ×0.15 $0.6200 $3.11 — —
LinksAPI
linksapi.cn
GPT低价特供 ×0.25 $0.6300 $3.13 — —
Nebula API
apinebula.ai
CODEX ×0.39 $29.25 $58.50 — —
What we can honestly conclude: The tables above contain both rows where AlphaTech is cheaper (e.g. deepseek-v4-pro-0813, qwen3.8-max) and rows where a competitor is cheaper (e.g. glm-5.3, gpt-6.1-sol on some platforms). We do not claim to be the absolute cheapest. AlphaTech's consistent advantage is that domestic models are billed at official price × 0.6 (the cn group), and that our figures come from a public endpoint you can re-check at any time. Compare against the models and groups you actually need.

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