China's relay market: what a million tokens costs
Tokens are becoming the metering and settlement unit of AI services, yet nobody publishes their market price daily. We compress the effective prices of 2132 relay sites into one citable series: each mainstream model's cross-site median price, its discount to the official price, and a chain-linked index level unaffected by models entering or leaving (2026-09-02 = 100).
Discount trend
Market median effective price ÷ official reference. Flagship models sit around 15% because most sites sell "$1 of quota for ¥1" while copying official list prices; the fast tier trades near official. A measurement, not a recommendation of any tier.
Models today
Only latest-two-generation models with ≥15 quoting sites today; "7d" is the change of the market median vs. seven days earlier.
| Model | Official $/M | Market median | 25th–75th pct | Spread | Sites | Ratio | 7d |
|---|---|---|---|---|---|---|---|
| Claude Fable 5.1 Flagship | $50.00 | $8.32 ¥55.50 | $2.62 – $14.99 | 149% | 330 | 17% | -7% |
| GPT-6 Astra Flagship | $50.00 | $3.00 ¥20.00 | $1.05 – $7.50 | 215% | 476 | 6% | -11% |
| Claude Opus 5.5 Flagship | $20.00 | $2.25 ¥14.99 | $0.600 – $5.62 | 223% | 384 | 11% | +5% |
| Kimi K3 Mid | $15.00 | $7.50 ¥50.00 | $2.25 – $13.96 | 156% | 269 | 50% | +0% |
| Claude Sonnet 5.5 Mid | $10.00 | $1.33 ¥8.88 | $0.340 – $2.70 | 177% | 324 | 13% | +2% |
| GPT-6.1 Sol Mid | $10.00 | $0.600 ¥4.00 | $0.207 – $1.50 | 216% | 430 | 6% | +0% |
| GPT-6 Sol Mid | $10.00 | $0.600 ¥4.00 | $0.195 – $1.50 | 218% | 430 | 6% | -8% |
| Gemini 4 Argon Mid | $10.00 | $1.50 ¥10.00 | $0.525 – $3.30 | 185% | 199 | 15% | +0% |
| GLM-5.2 Mid | $7.00 | $2.14 ¥14.27 | $0.840 – $4.20 | 157% | 246 | 31% | -12% |
| Grok 4.7 Mid | $6.00 | $0.225 ¥1.50 | $0.135 – $0.900 | 340% | 246 | 4% | +0% |
| Qwen 3.8 Max Mid | $6.00 | $2.97 ¥19.80 | $0.900 – $5.40 | 152% | 184 | 49% | -8% |
| GPT-6.1 Terra Mid | $5.00 | $0.300 ¥2.00 | $0.103 – $0.958 | 285% | 219 | 6% | +34% |
| Qwen 3.7 Max Mid | $4.42 | $3.24 ¥21.60 | $1.62 – $5.40 | 117% | 142 | 73% | -14% |
| Gemini 3.8 Flash Mid | $4.12 | $0.562 ¥3.75 | $0.197 – $1.16 | 171% | 252 | 14% | +0% |
| GLM-5.3 Mid | $3.60 | $2.10 ¥14.00 | $0.660 – $4.20 | 169% | 243 | 58% | -2% |
| DeepSeek V4 Pro Fast | $1.90 | $1.42 ¥9.45 | $0.480 – $3.24 | 195% | 314 | 75% | -12% |
| Qwen 3.7 Plus Fast | $1.28 | $0.925 ¥6.17 | $0.360 – $1.20 | 91% | 115 | 72% | -3% |
| GLM-5.3 Flashx Fast | $1.25 | $0.525 ¥3.50 | $0.213 – $1.05 | 159% | 64 | 42% | +0% |
| MiniMax M3 Fast | $1.20 | $0.756 ¥5.04 | $0.198 – $1.26 | 140% | 167 | 63% | +0% |
| Claude Haiku 5.5 Fast | $0.500 | $0.110 ¥0.730 | $0.060 – $0.300 | 219% | 209 | 22% | -2% |
| GPT-6 Luna Fast | $0.500 | $0.135 ¥0.900 | $0.033 – $0.487 | 337% | 227 | 27% | -10% |
| DeepSeek V4.1 Flash Fast | $0.500 | $0.360 ¥2.40 | $0.144 – $0.840 | 193% | 268 | 72% | -14% |
| Qwen 3.8 Flash Fast | $0.470 | $0.182 ¥1.22 | $0.101 – $0.405 | 167% | 121 | 39% | -10% |
| MiniMax M3.1 Flash Fast | $0.300 | $0.090 ¥0.600 | $0.054 – $0.420 | 406% | 63 | 30% | +0% |
| DeepSeek V4 Flash Fast | $0.182 | $0.360 ¥2.40 | $0.150 – $0.945 | 221% | 266 | 198% | -20% |
| GLM-5.3 Flash Fast | $0.132 | $0.210 ¥1.40 | $0.067 – $0.420 | 168% | 223 | 159% | +0% |
| Qwen 3.7 Flash Fast | $0.130 | $0.105 ¥0.700 | $0.060 – $0.180 | 114% | 24 | 81% | +17% |
Task cost: how many tokens each model spends on the same job
Tokens carry three bills: production cost, market unit price and task cost. This page gives the first two; the third comes from the same 30 short tasks we send every model daily: record the output tokens each task actually consumed, multiply by the unit price, and you get "what this job costs".
| Model | Output tokens / task (median) | Input tokens / task | Output cost per 1,000 tasks · official | Output cost per 1,000 tasks · market median | Sample |
|---|---|---|---|---|---|
| DeepSeek V4 Flash | 283.2 | 485.0 | ¥0.34 | ¥0.68 | 2 channels · 906 tasks |
| GLM-5.3 | 268.8 | 470.5 | ¥6.45 | ¥3.76 | 2 channels · 927 tasks |
| Gemini 3.8 Flash | 145 | 279 | ¥3.99 | ¥0.54 | 1 channels · 479 tasks |
| Kimi K3 | 110.0 | 130.8 | ¥11.00 | ¥5.50 | 2 channels · 936 tasks |
| grok-4.6 | 99.5 | 748.5 | — | — | 2 channels · 537 tasks |
| Qwen 3.8 Flash | 75.0 | 91.0 | ¥0.24 | ¥0.09 | 1 channels · 480 tasks |
| gpt-5.6-luna | 5.2 | 35.0 | — | — | 2 channels · 535 tasks |
| gpt-5.4-mini | 4.0 | 35.0 | — | — | 1 channels · 480 tasks |
| claude-opus-5 | 2.0 | 96.0 | — | — | 1 channels · 480 tasks |
| claude-sonnet-5 | 2.0 | 98.0 | — | — | 1 channels · 480 tasks |
Definitions, data and citation
Per model per day: cross-site median effective price per million output tokens (≥15 sites); discount = median effective ÷ official reference; tier and whole-market discount and median take the median across models (a daily snapshot, affected by models entering or leaving); the level starts at 2026-09-02 = 100 and chains the geometric mean of day-over-day changes in the medians of models present on both days (unaffected by composition, used for direction); history is rebuilt day by day from quote validity intervals.
Cost layer: GPU rental ledger (what one GPU costs per hour).
Data: price-index.json (full series, updated daily) · cite as "Sinan Token Price Index, compute.sinanlab.com".
<a href="https://compute.sinanlab.com/en/price-index"><img src="https://compute.sinanlab.com/badge/price-index.svg" alt="Sinan Token Price Index" width="360" height="72"></a>Governance rules (definitions, release cadence, change process, conflicts of interest):/governance
Cite this page
Data may be freely cited and republished with attribution and a link. We take no money from measured channels, sell no rankings and add no referral parameters, so you can cite us as an independent third-party measurement.
Sinan Lab, "Sinan Token Price Index", 2026-11-01, https://compute.sinanlab.com/price-index (accessed ____)Sinan Lab, "Sinan Token Price Index", 2026-11-01, https://compute.sinanlab.com/price-index (accessed ____)Media, research institutions and financial institutions needing raw data or custom definitions: write to [email protected], see Press & researchers。
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