|
| 1 | +# Qwen Cloud Free Quota — Federation Routing Guide |
| 2 | + |
| 3 | +> **SOT for model routing. Every agent that touches Qwen models loads this.** |
| 4 | +> **Forged:** 2026-08-20 · **Authority:** F13 · **Provider:** dashscope-payg (Singapore PAYG) |
| 5 | +> **Endpoint:** `https://dashscope-intl.aliyuncs.com/compatible-mode/v1` |
| 6 | +> **API key:** `DASHSCOPE_API_KEY` (PAYG `sk-ws-H.*` — NEVER Token Plan `sk-sp-H.*`) |
| 7 | +
|
| 8 | +--- |
| 9 | + |
| 10 | +## Free Quota Rules (binding) |
| 11 | + |
| 12 | +| Rule | Detail | |
| 13 | +|---|---| |
| 14 | +| **Per-model** | 1M tokens (input+output combined), independent per model | |
| 15 | +| **Validity** | 90 days from activation or model release (whichever later) | |
| 16 | +| **Key rule** | PAYG keys (`sk-ws-H.*`) consume free quota. Token Plan keys (`sk-sp-H.*`) bypass it | |
| 17 | +| **Free Quota Only** | ENABLE in console — blocks calls when exhausted, no surprise charges | |
| 18 | +| **Non-transferable** | Model A quota ≠ Model B quota. Exhausted = exhausted | |
| 19 | +| **Expiry** | Hard expiry. Unused quota = void. No pause, no extension | |
| 20 | + |
| 21 | +--- |
| 22 | + |
| 23 | +## Decision Flow |
| 24 | + |
| 25 | +``` |
| 26 | +USER REQUEST |
| 27 | + │ |
| 28 | + ├─ Text / Reasoning / Code ──────────→ TEXT RANKING (§1) |
| 29 | + │ └─ FED routes, FLAME fallbacks, FRAME observes |
| 30 | + │ |
| 31 | + ├─ Image Understanding / OCR ────────→ VISION INPUT RANKING (§2) |
| 32 | + │ |
| 33 | + ├─ Image Generation ─────────────────→ IMAGE OUTPUT RANKING (§3) |
| 34 | + │ |
| 35 | + ├─ Video Generation ─────────────────→ VIDEO RANKING (§4) |
| 36 | + │ |
| 37 | + ├─ TTS / Voice Synthesis ────────────→ TTS RANKING (§5) |
| 38 | + │ |
| 39 | + ├─ ASR / Transcription ──────────────→ ASR RANKING (§6) |
| 40 | + │ |
| 41 | + └─ Voice Clone / Design ─────────────→ VOICE IDENTITY RANKING (§7) |
| 42 | +``` |
| 43 | + |
| 44 | +**Rule:** Always pick the HIGHEST quality model that has remaining free quota. |
| 45 | +If exhausted → fall to next tier. If all free quota gone → PAYG billing. |
| 46 | + |
| 47 | +--- |
| 48 | + |
| 49 | +## §1 — Text / Reasoning / Code (Quality Rank) |
| 50 | + |
| 51 | +| Rank | Model | Input $/M | Output $/M | Context | Max Out | Use When | |
| 52 | +|---|---|---|---|---|---|---| |
| 53 | +| **Q1** | `qwen3.8-max` | $2.00 | $6.00 | 1M | 131K | Frontier reasoning, complex code, BM Penang fidelity, constitutional work | |
| 54 | +| **Q2** | `qwen3.7-max` | $1.25 | $3.75 | 1M | 131K | General high-quality, good balance of cost/quality | |
| 55 | +| **Q3** | `deepseek-v4-pro` | $0.66 | $1.98 | 1M | 393K | Long output tasks (reports, analysis), best cost/quality | |
| 56 | +| **Q4** | `qwen3.7-plus` | $0.32-0.96 | $1.28-3.84 | 1M | 131K | Mid-tier, structured output, tool calling | |
| 57 | +| **Q5** | `qwen3.7-flash` | $0.03-0.20 | $0.13-0.80 | 1M | 131K | High-volume, simple tasks, classification, routing | |
| 58 | +| **Q6** | `qwen3.6-flash` | $0.25-1.00 | $1.50-4.00 | 1M | 65K | Fallback, longer context needed | |
| 59 | + |
| 60 | +### Federation Role Mapping |
| 61 | + |
| 62 | +| Federation System | Primary Model | Fallback | Why | |
| 63 | +|---|---|---|---| |
| 64 | +| **FED** (routing/LLM) | `qwen3.8-max` | `qwen3.7-max` → `deepseek-v4-pro` | FED needs frontier for accurate routing | |
| 65 | +| **FLAME** (health/fallback) | `qwen3.7-flash` | `qwen3.6-flash` | FLAME does monitoring, not reasoning — speed over quality | |
| 66 | +| **FRAME** (observer) | `qwen3.7-plus` | `qwen3.7-flash` | FRAME observes and reports — needs accuracy, not frontier | |
| 67 | +| **666 JUDGE** | `qwen3.8-max` | `qwen3.7-max` | Constitutional verdicts demand highest quality | |
| 68 | +| **999 SEAL** | `qwen3.8-max` | — | Irreversible — never cheap out | |
| 69 | +| **i-ARIF** (persona) | `qwen3.8-max` | `MiniMax-M3` | BM Penang fidelity needs Qwen3.8 | |
| 70 | +| **Hermes** (daily ops) | `qwen3.7-plus` | `qwen3.7-flash` | Telegram bot — balance quality vs latency | |
| 71 | +| **OpenClaw** (edge) | `qwen3.7-flash` | `glm-5.3` | Edge agent — low latency critical | |
| 72 | + |
| 73 | +### Reasoning / Thinking Models |
| 74 | + |
| 75 | +| Rank | Model | Input $/M | Output $/M | Context | Use When | |
| 76 | +|---|---|---|---|---|---| |
| 77 | +| **Q1** | `qwq-plus` | $0.80 | $2.40 | 131K | Deep reasoning chains, math, logic | |
| 78 | +| **Q2** | `qvq-max` | $1.20 | $4.80 | 131K | Visual reasoning (image + text chains) | |
| 79 | + |
| 80 | +--- |
| 81 | + |
| 82 | +## §2 — Vision Input (Image Understanding) — Quality Rank |
| 83 | + |
| 84 | +| Rank | Model | Input $/M | Output $/M | Context | Max Out | Use When | |
| 85 | +|---|---|---|---|---|---|---| |
| 86 | +| **Q1** | `qwen-vl-max` | $0.80 | $3.20 | 131K | 32K | Complex image analysis, document understanding, charts | |
| 87 | +| **Q2** | `qwen3.5-omni-plus` | $1.40 | $8.30 | 262K | 65K | Multi-image + audio + video understanding (omni) | |
| 88 | +| **Q3** | `qwen3-vl-plus` | $0.20-0.60 | $1.60-4.80 | 262K | 32K | Good vision, lower cost | |
| 89 | +| **Q4** | `qwen-vl-ocr` | $0.07 | $0.16 | 38K | 8K | OCR specialist — documents, tables, receipts | |
| 90 | +| **Q5** | `qwen3-vl-flash` | $0.05-0.12 | $0.40-0.96 | 262K | 32K | Fast vision, simple classification | |
| 91 | +| **Q6** | `qwen3.5-omni-flash` | $0.43 | $1.66 | 262K | — | Quick omni (image+audio), lower cost | |
| 92 | + |
| 93 | +### Vision Routing |
| 94 | + |
| 95 | +| Task | Primary | Fallback | |
| 96 | +|---|---|---| |
| 97 | +| Complex image analysis | `qwen-vl-max` | `qwen3-vl-plus` | |
| 98 | +| Document/OCR extraction | `qwen-vl-ocr` | `qwen3-omni-flash` | |
| 99 | +| Face identification | `deterministic-face-id` (local dlib) | `qwen-vl-max` | |
| 100 | +| Multi-modal (image+audio) | `qwen3.5-omni-plus` | `qwen3.5-omni-flash` | |
| 101 | +| Quick classification | `qwen3-vl-flash` | `qwen3-vl-plus` | |
| 102 | + |
| 103 | +--- |
| 104 | + |
| 105 | +## §3 — Image Generation — Quality Rank |
| 106 | + |
| 107 | +| Rank | Model | Cost/Image | RPM | Use When | |
| 108 | +|---|---|---|---|---| |
| 109 | +| **Q1** | `qwen-image-3.0-pro` | $0.003-0.075 | 5 | Dense layouts, newspapers, menus, storyboards — highest fidelity | |
| 110 | +| **Q2** | `qwen-image-max` | $0.075 | 2 | Flagship realism, photorealistic | |
| 111 | +| **Q3** | `qwen-image-3.0` | $0.003-0.075 | 5 | Latest gen, 12-language text render, 4.5K tokens | |
| 112 | +| **Q4** | `qwen-image-2.0-pro` | $0.075 | 2 | Full-feature accelerated | |
| 113 | +| **Q5** | `z-image-turbo` | $0.015 | 120 | 6B params, 8-step, fastest — #1 on Artificial Analysis | |
| 114 | +| **Q6** | `qwen-image-2.0` | $0.035 | 120 | Quick gen, 1000-token prompts | |
| 115 | +| **Q7** | `wan2.7-image-pro` | $0.075 | 300 | Image editing via natural language | |
| 116 | +| **Q8** | `wan2.6-t2i` | $0.03 | 300 | Older T2I, fast | |
| 117 | + |
| 118 | +### Image Editing |
| 119 | + |
| 120 | +| Rank | Model | Cost/Image | RPM | Use When | |
| 121 | +|---|---|---|---|---| |
| 122 | +| **Q1** | `qwen-image-edit-max` | $0.075 | 2 | Flagship editing, LoRA support | |
| 123 | +| **Q2** | `qwen-image-edit-plus` | $0.03 | 120 | Lighter editing, faster | |
| 124 | + |
| 125 | +### Image Routing |
| 126 | + |
| 127 | +| Task | Primary | Fallback | |
| 128 | +|---|---|---| |
| 129 | +| High-fidelity generation | `qwen-image-3.0-pro` | `qwen-image-max` | |
| 130 | +| Photorealistic | `qwen-image-max` | `qwen-image-3.0-pro` | |
| 131 | +| Fast/cheap generation | `z-image-turbo` | `qwen-image-2.0` | |
| 132 | +| Image editing | `qwen-image-edit-max` | `wan2.7-image-pro` | |
| 133 | +| Text-in-image (multilingual) | `qwen-image-3.0` | `qwen-image-3.0-pro` | |
| 134 | + |
| 135 | +--- |
| 136 | + |
| 137 | +## §4 — Video Generation — Quality Rank |
| 138 | + |
| 139 | +| Rank | Model | Cost/Second | RPM | Max Duration | Use When | |
| 140 | +|---|---|---|---|---|---| |
| 141 | +| **Q1** | `wan3.0-video` | $0.05-0.20 | 50 | ~10s | **NEWEST** — dynamic transitions, best quality | |
| 142 | +| **Q2** | `happyhorse-1.1-t2v` | $0.042-0.108 | 300 | ~10s | Realistic dynamic, fast RPM | |
| 143 | +| **Q3** | `wan2.7-t2v-2026-06-12` | $0.10-0.15 | 300 | ~10s | Smooth motion, cinematic | |
| 144 | +| **Q4** | `wan2.7-i2v-2026-04-25` | $0.10-0.15 | 300 | ~10s | Subject/text preservation from image | |
| 145 | +| **Q5** | `wan2.7-r2v-2026-06-12` | $0.10-0.15 | 300 | ~10s | Multi-reference, preserves voice/look | |
| 146 | +| **Q6** | `happyhorse-1.1-i2v` | $0.042-0.108 | 300 | ~10s | Fast i2v | |
| 147 | + |
| 148 | +### Video Editing |
| 149 | + |
| 150 | +| Rank | Model | Cost/Second | RPM | Use When | |
| 151 | +|---|---|---|---|---| |
| 152 | +| **Q1** | `wan2.7-videoedit` | $0.10-0.15 | 300 | Local/global editing, video reshaping | |
| 153 | +| **Q2** | `happyhorse-1.0-video-edit` | $0.112-0.192 | 300 | Natural instruction video editing | |
| 154 | +| **Q3** | `wan2.1-vace-plus` | $0.10 | 120 | Unified video editing | |
| 155 | + |
| 156 | +### Video Routing |
| 157 | + |
| 158 | +| Task | Primary | Fallback | |
| 159 | +|---|---|---| |
| 160 | +| Text-to-video (quality) | `wan3.0-video` | `wan2.7-t2v` | |
| 161 | +| Text-to-video (speed) | `happyhorse-1.1-t2v` | `wan2.7-t2v` | |
| 162 | +| Image-to-video | `wan2.7-i2v` | `happyhorse-1.1-i2v` | |
| 163 | +| Reference-to-video | `wan2.7-r2v` | `happyhorse-1.1-r2v` | |
| 164 | +| Video editing | `wan2.7-videoedit` | `happyhorse-1.0-video-edit` | |
| 165 | + |
| 166 | +--- |
| 167 | + |
| 168 | +## §5 — TTS (Text-to-Speech) — Quality Rank |
| 169 | + |
| 170 | +| Rank | Model | Cost/10K chars | RPM | Use When | |
| 171 | +|---|---|---|---|---| |
| 172 | +| **Q1** | `qwen-audio-3.0-realtime-plus` | $0.80/M input, $6.40/M output | — | **BEST** — full-duplex, top global evals, natural prosody | |
| 173 | +| **Q2** | `qwen-audio-3.0-tts-flash` | $0.15/10K chars | 180 | Multilingual TTS, free-style instruction, production workhorse | |
| 174 | +| **Q3** | `cosyvoice-v3-plus` | $0.26/10K chars | 180 | Generative TTS with text understanding | |
| 175 | +| **Q4** | `qwen-audio-3.0-realtime-flash` | $0.45/M input, $4.50/M output | — | Fast realtime, lower quality than plus | |
| 176 | +| **Q5** | `qwen3-tts-flash` | $0.10/10K chars | 180 | Budget TTS | |
| 177 | + |
| 178 | +### TTS Routing |
| 179 | + |
| 180 | +| Task | Primary | Fallback | |
| 181 | +|---|---|---| |
| 182 | +| i-ARIF voice output | `qwen-audio-3.0-realtime-plus` | `qwen-audio-3.0-tts-flash` | |
| 183 | +| Telegram voice reply | `qwen-audio-3.0-tts-flash` | `edge ms-MY-OsmanNeural` (free) | |
| 184 | +| High-fidelity narration | `qwen-audio-3.0-realtime-plus` | `cosyvoice-v3-plus` | |
| 185 | +| Quick read-aloud | `qwen-audio-3.0-tts-flash` | `qwen3-tts-flash` | |
| 186 | +| Voice cloning target | `qwen-audio-3.0-realtime-plus` | — | |
| 187 | + |
| 188 | +--- |
| 189 | + |
| 190 | +## §6 — ASR (Speech-to-Text) — Quality Rank |
| 191 | + |
| 192 | +| Rank | Model | Cost/Second | RPM | Use When | |
| 193 | +|---|---|---|---|---| |
| 194 | +| **Q1** | `qwen-audio-3.0-asr-flash-streaming` | $0.00009 | 1200 | Real-time ASR, live meetings, streaming | |
| 195 | +| **Q2** | `qwen-audio-3.0-asr-flash` | $0.000035 | 600 | Short audio (<5min), high-quality transcription | |
| 196 | +| **Q3** | `qwen-audio-3.0-asr-flash-filetrans` | $0.000035 | 600 | Long audio offline, meetings/calls, batch | |
| 197 | +| **Q4** | `fun-asr-flash` | free | 600 | 7 major Chinese dialects, free | |
| 198 | + |
| 199 | +### ASR Routing |
| 200 | + |
| 201 | +| Task | Primary | Fallback | |
| 202 | +|---|---|---| |
| 203 | +| Live/streaming ASR | `qwen-audio-3.0-asr-flash-streaming` | `qwen-audio-3.0-asr-flash` | |
| 204 | +| Short voice note (<5min) | `qwen-audio-3.0-asr-flash` | `fun-asr-flash` | |
| 205 | +| Long audio/batch | `qwen-audio-3.0-asr-flash-filetrans` | `qwen-audio-3.0-asr-flash` | |
| 206 | +| Chinese dialect audio | `fun-asr-flash` | `qwen-audio-3.0-asr-flash` | |
| 207 | + |
| 208 | +**Note:** ASR models require per-model access enablement in workspace before first invocation. |
| 209 | + |
| 210 | +--- |
| 211 | + |
| 212 | +## §7 — Voice Identity — Quality Rank |
| 213 | + |
| 214 | +| Rank | Model | Cost | RPM | Use When | |
| 215 | +|---|---|---|---|---| |
| 216 | +| **Q1** | `voice-enrollment` | $0.01/voice | 180 | Zero-shot voice cloning from 10-20s sample | |
| 217 | +| **Q2** | `qwen-voice-design` | $0.20/voice | 180 | Design voice from text description | |
| 218 | + |
| 219 | +### Voice Identity Routing |
| 220 | + |
| 221 | +| Task | Primary | Gate | |
| 222 | +|---|---|---| |
| 223 | +| i-ARIF voice clone | `voice-enrollment` | **F13 SOVEREIGN** — never auto-execute | |
| 224 | +| New voice design | `qwen-voice-design` | F13 approval required | |
| 225 | +| Voice clone + TTS pipeline | `voice-enrollment` → `qwen-audio-3.0-realtime-plus` | F13 | |
| 226 | + |
| 227 | +--- |
| 228 | + |
| 229 | +## Free Quota Budget Planner |
| 230 | + |
| 231 | +**Estimated free quota consumption per use case (1M tokens/model):** |
| 232 | + |
| 233 | +| Use Case | Model | Est. Tokens/Use | Uses Before Exhaustion | |
| 234 | +|---|---|---|---| |
| 235 | +| LLM chat turn (complex) | `qwen3.8-max` | ~2K in + 1K out = 3K | ~333 turns | |
| 236 | +| LLM chat turn (simple) | `qwen3.7-flash` | ~500 in + 200 out = 700 | ~1,428 turns | |
| 237 | +| Image understanding | `qwen-vl-max` | ~1K in + 500 out = 1.5K | ~666 analyses | |
| 238 | +| OCR extraction | `qwen-vl-ocr` | ~1K in + 1K out = 2K | ~500 extractions | |
| 239 | +| Image generation | `qwen-image-3.0-pro` | ~4.5K tokens | ~222 images | |
| 240 | +| TTS (1000 chars) | `qwen-audio-3.0-tts-flash` | $0.15/10K chars | ~6,666 pages | |
| 241 | +| ASR (1 min audio) | `qwen-audio-3.0-asr-flash` | 60s × $0.000035 | ~476 minutes | |
| 242 | + |
| 243 | +**Priority allocation for free quota:** |
| 244 | +1. **qwen3.8-max** — highest value, consume first (constitutional work, i-ARIF) |
| 245 | +2. **qwen-vl-max** — vision understanding, second priority |
| 246 | +3. **qwen-image-3.0-pro** — image generation, third |
| 247 | +4. **qwen-audio-3.0-tts-flash** — TTS, moderate use |
| 248 | +5. **qwen-audio-3.0-asr-flash** — ASR, moderate use |
| 249 | +6. **qwen3.7-flash** — high volume, low cost, stretch the quota |
| 250 | + |
| 251 | +--- |
| 252 | + |
| 253 | +## Quick Reference Card (print this) |
| 254 | + |
| 255 | +``` |
| 256 | +┌─────────────────────────────────────────────────────────────┐ |
| 257 | +│ QWEN FREE QUOTA ROUTING — AGENT QUICK REFERENCE │ |
| 258 | +├──────────────────┬──────────────────────────────────────────┤ |
| 259 | +│ TEXT (best) │ qwen3.8-max → FED, JUDGE, SEAL │ |
| 260 | +│ TEXT (mid) │ qwen3.7-plus → FRAME, Hermes │ |
| 261 | +│ TEXT (cheap) │ qwen3.7-flash → FLAME, OpenClaw │ |
| 262 | +│ TEXT (long out) │ deepseek-v4-pro → reports, analysis │ |
| 263 | +├──────────────────┼──────────────────────────────────────────┤ |
| 264 | +│ VISION (best) │ qwen-vl-max → complex analysis │ |
| 265 | +│ VISION (omni) │ qwen3.5-omni-plus → image+audio+video │ |
| 266 | +│ OCR │ qwen-vl-ocr → documents, tables │ |
| 267 | +│ VISION (fast) │ qwen3-vl-flash → classification │ |
| 268 | +├──────────────────┼──────────────────────────────────────────┤ |
| 269 | +│ IMAGE GEN (best) │ qwen-image-3.0-pro → dense layouts │ |
| 270 | +│ IMAGE GEN (photo)│ qwen-image-max → photorealistic │ |
| 271 | +│ IMAGE GEN (fast) │ z-image-turbo → 8-step, 120 RPM │ |
| 272 | +│ IMAGE EDIT │ qwen-image-edit-max → LoRA, flagship │ |
| 273 | +├──────────────────┼──────────────────────────────────────────┤ |
| 274 | +│ VIDEO (best) │ wan3.0-video → dynamic transitions │ |
| 275 | +│ VIDEO (fast) │ happyhorse-1.1-t2v → 300 RPM │ |
| 276 | +│ VIDEO (i2v) │ wan2.7-i2v → subject preservation │ |
| 277 | +│ VIDEO EDIT │ wan2.7-videoedit → local/global edit │ |
| 278 | +├──────────────────┼──────────────────────────────────────────┤ |
| 279 | +│ TTS (best) │ qwen-audio-3.0-realtime-plus → natural │ |
| 280 | +│ TTS (workhorse) │ qwen-audio-3.0-tts-flash → multilingual│ |
| 281 | +│ TTS (free) │ edge ms-MY-OsmanNeural → Telegram │ |
| 282 | +├──────────────────┼──────────────────────────────────────────┤ |
| 283 | +│ ASR (live) │ qwen-audio-3.0-asr-flash-streaming │ |
| 284 | +│ ASR (short) │ qwen-audio-3.0-asr-flash │ |
| 285 | +│ ASR (long) │ qwen-audio-3.0-asr-flash-filetrans │ |
| 286 | +├──────────────────┼──────────────────────────────────────────┤ |
| 287 | +│ VOICE CLONE │ voice-enrollment (F13 SOVEREIGN gate) │ |
| 288 | +│ VOICE DESIGN │ qwen-voice-design (F13 gate) │ |
| 289 | +└──────────────────┴──────────────────────────────────────────┘ |
| 290 | +``` |
| 291 | + |
| 292 | +--- |
| 293 | + |
| 294 | +## Constitutional Gates |
| 295 | + |
| 296 | +| Modality | Gate | Rule | |
| 297 | +|---|---|---| |
| 298 | +| Text (constitutional) | 666 JUDGE | `qwen3.8-max` only — no downgrade | |
| 299 | +| Text (seal) | 999 SEAL | `qwen3.8-max` only — irreversible | |
| 300 | +| Voice clone creation | F13 SOVEREIGN | Manual approval required | |
| 301 | +| Video generation (public) | F13 | Review before publish | |
| 302 | +| Image generation (public) | F2 TRUTH | No fabrication, no deepfake | |
| 303 | + |
| 304 | +--- |
| 305 | + |
| 306 | +*Forged: 2026-08-20 · F13 directive: "optimize it for the FED FLAME FRAME, rank by output quality"* |
| 307 | +*Source pricing: Qwen Cloud pricing page (2026-08-20)* |
| 308 | +*DITEMPA BUKAN DIBERI* |
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