Detailed model recommendation tables. SKILL.md keeps only the canonical Default table; this file
provides the in-depth selection logic for cross-skill resolution and per-domain comparison.
Reminder: For latest model availability and pricing, always prefer CLI (qianwen models list/info/search).
See cli-usage.md for when CLI is required vs. when these snapshot tables are acceptable.
When an execution skill needs to choose a model without user interaction, evaluate across three dimensions: Requirement → Scenario → Pricing. If the user explicitly specified a model, use it as given — but still verify availability via CLI; if restricted, warn the user and suggest an alternative.
Match task capability to the right model. Use when the user's need points to a specialized model, or when the task is ambiguous and you need to compare capabilities.
| Signal | Keywords | Model | |--------------------------------|---------------------------------------------------|--------------------------------------------------------------| | Reasoning | "think step by step", "reason", "analyze" | qwq-plus (text) · qvq-max (vision) | | Coding | "write code", "implement", "debug" | qwen3-coder-plus | | OCR / document | "extract text", "OCR", "scan" | qwen-vl-ocr | | Long context | "long document", "large file" | qwen3.6-plus (1M context) | | Multimodal (text+image+video) | "analyze image", "understand video" + text | qwen3.6-plus (unified multimodal) | | Voice interaction / omni | "voice chat", "speak", "listen" | qwen3-omni-flash | | Built-in tools | "search the web", "run code", "use tools" | qwen3-max (web search, code interpreter) | | Image editing / style transfer | "edit image", "style transfer", "reference image" | wan2.6-image (preferred) · wan2.5-i2i-preview | | Image-to-image fusion | "place object", "combine images", "fuse images" | wan2.6-image · wan2.5-i2i-preview | | Open-source / lowest cost T2I | "open-source", "free model", "z-image" | z-image-turbo | | Video editing | "edit video", "modify video", "video repaint" | wan2.7-videoedit · happyhorse-1.0-video-edit | | Style TTS | "emotion", "tone", "pace" | qwen3-tts-instruct-flash | | Ambiguous | task doesn't clearly map to one model | compare Recommendation Matrix; ask user to clarify if needed |
Adjust model tier based on how the model will be used.
| Pattern | Signals | Guidance |
|-------------------------|-----------------------------------------|-------------------------------------------------------------------------|
| Interactive / real-time | "chat", "real-time", "interactive" | Prefer flash/turbo variants; enable streaming |
| Batch / offline | "batch", "offline", "background" | Quality model + Batch API (50% off) |
| One-off trial | "try", "test", "experiment" | Quality model; use qianwen usage free-tier to check remaining quota |
| High-volume production | "production", "at scale", "high volume" | Cost-optimize: flash/turbo + context cache |
| Repeated context | "template", "same prompt", "repeated" | Enable context caching for input token discount |
Given the candidates from dimensions 1–2, compare costs and apply modifiers.
- Latest pricing: When precise figures are needed, run qianwen models info —
it returns structured pricing tiers (input/output per 1M tokens, tiered breakpoints). Snapshot
(pricing.md) is for structural overview only.
qianwen usage free-tier --format json to check remaining quota.
| Use Case | Recommended | Why | |-------------------------|------------------|----------------------------------------------------------------------| | Best overall | qwen3.6-plus | Latest flagship. Multimodal. 1M context. Thinking on by default. | | Strongest reasoning | qwen3-max | Built-in tools (web search, code interpreter). Hybrid thinking. | | Pure CoT reasoning | qwq-plus | Always-on chain-of-thought, math/code specialist | | Fast / interactive | qwen3.5-flash | Fastest in Qwen3.5 series | | Cheapest | qwen-turbo | Lowest per-token cost | | Coding | qwen3-coder-plus | Best code model, 1M context | | Coding (balanced) | qwen3-coder-next | Top recommendation, balances quality/speed/cost, agentic + tools | | Role-play (general) | qwen-plus-character | Character restoration, empathetic dialog | | Role-play (Japanese) | qwen-plus-character-ja | Japanese role-playing |
| Use Case | Recommended | Why | |--------------------------------|----------------|--------------------------------------------------------------------------------------------------------------------------------| | Best accuracy | qwen3.6-plus | Latest flagship. Multimodal (text + image + video). Surpasses qwen3-vl series on many benchmarks. Thinking on by default. | | High-precision localization | qwen3-vl-plus | Highest vision understanding for object localization (2D/3D), document/webpage parsing. Thinking mode. 256K context. | | Fast analysis | qwen3-vl-flash | Quick image understanding. Thinking mode supported. | | Visual reasoning (math/charts) | qvq-max | Always-on CoT for visual reasoning | | OCR specialist | qwen-vl-ocr | Document/scan text extraction, max 30K tokens/image | | Unified text+vision | qwen3.6-plus | Best when both text quality and vision matter. 1M context. |
| Use Case | Recommended | Why |
|-------------------------------------------|--------------------|------------------------------------------------------------------|
| Highest quality (4K) | wan2.7-image-pro | Up to 4K, multi-function, thinking mode |
| Multi-function (2K) | wan2.7-image | Faster variant of pro, 2K max |
| Quality text-to-image | wan2.6-t2i | Best in wan2.6 series |
| Image editing (refs required) | wan2.6-image | Style transfer, subject consistency (1–4 refs), interleave 2K |
| Image-to-image fusion | wan2.5-i2i-preview | Multi-image fusion (1–3 refs), async-only |
| Interleaved text-image output (tutorials) | wan2.6-image | Mixed text+image generation |
| Fast iteration | wan2.2-t2i-flash | 50% faster generation |
| Flexible resolution | wan2.5-t2i-preview | Custom aspect ratios |
| Open-source SOTA T2I | z-image-turbo | Open-source; sync-only; no n / no refs; lightweight payload |
| Use Case | Recommended | Why |
|----------------------------------|----------------------------|----------------------------------------------------------------|
| Latest (with audio) | wan2.7-t2v / i2v | 720P/1080P, auto-dubbing |
| Quick video creation | wan2.6-i2v-flash | Fast, multi-shot narrative |
| High quality | wan2.6-i2v | Best visual quality |
| With audio (legacy) | wan2.5-i2v-preview | Auto-dubbing support |
| First+last frame | wan2.2-kf2v-flash | 5s, silent |
| Video editing (legacy VACE) | wan2.1-vace-plus | Repainting, extension |
| Video editing (Wan) | wan2.7-videoedit | New videoedit mode, media[] protocol, no function field |
| Video editing (HappyHorse) | happyhorse-1.0-video-edit | HappyHorse video editing, same media[] protocol |
| Text-to-video (HappyHorse) | happyhorse-1.0-t2v | Uses resolution + ratio parameters |
| Image-to-video (HappyHorse) | happyhorse-1.0-i2v | HappyHorse i2v, resolution + ratio |
| Reference-to-video (HappyHorse) | happyhorse-1.0-r2v | Up to 9 reference images via media[] |
| Use Case | Recommended | Why |
|-----------------------|----------------------------|---------------------------------------------------------------|
| Highest quality | cosyvoice-v3-plus | Best naturalness, emotional expression, professional scenarios|
| High quality + speed | cosyvoice-v3-flash | Good balance of quality and performance |
| Standard TTS | qwen3-tts-flash | Fast, reliable, multi-language, cost-effective |
| Controlled style | qwen3-tts-instruct-flash | Instruction-guided voice style (tone/emotion) |
| ASR (real-time) | qwen3-asr-flash | Real-time speech recognition |
| Use Case | Recommended | Why | |---------------------|---------------------------|---------------------------------------------------------------------------------------| | Voice + vision chat | qwen3-omni-flash | Text/image/audio/video → text or speech. 49 voices, 10 languages. Thinking supported. | | Real-time voice | qwen3-omni-flash-realtime | Streaming audio input + built-in VAD. 49 voices. |
Users with a Token Plan 团队版 subscription
(sk-sp- key, endpoint https://token-plan.cn-beijing.maas.aliyuncs.com) have access to a fixed
set of models through interactive AI tools only (Cursor, Claude Code, Qwen Code, OpenClaw, OpenCode,
Codex, Kilo Code/CLI, Hermes Agent). The Token Plan key cannot be used in scripts, application
backends, or batch jobs — violations may trigger subscription suspension.
| Model | Context | Thinking | OpenAI-compat | Anthropic-compat | Notes |
|-----------------|--------:|------------------|:-------------:|:----------------:|------------------------------------------------------------|
| qwen3.6-plus | 1M | Yes (default on) | ✅ | ✅ | Flagship; multimodal text+image input; built-in Responses API tools (web search, code interpreter, web fetch, image search) |
| glm-5 | 198K | Yes (thinkingFormat: qwen) | ✅ | ✅ | Max output 16,384 |
| MiniMax-M2.5 | 192K | Yes | ✅ | ✅ | budgetTokens + output ≤ 32,768 |
| deepseek-v3.2 | 128K | Yes (thinkingFormat: qwen) | ✅ | ❌ OpenAI only | Not available via Anthropic-compatible endpoint |
[!IMPORTANT]
Token Plan image models are not invoked through the standard text Base URL. They use a
dedicated multimodal-generation endpoint and must be wired up via each tool's Skill / Slash Command /
Agent mechanism.
Endpoint: POST https://token-plan.cn-beijing.maas.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation| Model | Notes |
|----------------------|--------------------------------------------------------------------|
| qwen-image-2.0 | Default; general-purpose; strong Chinese text rendering |
| qwen-image-2.0-pro | Higher quality, slightly slower |
| wan2.7-image | Multi-style; returns 4 images by default |
| wan2.7-image-pro | Supports 4K; additional sizes 2048×2048, 1440×2560, 2560×1440 |
Available sizes: 10241024 (default), 7201280, 1280*720. wan2.7-image-pro adds 4K options above.
| Protocol | Base URL |
|--------------------|-----------------------------------------------------------------------|
| OpenAI-compatible | https://token-plan.cn-beijing.maas.aliyuncs.com/compatible-mode/v1 |
| Anthropic-compatible | https://token-plan.cn-beijing.maas.aliyuncs.com/apps/anthropic |
| Image generation | https://token-plan.cn-beijing.maas.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation |
Token Plan 团队版 does not include video generation, TTS, ASR, embeddings, rerank, translation, or
specialized vision models (qwen3-vl-*, qwen-vl-ocr, qvq-max). Users needing those must fall back to a
standard pay-as-you-go sk- key.
When recommending models, note if the user's chosen model falls outside the lists above and they are
using a Token Plan key (sk-sp-...). Suggest the closest available alternative or recommend obtaining
a standard sk- key.
If qianwen-ops-auth is installed, see its references/tokenplan.md for endpoint mapping, Credits
billing details, and full error code reference.
- Unit: Credits (not per-token CNY).
qianwen CLI does not yet support sk-sp- Token Plan keys.Several models support hybrid thinking/non-thinking modes:
| Model | Thinking Default | Notes |
|-------------------------------------|------------------|-----------------------------------------------------------------------------------------------|
| qwen3.6-plus | On | Latest flagship. Thinking enabled by default. Use enable_thinking: false to disable. |
| qwen3.5-plus | On | Thinking enabled by default. Use enable_thinking: false to disable. |
| qwen3.5-flash | On | Thinking enabled by default. |
| qwen3-max | Off | Use enable_thinking: true for complex reasoning. Built-in tools available in thinking mode. |
| qwen-plus / qwen-flash / qwen-turbo | Off | Hybrid; enable for deeper reasoning at higher output cost. |
| qwen3-vl-plus / qwen3-vl-flash | Off | Vision + thinking for complex visual analysis. |
| qwen3-omni-flash | Off | Thinking supported; audio output not available in thinking mode. |
| qwq-plus / qvq-max | Always on | Pure reasoning models; CoT always active. |
Guidance: Do not enable thinking by default for simple or conversational tasks — it increases latency and output token cost. Enable only when the user explicitly asks for deep reasoning or the task requires multi-step analysis.
⚠️ Snapshot warning: This list is point-in-time and may be outdated. Prefer
qianwen models list --all --format json for the up-to-date catalog. See model-list.mdfor the structured offline reference.
- Text (commercial): qwen3.6-max-preview, qwen3.6-plus, qwen3.6-flash, qwen3-max, qwen3.5-plus, qwen3.5-flash, qwen-turbo, qwq-plus, qwen3-coder-next/plus/flash, qwen-plus-character, qwen-plus-character-ja, qwen-flash-character