Qwen Models

118 modelsGeneral models from $0.1028/M inputUp to 1M context

Usage

Last 8 days · 2026-08-20 to 2026-09-11

Tokens

1M

Requests

61

Models in use

16 of 118

Tokens per day, stacked by model

0423K845K08-2009-112026-08-20 — 0 tokens2026-08-26 — 845,000 tokens wan3.0-video: 845,0002026-08-27 — 1,345 tokens qwen3-235b-a22b-thinking-2507: 1,245 qwen3-max: 1002026-08-29 — 0 tokens2026-08-30 — 0 tokens2026-09-08 — 62,685 tokens qwen3-235b-a22b-thinking-2507: 62,6852026-09-10 — 99,145 tokens qwen3-235b-a22b-thinking-2507: 97,540 qwen3-max-preview: 635 qwen3-coder-flash: 500 qwen3-coder-480b-a35b-instruct: 180 2 more models: 100 qwen3-coder-30b-a3b-instruct: 90 qwen3-max: 50 qwen-plus-latest: 502026-09-11 — 24,760 tokens qwen3-max: 24,615 qwen3-max-preview: 145
  • wan3.0-video
  • qwen3-235b-a22b-thinking-2507
  • qwen3-max
  • qwen3-max-preview
  • qwen3-coder-flash
  • qwen3-coder-480b-a35b-instruct
  • qwen3-coder-30b-a3b-instruct
  • qwen-plus-latest
  • 2 more models

Which models that traffic went to

  1. Wan3.0 Video81.8%845K
  2. Qwen3 235B A22B Thinking 250715.6%161K
  3. Qwen3 Max2.4%24.8K
  4. Qwen3 Max Preview0.1%780
  5. Qwen3 Coder Flash<0.1%500
  6. Qwen3 Coder 480B A35B Instruct<0.1%180
  7. Qwen3 Coder 30B A3B Instruct<0.1%90
  8. Qwen Plus<0.1%50
  9. 2 more models<0.1%100

Share of 1M tokens. 6 models with traffic report no token counts and cannot be ranked here, including wan3.0-video-prime and qwen-image — they are in the request view.

The two views disagree on purpose: a model can take a large share of the calls and a small share of the tokens — many short requests — or the reverse. Which one matters depends on whether your cost is driven by call volume or by prompt length. Measured on AIHubMix over the last 8 days, counting the 118 model IDs listed on this page; traffic routed through upstream-specific IDs that are not in the public catalog is not included.

All 118 Qwen Models

Open in model list
Qwen models on AIHubMix with input and output modalities, context length, maximum output, price per million tokens including cache read and cache write rates, and measured throughput and latency.
Modalities
qwen3.6-plus-previewTakes text, returns text.1M66KFreeFree/M
qwen3.6-plus-preview-freeTakes text, returns text.1M66KFreeFree/M
qwen3.7-plusTakes text, vision, video. Output modality not published.1M131K$0.1096$0.6576/M$0.0219/M$0.137/M
qwen-turboTakes text, returns text.1M$0.36$1.08/M
qwen-turbo-2024-11-01Takes text, returns text.1M$0.36$1.08/M
qwen3-vl-plusTakes text, vision, video, returns text.262K33K$0.137$1.37/M$0.0274/M67 tok/s2.32 s
qwen3.5-397b-a17bTakes text, vision, video. Output modality not published.262K66K$0.1644$0.9864/M
qwen3-maxTakes text, returns text.262K66K$0.822$3.288/M36 tok/s2.41 s
qwen3-coder-480b-a35b-instructTakes text, returns text.262K$0.82$3.28/M1655 tok/s0.92 s
qwen3-coder-30b-a3b-instructTakes text, returns text.200K$0.2$0.8/M115 tok/s0.95 s
qwen3-vl-30b-a3b-instructTakes text, vision, video, returns text.131K33K$0.1028$0.4112/M42 tok/s1.07 s
qwen3-vl-30b-a3b-thinkingTakes text, vision, video, returns text.131K33K$0.1028$1.028/M42 tok/s1.49 s
qwen3-vl-235b-a22b-instructTakes text, vision, video. Output modality not published.131K33K$0.274$2.74/M57 tok/s1.13 s
qwen3-vl-235b-a22b-thinkingTakes text, vision, video. Output modality not published.131K33K$0.274$2.74/M58 tok/s2.22 s
qwen3-coder-flashTakes text, returns text.128K$0.136$0.544/M110 tok/s1.85 s
Qwen/Qwen2.5-VL-72B-InstructTakes text, vision, video, returns text.128K$0.5$0.5/M
qwen3-coder-plusTakes text, returns text.128K$0.54$2.16/M$0.108/M83 tok/s1.63 s
qwen3-coder-plus-2025-07-22Takes text, returns text.128K$0.54$2.16/M83 tok/s1.63 s
qwen-flash$0.02$0.2/M
qwen-flash-2025-07-28$0.02$0.2/M
alicloud-qwen3.5-flash$0.0282$0.282/M$0.0028/M$0.0352/M
qwen-turbo-2025-04-28Takes , returns text.$0.046$0.92/M
qwen-turbo-latestTakes , returns text.$0.046$0.92/M
qwen3-0.6bTakes , returns text.$0.046$0.46/M
qwen3-1.7bTakes , returns text.$0.046$0.46/M
qwen3-4bTakes , returns text.$0.046$0.46/M
alicloud-qwen3.5-35b-a3b$0.0564$0.4512/M
bce-reranker-baseTakes text, vision. Output modality not published.$0.068$0.068/M
qwen3-embedding-0.6bTakes text. Output modality not published.$0.068$0.068/M
qwen3-embedding-4bTakes text. Output modality not published.$0.068$0.068/M
qwen3-embedding-8bTakes text. Output modality not published.$0.068$0.068/M
Qwen/Qwen2-7B-Instruct$0.08$0.08/M
qwen3-8bTakes , returns text.$0.08$0.8/M
text-embedding-v4Takes text. Output modality not published.$0.08$0.08/M
alicloud-qwen3.5-27b$0.0846$0.6768/M
qwen-long$0.1$0.4/M
qwen3-30b-a3b-instruct-2507$0.1028$0.4112/M
alicloud-qwen3.5-plus$0.1096$0.6576/M$0.011/M$0.137/M
baidu-qwen3-reranker-0.6bTakes text, vision. Output modality not published.$0.11$0.11/M
gte-rerank-v2Takes text, vision. Output modality not published.$0.11$0.11/M
qwen-mt-turbo$0.11$0.3058/M
qwen-plus-2025-07-28$0.11$0.275/M
qwen-plus-latestTakes , returns text.$0.11$0.275/M
qwen3-reranker-0.6bTakes text, vision. Output modality not published.$0.11$0.11/M
qwen3-reranker-4bTakes text, vision. Output modality not published.$0.11$0.11/M
qwen3-reranker-8bTakes text, vision. Output modality not published.$0.11$0.11/M
alicloud-qwen3.5-122b-a10b$0.1126$0.9008/M
qwen3-30b-a3b$0.12$1.2/M
qwen-plus-2025-04-28Takes , returns text.$0.13$2.6/M
alicloud-qwen3-coder-next$0.137$0.548/M
gme-qwen2-vl-2b-instructTakes text, vision, video. Output modality not published.$0.138$0.138/M
Qwen/QwQ-32BTakes , returns text.$0.14$0.56/M
Qwen/Qwen2.5-Coder-32B-Instruct$0.16$0.16/M
Qwen/QwQ-32B-Preview$0.16$0.16/M
qwen3-14bTakes , returns text.$0.16$1.6/M
alicloud-qwen3.5-397b-a17b$0.1644$0.9864/M
sophnet-qwen3.5-397b-a17b$0.1644$0.9864/M
Qwen/Qwen2-1.5B-Instruct$0.2$0.2/M
Qwen/Qwen3-8B$0.2$0.2/M
qwen2.5-coder-1.5b-instruct$0.2$0.4/M
qwen2.5-coder-7b-instruct$0.2$0.4/M
qwen2.5-math-1.5b-instruct$0.2$0.2/M
qwen2.5-math-7b-instruct$0.2$0.4/M
Qwen/Qwen2-57B-A14B-Instruct$0.24$0.24/M
Qwen/Qwen2.5-VL-32B-InstructTakes text, vision, video, returns text.$0.24$0.24/M
alicloud-qwen3-235b-a22b-thinking-2507Takes text, vision, returns text.$0.28$2.8/M
qwen-3-235b-a22b-instruct-2507$0.28$1.4/M
qwen-3-235b-a22b-thinking-2507$0.28$2.8/M
qwen-mt-plus$0.28$0.84/M
Qwen2-VL-7B-InstructTakes text, vision, video. Output modality not published.$0.28$0.7/M
qwen3-235b-a22b$0.28$1.12/M46 tok/s0.63 s
qwen3-235b-a22b-instruct-2507Takes text, vision, returns text.$0.28$2.8/M96 tok/s1.54 s
qwen3-235b-a22b-thinking-2507Takes text, vision, returns text.$0.28$2.8/M87 tok/s0.27 s
QwQ-32B$0.28$0.84/M
qwen3-32bTakes , returns text.$0.32$3.2/M
alicloud-qwen3-max-2026-01-23$0.3425$1.3698/M
qwen-max$0.38$1.52/M
qwen-max-0125$0.38$1.52/M
qwen-3-32b$0.4$1.6/M
qwen-qwq-32b$0.4$0.8/M
Qwen/Qwen2.5-7B-Instruct$0.4$0.4/M
Qwen/Qwen3-32B$0.4$0.8/M
qwen2.5-14b-instruct$0.4$1.2/M
qwen2.5-3b-instruct$0.4$0.8/M
qwen2.5-7b-instruct$0.4$0.8/M
Qwen/Qwen3-14B$0.5$0.5/M
Qwen/Qwen2.5-32B-Instruct$0.6$0.6/M
qwen2.5-32b-instruct$0.6$1.2/M
Qwen2.5-VL-72B-InstructTakes text, vision, video. Output modality not published.$0.62$0.62/M
qwen-plus$0.7$2.1/M
Qwen/Qwen2-72B-Instruct$0.8$0.8/M
Qwen/Qwen2.5-72B-Instruct$0.8$0.8/M
Qwen/Qwen2.5-72B-Instruct-128K$0.8$0.8/M
qwen2.5-72b-instruct$0.8$2.4/M
qwen2.5-math-72b-instruct$0.8$2.4/M
qwen3-max-previewTakes text, vision, returns text.$0.822$3.288/M
Qwen/Qwen3-30B-A3B$1$1/M
Qwen/QVQ-72B-Preview$1.2$1.2/M
happyhorse-1.0-i2vTakes text, vision. Output modality not published.$2$2/M
happyhorse-1.0-r2vTakes text, vision. Output modality not published.$2$2/M
happyhorse-1.0-t2vTakes text. Output modality not published.$2$2/M
happyhorse-1.0-video-editTakes text, vision, video. Output modality not published.$2$2/M
qwen-imageTakes text, vision, returns vision.$2$2/M
qwen-image-editTakes text, vision, returns vision.$2$2/M
qwen-image-plusTakes text, vision, returns vision.$2$2/M
sf-qwen3.5-4b$2$2/M
wan2.6-i2v$2$2/M
wan2.6-i2v-flash$2$2/M
wan2.6-t2v$2$2/M
wan2.7-i2vTakes text, vision, audio. Output modality not published.$2$2/M
wan2.7-r2vTakes text, vision, audio, video. Output modality not published.$2$2/M
wan2.7-t2vTakes text, audio. Output modality not published.$2$2/M
wan2.7-videoeditTakes text, vision, video. Output modality not published.$2$2/M
wan3.0-videoTakes text, vision, audio, video, returns video.$2$2/M
wan3.0-video-primeTakes text, vision, audio, video, returns video.$2$2/M
Qwen2-VL-72B-InstructTakes text, vision, video. Output modality not published.$2.18$6.54/M
qwen-max-longcontext$7$21/M
qwen3-reranker-8b-proTakes text, vision. Output modality not published.$11$11/M

Prices are USD per million tokens; cache read and cache write are the rates for prompt-cache hits and for writing a prompt into the cache. Throughput and latency are measured on AIHubMix — the same figures the model detail page shows — not vendor claims. A dash means the catalog does not publish that field for that model, which is not the same as the model not supporting it.

Qwen on AIHubMix

Which Qwen model should I start with?

qwen3-vl-30b-a3b-instruct at $0.1028/M input — the cheapest entry here that declares tool calling, and it carries a 131K context. Move up to qwen3-reranker-8b-pro when answer quality matters more than cost, or to qwen3.6-plus-preview for long-form reasoning.

Which of these models reason before answering?

6 of the 118 models here declare a reasoning phase — they work through the problem before producing an answer, which helps on multi-step problems at the cost of extra output tokens. Use the Reasoning filter above the table to see them. The catalog does not record anything further about how they differ, so this page does not sort them into families.

Why are there several entries for the same model?

Because each row is a route you can call, not a model release. Some IDs name an upstream (azure-, alicloud-, cc-), some are the open-weight repository form (Qwen/…), and some differ only in capitalisation, kept so older integrations keep working.

The catalog does not carry a field saying which of those a given row is, so this page does not sort them into buckets it would have to invent. Every row shows that route’s own price, context and speed — compare those directly, and open a model to see the upstreams that serve it.

How is cached input billed?

The Cache read column is the rate for input tokens served from the prompt cache — for example alicloud-qwen3.5-plus bills cache hits at 10% of the input rate and qwen3.7-plus bills cache hits at 10% of the input rate. Cache write is the surcharge for putting a prompt into the cache in the first place, and only a few upstreams bill it separately. A dash in either column means the catalog carries no cache rate for that model, so plan on paying the full input rate.

Do I need a separate Qwen account?

No. One AIHubMix key covers every model on this page, and switching between them is a change to the model string — billing, rate limits, and logs stay in one place.

Start calling Qwen in one line

One key, one endpoint, 750 models across 29 model authors.