Qwen3 VL 235B A22B Thinking
alibaba/qwen3-vl-235b-a22b-thinking出品方： Alibaba (Qwen) · 系列: qwen · 發布 2025-10-04
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
能力清單
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding16
- Tool calling0/40
- Structured output0/20
- Reasoning10/10
- Context window (100K → 1M)0/20
- Provider availability6/10
Agents36
- Tool calling0/35
- Structured output0/25
- Reasoning15/15
- Output token limit15/15
- Provider availability6/10
JSON / structured output14
- Structured output / JSON mode0/50
- Tool calling0/20
- Temperature control0/10
- Price-friendly for high-volume14/20
Cost efficiency51
- Headline price (log-scaled)51/95
- Has prompt-cache pricing0/5
Long context0
- Context ≥ 100K0/100
Vision74
- Accepts image input50/50
- Context window (10K → 1M)8/30
- Has published price10/10
- Provider availability6/10
Production-readiness84
- Number of independent providers30/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers4/10
- Official model (not derivative)15/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $2.60 < $0.01 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $5.20 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $1.82 < $0.01 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $4.68 < $0.01 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $4.68 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
定價詳情
推薦定價來自 kilo · qwen/qwen3-vl-235b-a22b-thinking
於 6 家供應商可用
| 服務商 | 服務商模型 ID | 輸入 / 1M | 輸出 / 1M | 上下文 | 發布日期 |
|---|---|---|---|---|---|
| NanoGPT nano-gpt | qwen3-vl-235b-a22b-thinking | $0.500 | $6.00 | 33K | 2025-08-26 |
| SiliconFlow (China) siliconflow-cn | Qwen/Qwen3-VL-235B-A22B-Thinking | $0.450 | $3.50 | 262K | 2025-10-04 |
| NovitaAI novita-ai | qwen/qwen3-vl-235b-a22b-thinking | $0.980 | $3.95 | 131K | 2025-09-24 |
| Kilo Gateway kilo | qwen/qwen3-vl-235b-a22b-thinking | $0.260 | $2.60 | 131K | 2025-09-24 |
| SiliconFlow siliconflow | Qwen/Qwen3-VL-235B-A22B-Thinking | $0.450 | $3.50 | 262K | 2025-10-04 |
| LLM Gateway llmgateway | qwen3-vl-235b-a22b-thinking | $0.800 | $2.40 | 131K | 2025-09-15 |
各渠道資料存在不一致
- context_window varies: 131072, 262000, 32768
- release_date varies (span 39d): 2025-08-26, 2025-09-15, 2025-09-24, 2025-10-04
- modalities varies across offerings
各服務商對此模型的回報值不一致。上方「核心數據」採用代表性服務商的值；逐項請以下表為準。
Frequently asked questions
How much does Qwen3 VL 235B A22B Thinking cost?
Qwen3 VL 235B A22B Thinking costs $0.260 per 1M input tokens and $2.60 per 1M output tokens, sourced from kilo. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of Qwen3 VL 235B A22B Thinking?
Qwen3 VL 235B A22B Thinking has a context window of 33K tokens, with a max output of 33K tokens per reply. This is the total combined size of prompt + completion.
Does Qwen3 VL 235B A22B Thinking support tool calling?
No. Qwen3 VL 235B A22B Thinking does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.
Does Qwen3 VL 235B A22B Thinking support structured output / JSON mode?
No. Qwen3 VL 235B A22B Thinking does not support structured output / JSON-schema-constrained decoding. If your workflow requires it, look at the /capabilities/structured-output list for alternatives.
Can Qwen3 VL 235B A22B Thinking accept image input?
Yes. Qwen3 VL 235B A22B Thinking accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check Alibaba (Qwen)'s docs for the exact rule.
Is Qwen3 VL 235B A22B Thinking open-weight?
No. Qwen3 VL 235B A22B Thinking is a proprietary model — only Alibaba (Qwen) (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.
What are the best alternatives to Qwen3 VL 235B A22B Thinking?
If Qwen3 VL 235B A22B Thinking doesn't fit, consider Qwen3.5 397B-A17B, Qwen3 32B, Qwen3 235B A22B Instruct 2507. Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
More Alibaba (Qwen) models
- Qwen3.5 397B-A17B$0.60 in / $3.60 out
- Qwen3 32B$0.70 in / $2.80 out
- Qwen3 235B A22B Instruct 2507$0.10 in / $0.10 out
- Qwen3-Coder 480B-A35B Instruct$1.50 in / $7.50 out
- Qwen3-235B-A22B-Thinking-2507$0.10 in / $0.10 out
Capability lists this model is in
最近更新：
Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.