Qwen 3 Max Thinking
vercel/qwen3-max-thinkingVon vercel · Familie: qwen · veröffentlicht 2025-01 · Wissensstand: 2025-01
⚠ Dies ist ein Community-Finetune oder Derivat — keine offizielle Anbieter-Veröffentlichung.
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Fähigkeiten
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.
Coding59
- Tool calling40/40
- Structured output0/20
- Reasoning10/10
- Context window (100K → 1M)8/20
- Provider availability1/10
Agents66
- Tool calling35/35
- Structured output0/25
- Reasoning15/15
- Output token limit15/15
- Provider availability1/10
JSON / structured output36
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume6/20
Cost efficiency46
- Headline price (log-scaled)41/95
- Has prompt-cache pricing5/5
Long context60
- Context window (100K → 2M)50/90
- Has published price for full window10/10
Production-readiness50
- Number of independent providers5/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers10/10
- Official model (not derivative)0/15
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 | $9.00 < $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 | $18.00 < $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 | $5.40 < $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 | $15.60 $0.02 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $18.00 $0.02 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Preis-Details
Empfohlene Preise von vercel · alibaba/qwen3-max-thinking
Bei 1 Anbietern verfügbar
| Anbieter | Anbieter-Modell-ID | Eingabe / 1M | Ausgabe / 1M | Kontext | Veröffentlicht |
|---|---|---|---|---|---|
| Vercel AI Gateway vercel | alibaba/qwen3-max-thinking | $1.20 | $6.00 | 256K | 2025-01 |
Frequently asked questions
How much does Qwen 3 Max Thinking cost?
Qwen 3 Max Thinking costs $1.20 per 1M input tokens and $6.00 per 1M output tokens, sourced from vercel. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of Qwen 3 Max Thinking?
Qwen 3 Max Thinking has a context window of 256K tokens, with a max output of 66K tokens per reply. This is the total combined size of prompt + completion.
Does Qwen 3 Max Thinking support tool calling?
Yes. Qwen 3 Max Thinking supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Does Qwen 3 Max Thinking support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for Qwen 3 Max Thinking in our data source. Verify with vercel's official documentation before relying on it in production.
Can Qwen 3 Max Thinking accept image input?
No. Qwen 3 Max Thinking only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is Qwen 3 Max Thinking open-weight?
Yes. Qwen 3 Max Thinking's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.
What are the best alternatives to Qwen 3 Max Thinking?
If Qwen 3 Max Thinking doesn't fit, consider Trinity Mini, Trinity Large Thinking, Trinity Large Preview. 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 vercel models
- Trinity Mini$0.05 in / $0.15 out
- Trinity Large Thinking$0.25 in / $0.90 out
- Trinity Large Preview$0.25 in / $1.00 out
- INTELLECT 3$0.20 in / $1.10 out
- Titan Text Embeddings V2$0.02 in / $0.00 out
Capability lists this model is in
Zuletzt aktualisiert:
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.