Qwen3-Next 80B-A3B (Thinking)
alibaba/qwen3-next-80b-a3b-thinking제공: Alibaba (Qwen) · 패밀리: qwen · 출시 2025-09-11 · 지식 컷오프: 2025-04
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
기능
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.
Coding62
- Tool calling40/40
- Structured output0/20
- Reasoning10/10
- Context window (100K → 1M)2/20
- Provider availability10/10
Agents75
- Tool calling35/35
- Structured output0/25
- Reasoning15/15
- Output token limit15/15
- Provider availability10/10
JSON / structured output37
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume7/20
Cost efficiency42
- Headline price (log-scaled)42/95
- Has prompt-cache pricing0/5
Long context46
- Context window (100K → 2M)36/90
- Has published price for full window10/10
Production-readiness96
- Number of independent providers40/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers6/10
- 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 | $5.50 < $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 | $11.00 < $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 | $4.00 < $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 | $10.00 $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 | $9.60 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
가격 상세
추천 가격 제공자: alibaba · qwen3-next-80b-a3b-thinking
가장 저렴한 제공자: nvidia · Unknown 입력 + Unknown 출력
15곳 제공사에서 이용 가능
| 제공자 | 제공자 모델 ID | 입력 / 1M | 출력 / 1M | 컨텍스트 | 출시일 |
|---|---|---|---|---|---|
| Alibaba alibaba | qwen3-next-80b-a3b-thinking | $0.500 | $6.00 | 131K | 2025-09 |
| Alibaba (China) alibaba-cn | qwen3-next-80b-a3b-thinking | $0.144 | $1.43 | 131K | 2025-09 |
| OpenRouter openrouter | qwen/qwen3-next-80b-a3b-thinking | $0.140 | $1.40 | 262K | 2025-09-11 |
| Vercel AI Gateway vercel | alibaba/qwen3-next-80b-a3b-thinking | $0.150 | $1.50 | 131K | 2025-09-12 |
| Hugging Face huggingface | Qwen/Qwen3-Next-80B-A3B-Thinking | $0.300 | $2.00 | 262K | 2025-09-11 |
| SiliconFlow (China) siliconflow-cn | Qwen/Qwen3-Next-80B-A3B-Thinking | $0.140 | $0.570 | 262K | 2025-09-25 |
| Jiekou.AI jiekou | qwen/qwen3-next-80b-a3b-thinking | $0.150 | $1.50 | 66K | 2026-01 |
| NovitaAI novita-ai | qwen/qwen3-next-80b-a3b-thinking | $0.150 | $1.50 | 131K | 2025-09-10 |
| Qiniu qiniu-ai | qwen3-next-80b-a3b-thinking | Unknown | Unknown | 131K | 2025-09-12 |
| Kilo Gateway kilo | qwen/qwen3-next-80b-a3b-thinking | $0.098 | $0.780 | 131K | 2025-09-11 |
| Nebius Token Factory nebius | Qwen/Qwen3-Next-80B-A3B-Thinking | $0.150 | $1.20 | 128K | 2026-01-28 |
| Nvidia nvidia | qwen/qwen3-next-80b-a3b-thinking | Unknown | Unknown | 262K | 2024-12-01 |
| Cortecs cortecs | qwen3-next-80b-a3b-thinking | $0.164 | $1.31 | 128K | 2025-09-11 |
| SiliconFlow siliconflow | Qwen/Qwen3-Next-80B-A3B-Thinking | $0.140 | $0.570 | 262K | 2025-09-25 |
| LLM Gateway llmgateway | qwen3-next-80b-a3b-thinking | $0.500 | $6.00 | 131K | 2025-09 |
제공자 간 데이터 불일치
- context_window varies: 128000, 131072, 262000, 262144, 65536
- release_date varies (span 423d): 2024-12-01, 2025-09, 2025-09-10, 2025-09-11, 2025-09-12, 2025-09-25, 2026-01, 2026-01-28
제공자별로 이 모델의 값이 다릅니다. 위의 핵심 정보는 대표 제공자 기준이며, 제공자별 상세는 표를 참고하세요.
Frequently asked questions
How much does Qwen3-Next 80B-A3B (Thinking) cost?
Qwen3-Next 80B-A3B (Thinking) costs $0.500 per 1M input tokens and $6.00 per 1M output tokens, sourced from alibaba. 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-Next 80B-A3B (Thinking)?
Qwen3-Next 80B-A3B (Thinking) has a context window of 131K tokens, with a max output of 33K tokens per reply. This is the total combined size of prompt + completion.
Does Qwen3-Next 80B-A3B (Thinking) support tool calling?
Yes. Qwen3-Next 80B-A3B (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 Qwen3-Next 80B-A3B (Thinking) support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for Qwen3-Next 80B-A3B (Thinking) in our data source. Verify with Alibaba (Qwen)'s official documentation before relying on it in production.
Can Qwen3-Next 80B-A3B (Thinking) accept image input?
No. Qwen3-Next 80B-A3B (Thinking) only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is Qwen3-Next 80B-A3B (Thinking) open-weight?
Yes. Qwen3-Next 80B-A3B (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 Qwen3-Next 80B-A3B (Thinking)?
If Qwen3-Next 80B-A3B (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
마지막 업데이트:
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.