Qwen3.5 397B-A17B
alibaba/qwen3-5-397b-a17bPor Alibaba (Qwen) · familia: qwen · lanzado 2026-02-16 · fecha de conocimiento: 2025-04
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Capacidades
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.
Coding88
- Tool calling40/40
- Structured output20/20
- Reasoning10/10
- Context window (100K → 1M)8/20
- Provider availability10/10
Agents100
- Tool calling35/35
- Structured output25/25
- Reasoning15/15
- Output token limit15/15
- Provider availability10/10
JSON / structured output92
- Structured output / JSON mode50/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume12/20
Cost efficiency47
- Headline price (log-scaled)47/95
- Has prompt-cache pricing0/5
Long context61
- Context window (100K → 2M)51/90
- Has published price for full window10/10
Vision91
- Accepts image input50/50
- Context window (10K → 1M)21/30
- Has published price10/10
- Provider availability10/10
Production-readiness94
- Number of independent providers40/40
- 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 | $4.80 < $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 | $9.60 < $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 | $3.00 < $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 | $8.40 < $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 | $9.36 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Detalle de precios
Precio recomendado de alibaba · qwen3.5-397b-a17b
Proveedor más barato: wafer.ai · Unknown entrada + Unknown salida
Disponible en 22 proveedores
| Proveedor | ID de modelo del proveedor | Entrada / 1M | Salida / 1M | Contexto | Lanzado |
|---|---|---|---|---|---|
| Alibaba alibaba | qwen3.5-397b-a17b | $0.600 | $3.60 | 262K | 2026-02-15 |
| Alibaba (China) alibaba-cn | qwen3.5-397b-a17b | $0.430 | $2.58 | 262K | 2026-02-16 |
| OpenRouter openrouter | qwen/qwen3.5-397b-a17b | $0.600 | $3.60 | 262K | 2026-02-16 |
| Together AI togetherai | Qwen/Qwen3.5-397B-A17B | $0.600 | $3.60 | 262K | 2026-02-16 |
| Deep Infra deepinfra | Qwen/Qwen3.5-397B-A17B | $0.540 | $3.40 | 262K | 2026-02-01 |
| Hugging Face huggingface | Qwen/Qwen3.5-397B-A17B | $0.600 | $3.60 | 262K | 2026-02-01 |
| Scaleway scaleway | qwen3.5-397b-a17b | $0.600 | $3.60 | 256K | 2026-03-17 |
| NanoGPT nano-gpt | TEE/qwen3.5-397b-a17b | $0.600 | $3.60 | 258K | 2026-02-28 |
| NanoGPT nano-gpt | qwen/qwen3.5-397b-a17b | $0.600 | $3.60 | 258K | 2026-02-16 |
| SiliconFlow (China) siliconflow-cn | Qwen/Qwen3.5-397B-A17B | $0.290 | $1.74 | 262K | 2026-02-16 |
| NovitaAI novita-ai | qwen/qwen3.5-397b-a17b | $0.600 | $3.60 | 262K | 2026-02-17 |
| Qiniu qiniu-ai | qwen3.5-397b-a17b | Unknown | Unknown | 256K | 2026-02-22 |
| Kilo Gateway kilo | qwen/qwen3.5-397b-a17b | $0.390 | $2.34 | 262K | 2026-02-15 |
| Mixlayer mixlayer | qwen/qwen3.5-397b-a17b | $0.600 | $3.60 | 262K | 2026-03-18 |
| Nebius Token Factory nebius | Qwen/Qwen3.5-397B-A17B | $0.600 | $3.60 | 262K | 2025-07-15 |
| Venice AI venice | qwen3-5-397b-a17b | $0.750 | $4.50 | 128K | 2026-02-16 |
| Wafer wafer.ai | Qwen3.5-397B-A17B | Unknown | Unknown | 262K | 2026-02-16 |
| Synthetic synthetic | hf:Qwen/Qwen3.5-397B-A17B | $0.600 | $3.00 | 262K | 2026-02-11 |
| Nvidia nvidia | qwen/qwen3.5-397b-a17b | Unknown | Unknown | 262K | 2026-02-16 |
| DigitalOcean digitalocean | qwen3.5-397b-a17b | $0.550 | $3.50 | 262K | 2026-02-15 |
| Cortecs cortecs | qwen3.5-397b-a17b | $0.600 | $3.60 | 250K | 2026-02-16 |
| Neuralwatt neuralwatt | Qwen/Qwen3.5-397B-A17B-FP8 | $0.690 | $4.14 | 262K | 2026-02-01 |
Inconsistencias de datos entre proveedores
- context_window varies: 128000, 250000, 256000, 258048, 262144
- release_date varies (span 246d): 2025-07-15, 2026-02-01, 2026-02-11, 2026-02-15, 2026-02-16, 2026-02-17, 2026-02-22, 2026-02-28, 2026-03-17, 2026-03-18
- modalities varies across offerings
Los proveedores reportan valores distintos para este modelo. Los datos clave de arriba usan un proveedor representativo; consulta la tabla para detalles por proveedor.
Frequently asked questions
How much does Qwen3.5 397B-A17B cost?
Qwen3.5 397B-A17B costs $0.600 per 1M input tokens and $3.60 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 Qwen3.5 397B-A17B?
Qwen3.5 397B-A17B has a context window of 262K tokens, with a max output of 66K tokens per reply. This is the total combined size of prompt + completion.
Does Qwen3.5 397B-A17B support tool calling?
Yes. Qwen3.5 397B-A17B 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 Qwen3.5 397B-A17B support structured output / JSON mode?
Yes. Qwen3.5 397B-A17B supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Can Qwen3.5 397B-A17B accept image input?
Yes. Qwen3.5 397B-A17B 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 Qwen3.5 397B-A17B open-weight?
Yes. Qwen3.5 397B-A17B'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 Qwen3.5 397B-A17B?
If Qwen3.5 397B-A17B doesn't fit, consider Qwen3 32B, Qwen3 235B A22B Instruct 2507, Qwen3-Coder 480B-A35B Instruct. 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 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
- Qwen3-Next 80B-A3B Instruct$0.50 in / $2.00 out
Capability lists this model is in
Última actualización:
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.