Qwen3.8 Flash Next
alibaba/qwen3-8-flash-nextPor Alibaba (Qwen) · familia: qwen · lanzado 2026-08-27
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.
Coding82
- Tool calling40/40
- Structured output20/20
- Reasoning10/10
- Context window (100K → 1M)8/20
- Provider availability4/10
Agents94
- Tool calling35/35
- Structured output25/25
- Reasoning15/15
- Output token limit15/15
- Provider availability4/10
JSON / structured output99
- Structured output / JSON mode50/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume19/20
Cost efficiency75
- Headline price (log-scaled)75/95
- Has prompt-cache pricing0/5
Long context61
- Context window (100K → 2M)51/90
- Has published price for full window10/10
Vision85
- Accepts image input50/50
- Context window (10K → 1M)21/30
- Has published price10/10
- Provider availability4/10
Production-readiness78
- Number of independent providers20/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers8/10
- 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 | $0.60 < $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 | $1.20 < $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 | $0.30 < $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 | $1.00 < $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 | $1.32 < $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 vultr · qwen3.8-flash-next
Proveedor más barato: amd · Unknown entrada + Unknown salida
Disponible en 4 proveedores
| Proveedor | ID de modelo del proveedor | Entrada / 1M | Salida / 1M | Contexto | Lanzado |
|---|---|---|---|---|---|
| TensorX tensorx | qwen/qwen3.8-flash-next | $0.200 | $0.500 | 262K | 2026-08-27 |
| AMD amd | Qwen3.8-Flash-Next | Unknown | Unknown | 262K | 2026-08-27 |
| Requesty requesty | qwen3.8-flash-next | $0.200 | $0.500 | 262K | 2026-08-27 |
| Vultr vultr | qwen3.8-flash-next | $0.100 | $0.200 | 262K | 2026-08-27 |
Inconsistencias de datos entre proveedores
- 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 Qwen3.8 Flash Next cost?
Qwen3.8 Flash Next costs $0.100 per 1M input tokens and $0.200 per 1M output tokens, sourced from vultr. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of Qwen3.8 Flash Next?
Qwen3.8 Flash Next has a context window of 262K tokens, with a max output of 64K tokens per reply. This is the total combined size of prompt + completion.
Does Qwen3.8 Flash Next support tool calling?
Yes. Qwen3.8 Flash Next 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 Qwen3.8 Flash Next support structured output / JSON mode?
Yes. Qwen3.8 Flash Next 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 Qwen3.8 Flash Next accept image input?
Yes. Qwen3.8 Flash Next 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 Qwen3.8 Flash Next open-weight?
Yes. Qwen3.8 Flash Next'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 Qwen3.8 Flash Next?
If Qwen3.8 Flash Next doesn't fit, consider Qwen3.8 27B, Qwen3.8 Max, Qwen3.6 35B-A3B. 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 are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
More Alibaba (Qwen) models
- Qwen3.8 27B$0.00 in / $0.00 out
- Qwen3.8 Max$2.00 in / $6.00 out
- Qwen3.6 35B-A3B$0.38 in / $2.25 out
- Qwen3.8 Flash$0.15 in / $0.47 out
- Qwen3.7 Max$2.50 in / $7.50 out
Capability lists this model is in
Última actualización:
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.