Qwen3.8 27B
alibaba/qwen3-8-27b提供： Alibaba (Qwen) · ファミリー: qwen · リリース 2026-08-14
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
機能一覧
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.
Coding100
- Tool calling40/40
- Structured output20/20
- Reasoning10/10
- Context window (100K → 1M)20/20
- Provider availability10/10
Agents100
- Tool calling35/35
- Structured output25/25
- Reasoning15/15
- Output token limit15/15
- Provider availability10/10
JSON / structured output99
- Structured output / JSON mode50/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume19/20
Cost efficiency76
- Headline price (log-scaled)71/95
- Has prompt-cache pricing5/5
Long context90
- Context window (100K → 2M)80/90
- Has published price for full window10/10
Vision100
- Accepts image input50/50
- Context window (10K → 1M)30/30
- 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 | $0.57 < $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 | $1.15 < $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 | $0.34 < $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 | $0.99 < $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 | $1.17 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
料金詳細
推奨料金 (提供元): llmgateway-providers · consensusprotocol/Qwen3.8-27B
最安プロバイダー: amd · Unknown 入力 + Unknown 出力
35 か所で利用可能
| プロバイダー | プロバイダーモデルID | 入力 / 1M | 出力 / 1M | コンテキスト | リリース日 |
|---|---|---|---|---|---|
| OpenRouter openrouter | qwen/qwen3.8-27b | $0.055 | $4.40 | 1M | 2026-08-14 |
| Vercel AI Gateway vercel | alibaba/qwen3.8-27b | $0.500 | $3.00 | 1M | 2026-08-14 |
| Groq groq | qwen/qwen3.8-27b | $0.800 | $4.00 | 131K | 2026-08-14 |
| Deep Infra deepinfra | Qwen/Qwen3.8-27B | $0.200 | $2.50 | 262K | 2026-08-14 |
| Hugging Face huggingface | Qwen/Qwen3.8-27B | $0.400 | $3.00 | 262K | 2026-08-14 |
| EmpirioLabs AI empiriolabs | qwen3-8-27b | $0.170 | $0.500 | 262K | 2026-08-14 |
| Cloudflare Workers AI cloudflare-workers-ai | @cf/qwen/qwen3.8-27b | $0.450 | $3.20 | 262K | 2026-08-14 |
| NanoGPT nano-gpt | TEE/qwen3.8-27b | $0.400 | $3.00 | 262K | 2026-08-14 |
| NanoGPT nano-gpt | qwen/qwen3.8-27b | $0.150 | $0.700 | 262K | 2026-08-14 |
| CrofAI crof | qwen3.8-27b | $0.200 | $1.50 | 262K | 2026-08-14 |
| CoreWeave wandb | Qwen/Qwen3.8-27B | $0.400 | $3.00 | 262K | 2026-08-14 |
| LLM Gateway llmgateway-providers | consensusprotocol/Qwen3.8-27B | $0.080 | $0.350 | 33K | 2026-09-02 |
| Kilo Gateway kilo | qwen/qwen3.8-27b | $0.425 | $2.55 | 262K | 2026-08-14 |
| Berget.AI berget | Qwen/Qwen3.8-27B-FP8 | $0.460 | $3.48 | 262K | 2026-08-14 |
| IteraCompute iteracompute | qwen/qwen3.8-27b | $0.300 | $2.50 | 328K | 2026-08-14 |
| Regolo AI regolo-ai | qwen3.8-27b | $0.580 | $2.42 | 120K | 2026-08-14 |
| ai& aiand | qwen/qwen3.8-27b | $0.400 | $3.00 | 262K | 2026-08-14 |
| Ambient ambient | qwen/qwen3.8-27b | $0.320 | $3.20 | 33K | 2026-08-14 |
| Nebius Token Factory nebius | Qwen/Qwen3.8-27B | $0.450 | $3.00 | 262K | 2026-08-14 |
| Charm Hyper hyper | qwen3.8-27b | $0.500 | $3.00 | 1M | 2026-08-26 |
| OrcaRouter orcarouter | qwen/qwen3.8-27b | $0.330 | $2.40 | 262K | 2026-08-14 |
| Ofox ofox | bailian/qwen3.8-27b | $0.450 | $3.20 | 1.13M | 2026-08-14 |
| Ofox ofox | qwen/qwen3.8-27b | $0.500 | $1.71 | 1.13M | 2026-08-14 |
| Opper opper | qwen3.8-27b | $0.581 | $3.00 | 262K | 2026-08-14 |
| AKI.IO aki-io | qwen3.8-27b | $0.300 | $2.20 | 262K | 2026-08-14 |
| TensorX tensorx | qwen/qwen3.8-27b | $0.400 | $2.40 | 262K | 2026-08-14 |
| Eden AI edenai | qwen/qwen3.8-27b | $0.500 | $3.00 | 1M | 2026-08-14 |
| OVHcloud AI Endpoints ovhcloud | qwen3.8-27b | $0.470 | $3.19 | 262K | 2026-09-02 |
| DevPass (LLM Gateway) llmgateway | Qwen3.8-27B | $0.080 | $0.350 | 33K | 2026-09-02 |
| evroc evroc | Qwen/Qwen3.8-27B | $0.870 | $3.50 | 262K | 2026-08-14 |
| Kosmik Compute kosmik | qwen/qwen3.8-27b | $0.350 | $2.20 | 262K | 2026-08-14 |
| Cortecs cortecs | qwen3.8-27b | $0.100 | $0.400 | 1M | 2026-08-14 |
| AMD amd | Qwen3.8-27B | Unknown | Unknown | 131K | 2026-08-14 |
| RunInfra runinfra | Qwen/Qwen3.8-27B | $0.100 | $0.400 | 262K | 2026-08-14 |
| Hetzner hetzner | Qwen3.8-27B | Unknown | Unknown | 262K | 2026-08-14 |
プロバイダー間でデータに差異
- context_window varies: 1000000, 1131072, 120000, 131042, 131072, 262144, 32768, 327680
- release_date varies (span 19d): 2026-08-14, 2026-08-26, 2026-09-02
- modalities varies across offerings
プロバイダーごとに本モデルの値が異なります。上部の「主要数値」は代表的プロバイダーを使用しています。詳細は表をご確認ください。
Frequently asked questions
How much does Qwen3.8 27B cost?
Qwen3.8 27B costs $0.080 per 1M input tokens and $0.350 per 1M output tokens, sourced from llmgateway-providers. 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 27B?
Qwen3.8 27B has a context window of 1M tokens, with a max output of 236K tokens per reply. This is the total combined size of prompt + completion.
Does Qwen3.8 27B support tool calling?
Yes. Qwen3.8 27B 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 27B support structured output / JSON mode?
Yes. Qwen3.8 27B 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 27B accept image input?
Yes. Qwen3.8 27B 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 27B open-weight?
Yes. Qwen3.8 27B'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 27B?
If Qwen3.8 27B doesn't fit, consider Qwen3.5 397B-A17B, Qwen3.8 Max, Qwen3.7 Max. 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
- Qwen3.5 397B-A17B$0.60 in / $3.60 out
- Qwen3.8 Max$2.00 in / $6.00 out
- Qwen3.7 Max$2.50 in / $7.50 out
- Qwen3.6 35B-A3B$0.25 in / $1.49 out
- Qwen3.7 Plus$0.40 in / $1.60 out
Capability lists this model is in
最終更新：
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.