Qwen3 Embedding 8B
alibaba/qwen3-embedding-8bОт Alibaba (Qwen) · семейство: qwen · выпуск 2025-25-11 · дата знаний: 2024-12
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Возможности
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.
Coding6
- Tool calling0/40
- Structured output0/20
- Reasoning0/10
- Context window (100K → 1M)0/20
- Provider availability6/10
Agents21
- Tool calling0/35
- Structured output0/25
- Reasoning0/15
- Output token limit15/15
- Provider availability6/10
JSON / structured output20
- Structured output / JSON mode0/50
- Tool calling0/20
- Temperature control0/10
- Price-friendly for high-volume20/20
Cost efficiency95
- Headline price (log-scaled)95/95
- Has prompt-cache pricing0/5
Long context0
- Context ≥ 100K0/100
Production-readiness86
- Number of independent providers30/40
- 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 | $0.05 < $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 | $0.10 < $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 | $0.02 < $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 | $0.08 < $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 | $0.12 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Детализация цен
Рекомендованная цена от huggingface · Qwen/Qwen3-Embedding-8B
Доступна у 6 провайдеров
| Провайдер | ID модели провайдера | Вход / 1M | Выход / 1M | Контекст | Выпуск |
|---|---|---|---|---|---|
| Vercel AI Gateway vercel | alibaba/qwen3-embedding-8b | $0.050 | Unknown | 33K | 2025-06-05 |
| Hugging Face huggingface | Qwen/Qwen3-Embedding-8B | $0.010 | Unknown | 32K | 2025-01-01 |
| Scaleway scaleway | qwen3-embedding-8b | $0.100 | Unknown | 33K | 2025-25-11 |
| Nebius Token Factory nebius | Qwen/Qwen3-Embedding-8B | $0.010 | Unknown | 33K | 2026-01-10 |
| evroc evroc | Qwen/Qwen3-Embedding-8B | $0.120 | $0.120 | 41K | 2025-07-30 |
| Regolo AI regolo-ai | qwen3-embedding-8b | $0.100 | $0.100 | 33K | 2026-02-01 |
Расхождения данных между провайдерами
- context_window varies: 32000, 32768, 40960
- release_date varies (span 396d): 2025-01-01, 2025-06-05, 2025-07-30, 2025-25-11, 2026-01-10, 2026-02-01
Провайдеры сообщают разные значения для этой модели. Сводка выше использует репрезентативного провайдера; детали — в таблице.
Frequently asked questions
How much does Qwen3 Embedding 8B cost?
Qwen3 Embedding 8B costs $0.010 per 1M input tokens and Unknown per 1M output tokens, sourced from huggingface. 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 Embedding 8B?
Qwen3 Embedding 8B has a context window of 33K tokens, with a max output of 33K tokens per reply. This is the total combined size of prompt + completion.
Does Qwen3 Embedding 8B support tool calling?
No. Qwen3 Embedding 8B does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.
Does Qwen3 Embedding 8B support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for Qwen3 Embedding 8B in our data source. Verify with Alibaba (Qwen)'s official documentation before relying on it in production.
Can Qwen3 Embedding 8B accept image input?
No. Qwen3 Embedding 8B only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is Qwen3 Embedding 8B open-weight?
No. Qwen3 Embedding 8B is a proprietary model — only Alibaba (Qwen) (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.
What are the best alternatives to Qwen3 Embedding 8B?
If Qwen3 Embedding 8B 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
Последнее обновление:
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.