AI 모델 인텔리전스

Qwen3.5-397B-A17B-fast

nebius/qwen3-5-397b-a17b-fast

제공: nebius · 출시 2025-07-15 · 지식 컷오프: 2025-07

⚠ 이 모델은 커뮤니티 파인튜닝 / 파생본으로, 벤더 공식 릴리스가 아닙니다.

$0.600
입력 / 1M 토큰
$3.60
출력 / 1M 토큰
8K
컨텍스트 창
8K
최대 출력

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

기능

✓ 도구 호출✓ 추론✓ 구조화 출력✗ 첨부✓ 오픈 웨이트✓ 온도 제어
모달리티: 입력 text · 출력 text

Model fit scores

0–100 · higher is better

These 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.

Coding71
  • Tool calling40/40
  • Structured output20/20
  • Reasoning10/10
  • Context window (100K → 1M)0/20
  • Provider availability1/10
Agents81
  • Tool calling35/35
  • Structured output25/25
  • Reasoning15/15
  • Output token limit5/15
  • Provider availability1/10
JSON / structured output92
  • Structured output / JSON mode50/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume12/20
Cost efficiency52
  • Headline price (log-scaled)47/95
  • Has prompt-cache pricing5/5
Long context0
  • Context ≥ 100K0/100
Production-readiness43
  • Number of independent providers5/40
  • Has published per-token price20/20
  • Context window ≥ 8K8/15
  • No data inconsistencies across providers10/10
  • Official model (not derivative)0/15

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.

ScenarioCostAssumption
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.

가격 상세

추천 가격 제공자: nebius · Qwen/Qwen3.5-397B-A17B-fast

$0.600
입력
$3.60
출력
$0.060
캐시 읽기
$0.750
캐시 쓰기

1곳 제공사에서 이용 가능

제공자제공자 모델 ID입력 / 1M출력 / 1M컨텍스트출시일
Nebius Token Factory
nebius
Qwen/Qwen3.5-397B-A17B-fast$0.600$3.608K2025-07-15

Frequently asked questions

How much does Qwen3.5-397B-A17B-fast cost?

Qwen3.5-397B-A17B-fast costs $0.600 per 1M input tokens and $3.60 per 1M output tokens, sourced from nebius. 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-fast?

Qwen3.5-397B-A17B-fast has a context window of 8K tokens, with a max output of 8K tokens per reply. This is the total combined size of prompt + completion.

Does Qwen3.5-397B-A17B-fast support tool calling?

Yes. Qwen3.5-397B-A17B-fast 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-fast support structured output / JSON mode?

Yes. Qwen3.5-397B-A17B-fast 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-fast accept image input?

No. Qwen3.5-397B-A17B-fast only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is Qwen3.5-397B-A17B-fast open-weight?

Yes. Qwen3.5-397B-A17B-fast'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-fast?

If Qwen3.5-397B-A17B-fast doesn't fit, consider Hermes-4-70B, Hermes-4-405B, INTELLECT-3. 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 nebius models

Capability lists this model is in

See also

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.