Интерфейс моделей ИИ

Qwen: Qwen3.5-Flash

openrouter/qwen3-5-flash-02-23

От openrouter · семейство: qwen · выпуск 2026-02-25

⚠ Это сообществом дообученная / производная модель — не официальный релиз вендора.

$0.065
Вход / 1M токенов
$0.260
Выход / 1M токенов
1M
Окно контекста
66K
Макс. вывод

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

Возможности

✓ Tool calling✓ Рассуждение✓ Структурированный вывод✓ Вложения✗ Открытые веса✓ Управление температурой
Модальности: вход text, image, video · выход 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.

Coding91
  • Tool calling40/40
  • Structured output20/20
  • Reasoning10/10
  • Context window (100K → 1M)20/20
  • Provider availability1/10
Agents91
  • Tool calling35/35
  • Structured output25/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability1/10
JSON / structured output99
  • Structured output / JSON mode50/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume19/20
Cost efficiency74
  • Headline price (log-scaled)74/95
  • Has prompt-cache pricing0/5
Long context90
  • Context window (100K → 2M)80/90
  • Has published price for full window10/10
Vision91
  • Accepts image input50/50
  • Context window (10K → 1M)30/30
  • Has published price10/10
  • Provider availability1/10
Production-readiness50
  • Number of independent providers5/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • 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
$0.46
< $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
$0.91
< $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
$0.26
< $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
$0.78
< $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
$0.94
< $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 openrouter · qwen/qwen3.5-flash-02-23

$0.065
Вход
$0.260
Выход

Доступна у 1 провайдеров

ПровайдерID модели провайдераВход / 1MВыход / 1MКонтекстВыпуск
OpenRouter
openrouter
qwen/qwen3.5-flash-02-23$0.065$0.2601M2026-02-25

Frequently asked questions

How much does Qwen: Qwen3.5-Flash cost?

Qwen: Qwen3.5-Flash costs $0.065 per 1M input tokens and $0.260 per 1M output tokens, sourced from openrouter. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of Qwen: Qwen3.5-Flash?

Qwen: Qwen3.5-Flash has a context window of 1M tokens, with a max output of 66K tokens per reply. This is the total combined size of prompt + completion.

Does Qwen: Qwen3.5-Flash support tool calling?

Yes. Qwen: Qwen3.5-Flash 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 Qwen: Qwen3.5-Flash support structured output / JSON mode?

Yes. Qwen: Qwen3.5-Flash 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 Qwen: Qwen3.5-Flash accept image input?

Yes. Qwen: Qwen3.5-Flash accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check openrouter's docs for the exact rule.

Is Qwen: Qwen3.5-Flash open-weight?

No. Qwen: Qwen3.5-Flash is a proprietary model — only openrouter (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.

What are the best alternatives to Qwen: Qwen3.5-Flash?

If Qwen: Qwen3.5-Flash doesn't fit, consider LFM2.5-1.2B-Instruct (free), LFM2.5-1.2B-Thinking (free), Owl Alpha. 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 openrouter models

Capability lists this model is in

See also

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.