Qwen3.5 397B A17B vs Qwen3.5-Flash
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on September 30, 2026· 217 models
The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency.
- Reasoning estimated
- ▲
- Speed estimated
- Input
- Output
- Context
- 262 K tokens
- Max output
- ▲236 K
- Input, $ per 1M tokens
- $0.550
- Output, $ per 1M tokens
- $3.50
- Cache read, $ per 1M
- $0.225
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 02/16/2026
- Knowledge cutoff
- 2025-04
- API id
- qwen/qwen3.5-397b-a17b
The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency.
- Reasoning estimated
- Speed estimated
- ▲
- Input
- Output
- Context
- ▲1 M tokens
- Max output
- 66 K
- Input, $ per 1M tokens
- ▲$0.065
- Output, $ per 1M tokens
- ▲$0.260
- Cache read, $ per 1M
- —
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- ▲02/25/2026
- Knowledge cutoff
- —
- API id
- qwen/qwen3.5-flash-02-23
Which is the better API choice: Qwen3.5 397B A17B vs Qwen3.5-Flash?
- Qwen3.5-Flash: cheapest input (88% less than Qwen3.5 397B A17B)
- Qwen3.5-Flash: cheapest output
- Qwen3.5-Flash: largest context (1 M)
- Qwen3.5-Flash: the newest (02/25/2026)
- Qwen3.5 397B A17B: most reasoning (estimated)
- Qwen3.5-Flash: the fastest (estimated)
Qwen3.5-Flash costs 88% less on input and 93% less on output than Qwen3.5 397B A17B ($0.065 / $0.260 versus $0.550 / $3.50 per million tokens). Qwen3.5-Flash accepts more context (1 M).
What would your product cost?
Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.
With Qwen3.5-Flash you save $20.24 a month versus Qwen3.5 397B A17B (91% less).
The 6 cheapest for this scenario (chat, last 12 months)
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- 2Lyria 3 Clip Preview Google$0.00
- 3Qwen3.7 Flash Qwen$0.97
- 4DeepSeek V4 Flash 0731 DeepSeek$1.55
- 5Ministral 3 3B 2512 Mistral$1.90
- 6Qwen3.5-Flash Qwen$2.02
Paste your prompt: tokens and cost per model
Rough estimate (about 4 characters per token). Nothing is sent to any server.
Cost of sending it 1,000 times (input only)
- 1Qwen3.5-Flash Qwen$0.005
- 2Qwen3.5 397B A17B Qwen$0.042
- 3Claude Sonnet 5.5 Anthropic$0.152
- 4Claude Sonnet 5 Anthropic$0.152
- 5Claude Opus 5.5 Anthropic$0.304
- 6Claude Opus 5 Anthropic$0.380
- 7Claude Fable 5.1 Anthropic$0.760
- 8Claude Fable 5 Anthropic$0.760
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Frequently asked questions
Which is the better API choice: Qwen3.5 397B A17B vs Qwen3.5-Flash?
Qwen3.5-Flash costs 88% less on input and 93% less on output than Qwen3.5 397B A17B ($0.065 / $0.260 versus $0.550 / $3.50 per million tokens). Qwen3.5-Flash accepts more context (1 M).
Which is cheaper: Qwen3.5 397B A17B and Qwen3.5-Flash?
Qwen3.5-Flash is cheaper: $0.065 per million input tokens and $0.260 per million output tokens, versus $0.550 / $3.50 for Qwen3.5 397B A17B.
Which has more context: Qwen3.5 397B A17B and Qwen3.5-Flash?
Qwen3.5-Flash accepts 1 M tokens of context; Qwen3.5 397B A17B accepts 262 K.
Which is newer: Qwen3.5 397B A17B and Qwen3.5-Flash?
Qwen3.5-Flash was released on 02/25/2026; Qwen3.5 397B A17B on 02/16/2026.
What would 10,000 requests a month cost with Qwen3.5 397B A17B and Qwen3.5-Flash?
With 1,500 input and 400 output tokens per request: Qwen3.5 397B A17B: $22.25; Qwen3.5-Flash: $2.02 a month, at list price.
Where do the prices come from and how often are they updated?
From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.
What does price per million tokens mean?
It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.
Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.