Qwen3.6 35B A3B vs Qwen3.6 Flash
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on September 30, 2026· 217 models
Qwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token.
- Reasoning estimated
- ▲
- Speed estimated
- Input
- Output
- Context
- 262 K tokens
- Max output
- ▲236 K
- Input, $ per 1M tokens
- ▲$0.150
- Output, $ per 1M tokens
- ▲$1.00
- Cache read, $ per 1M
- $0.050
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 04/17/2026
- Knowledge cutoff
- —
- API id
- qwen/qwen3.6-35b-a3b
Qwen3.6 Flash is a fast, efficient language model from Alibaba's Qwen 3.6 series.
- Reasoning estimated
- Speed estimated
- ▲
- Input
- Output
- Context
- ▲1 M tokens
- Max output
- 66 K
- Input, $ per 1M tokens
- $0.188
- Output, $ per 1M tokens
- $1.13
- Cache read, $ per 1M
- —
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- ▲04/27/2026
- Knowledge cutoff
- —
- API id
- qwen/qwen3.6-flash
Which is the better API choice: Qwen3.6 35B A3B vs Qwen3.6 Flash?
- Qwen3.6 35B A3B: cheapest input (20% less than Qwen3.6 Flash)
- Qwen3.6 35B A3B: cheapest output
- Qwen3.6 Flash: largest context (1 M)
- Qwen3.6 Flash: the newest (04/27/2026)
- Qwen3.6 35B A3B: most reasoning (estimated)
- Qwen3.6 Flash: the fastest (estimated)
Qwen3.6 35B A3B costs 20% less on input and 11% less on output than Qwen3.6 Flash ($0.150 / $1.00 versus $0.188 / $1.13 per million tokens). Qwen3.6 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 Qwen3.6 35B A3B you save $1.06 a month versus Qwen3.6 Flash (15% less).
The 6 cheapest for this scenario (chat, last 12 months)
- 1Lyria 3 Pro Preview Google$0.00
- 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)
- 1Qwen3.6 35B A3B Qwen$0.011
- 2Qwen3.6 Flash Qwen$0.014
- 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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- Gemini 3.8 Flash vs DeepSeek V4.1 Flash
- Gemini 3.8 Flash vs Grok 4.7
- DeepSeek V4.1 Flash vs Grok 4.7
Frequently asked questions
Which is the better API choice: Qwen3.6 35B A3B vs Qwen3.6 Flash?
Qwen3.6 35B A3B costs 20% less on input and 11% less on output than Qwen3.6 Flash ($0.150 / $1.00 versus $0.188 / $1.13 per million tokens). Qwen3.6 Flash accepts more context (1 M).
Which is cheaper: Qwen3.6 35B A3B and Qwen3.6 Flash?
Qwen3.6 35B A3B is cheaper: $0.150 per million input tokens and $1.00 per million output tokens, versus $0.188 / $1.13 for Qwen3.6 Flash.
Which has more context: Qwen3.6 35B A3B and Qwen3.6 Flash?
Qwen3.6 Flash accepts 1 M tokens of context; Qwen3.6 35B A3B accepts 262 K.
Which is newer: Qwen3.6 35B A3B and Qwen3.6 Flash?
Qwen3.6 Flash was released on 04/27/2026; Qwen3.6 35B A3B on 04/17/2026.
What would 10,000 requests a month cost with Qwen3.6 35B A3B and Qwen3.6 Flash?
With 1,500 input and 400 output tokens per request: Qwen3.6 35B A3B: $6.25; Qwen3.6 Flash: $7.31 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.