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Qwen: Qwen3.5-35B-A3B API Pricing

Qwen: Qwen3.5-35B-A3B costs $0.140 per 1M input tokens and $1.00 per 1M output tokens (cache reads: $0.050). Context window: 262K. Prices verified 2026-10-21 · source

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Price history
2026-08-23 → 2026-10-21 · 59 daily snapshots
inputoutputinput -44% over windowoutput -20%

Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.

Community adoption
1.4M
HF downloads
2K
Likes

High adoption means battle-tested weights, more fine-tunes/quants, and faster bug fixes. View on HuggingFace →

Pricing behavior
21 price changes in the last 59 daily snapshots
Changes roughly every 4.6 days
Last move (2026-10-21): input -6.7%
Net input drift: -44% since 2026-08-23

From our own daily snapshot archive — independent of provider announcements.

Intelligence & capability
via Artificial Analysis
19.3
Intelligence index · top 55% of 288 scored
$0.355
Blended $/1M (3:1 in:out)

Intelligence measures reasoning/knowledge/coding benchmarks. A high score with a low blended price = value pick; check the value chart to see where this model lands.

Input / 1M tokens
$0.140
Output / 1M tokens
$1.00
Context window
262K
Max output
82K

Token economics

Token typePricevs base input
Standard input$0.140—
Cache read$0.050−64%
Output$1.00—

Prompt caching stores repeated context server-side: reads cost far less, but writes carry a one-time premium.

Reasoning behavior
Mode: Off by default (opt-in)

Higher effort = deeper thinking = more reasoning tokens billed as output.

What would Qwen: Qwen3.5-35B-A3B cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$5.12
Coding agent5,0008,000 / 2,000$15.60
RAG pipeline30,0004,000 / 500$31.80
Doc summarizer2,00020,000 / 1,000$7.60

Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.

About Qwen: Qwen3.5-35B-A3B

The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency. Its overall...

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Frequently asked questions

How much does Qwen: Qwen3.5-35B-A3B cost?

Qwen: Qwen3.5-35B-A3B costs $0.140 per 1M input tokens and $1.00 per 1M output tokens; cached input tokens cost $0.050 per 1M. Verified 2026-10-21 — provider source.

What is the context window?

262K tokens, with up to 82K output tokens per response. That's roughly 328 pages of text in a single request.

Does it support prompt caching?

Yes — cached input is $0.050/1M, about 64% cheaper than standard input. Agents and RAG workloads with repeated context benefit most.

What's a cheaper alternative?

ScaleDown: Summarize saves about 93% on a typical workload with comparable quality.

Official resources