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

Qwen3.5-35B-A3B costs $0.065/M input tokens and $0.75/M output tokens, with separate rates for Cache Read at $0.0325/M tokens.

What is the context length of Qwen3.5-35B-A3B?

Qwen3.5-35B-A3B has a 262,144 token context window. It supports up to 131,072 completion tokens.

Does Qwen3.5-35B-A3B support tool calling and structured outputs?

Yes. Qwen3.5-35B-A3B accepts tools and tool_choice for function calling on 5 of the 7 providers serving it, and requests that send tools are routed to those providers. It also supports structured outputs via a JSON schema in response_format.

What inputs and outputs does Qwen3.5-35B-A3B support?

Qwen3.5-35B-A3B accepts text, images, and video as input and returns text.

Which providers serve Qwen3.5-35B-A3B?

Qwen3.5-35B-A3B is served by 7 providers on OpenRouter: Darkbloom, DeepInfra, Parasail, Venice, Alibaba Cloud Int., AtlasCloud, and SiliconFlow. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.

When was Qwen3.5-35B-A3B released?

Qwen3.5-35B-A3B was released on February 25, 2026.

Qwen: Qwen3.5-35B-A3B

qwen/qwen3.5-35b-a3b

Model weights

Compare

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 performance is comparable to that of the Qwen3.5-27B.

Modalities

In / out price

$0.065 / $0.75per 1M

Context

262K

Released

Feb 25, 2026

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick: Balanced (price + speed), Nitro (fastest), or Floor (cheapest).

Latency / throughput


$0.15	$1.00	$0.05	0.63s	102 tok/s	98.64%
$0.065	$0.75	$0.0325	1.65s	74 tok/s	99.73%
$0.14	$1.00	$0.05	0.45s	38 tok/s	99.96%
$0.1625	$1.30	--	0.46s	165 tok/s	100.00%
$0.15	$1.00	$0.05	1.98s	113 tok/s	99.70%
$0.24	$1.80	$0.15	0.66s	62 tok/s	98.14%
$0.225	$1.80	$0.225	1.56s	80 tok/s	100.00%

Input $0.15Output $1.00
102 tok/s98.64% uptime
Input $0.065Output $0.75
74 tok/s99.73% uptime
Input $0.14Output $1.00
38 tok/s99.96% uptime
Input $0.1625Output $1.30
165 tok/s100.00% uptime
Input $0.15Output $1.00
113 tok/s99.70% uptime
Input $0.24Output $1.80
62 tok/s98.14% uptime
Input $0.225Output $1.80
80 tok/s100.00% uptime

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Weighted average

Input

$0.1362/M tokens

Output

$0.9784/M tokens

Qwen3.5-35B-A3B — Price history

Price history

No effective price data for this selection

$0.0597	$0.749	15.6%	5.7%
$0.1249	$1.000	24.8%	2.3%
$0.1398	$1.000	0.0%	84.4%
$0.1497	$1.000	0.0%	6.6%
$0.1619	$1.298	0.0%	0.8%
$0.2246	$1.800	0.0%	0.1%
$0.2396	$1.800	0.0%	0.1%

Effective in $0.0597Effective out $0.749
Token share
5.7%
Effective in $0.1249Effective out $1.000
Token share
2.3%
Effective in $0.1398Effective out $1.000
Token share
84.4%
Effective in $0.1497Effective out $1.000
Token share
6.6%
Effective in $0.1619Effective out $1.298
Token share
0.8%
Effective in $0.2246Effective out $1.800
Token share
0.1%
Effective in $0.2396Effective out $1.800
Token share
0.1%

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Throughput

165tok/s

P50, best across providers

Latency

0.45s

P50, best provider

Latency / throughput

AutoExacto benchmarks

GPQA DiamondTAU-BenchSiliconFlow83.1%--DeepInfra83.0%--Alibaba Cloud Int.82.9%78.6%Parasail81.7%78.9%auto-routing81.5%78.8%

+3 more providers

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Uptime (3d)

100.00%

Availability (3d)

99.87%

Availability over the last 3 days

Last 72 hours

Availability 99.87%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

99.99%

Without Routing

99.52%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for Qwen: Qwen3.5-35B-A3B (Artificial Analysis)
Source	Benchmark	Score
Artificial Analysis	Qwen3.5 35B A3B (Non-reasoning) Coding Index	37.0
Artificial Analysis	Qwen3.5 35B A3B (Non-reasoning) GPQA Diamond	81.9%
Artificial Analysis	Qwen3.5 35B A3B (Non-reasoning) HLE	13.4%
Artificial Analysis	Qwen3.5 35B A3B (Non-reasoning) IFBench	44.5%
Artificial Analysis	Qwen3.5 35B A3B (Non-reasoning) τ²-Bench Telecom	86.3%
Artificial Analysis	Qwen3.5 35B A3B (Non-reasoning) AA-LCR	63.0%
Artificial Analysis	Qwen3.5 35B A3B (Non-reasoning) τ-Bench Banking	4.9%
Artificial Analysis	Qwen3.5 35B A3B (Non-reasoning) GDPval-AA	5.8%
Artificial Analysis	Qwen3.5 35B A3B (Non-reasoning) CritPt	0.6%
Artificial Analysis	Qwen3.5 35B A3B (Non-reasoning) Terminal-Bench Hard	10.6%
Artificial Analysis	Qwen3.5 35B A3B (Non-reasoning) Terminal-Bench 2.1	40.8%
Artificial Analysis	Qwen3.5 35B A3B (Reasoning) GPQA Diamond	84.5%
Artificial Analysis	Qwen3.5 35B A3B (Reasoning) HLE	21.0%
Artificial Analysis	Qwen3.5 35B A3B (Reasoning) IFBench	72.5%
Artificial Analysis	Qwen3.5 35B A3B (Reasoning) τ²-Bench Telecom	89.2%
Artificial Analysis	Qwen3.5 35B A3B (Reasoning) AA-LCR	72.0%
Artificial Analysis	Qwen3.5 35B A3B (Reasoning) CritPt	0.9%
Artificial Analysis	Qwen3.5 35B A3B (Reasoning) Terminal-Bench Hard	26.5%

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Hermes Agent

Hermes Agent is an open-source, self-improving AI agent by Nous Research that runs persistently with memory across sessions, and builds reusable skills from experience. It comes with 40+ built-in tools, including web search, browser automation, and vision, plus scheduled automations and subagents.

2.16Btokens

nanobot

Ultra-lightweight personal AI agent

1.39Btokens

OpenHands

AI coding agent that can run commands, browse the web, call APIs

910Mtokens

marl commit0 rollouts

new

418Mtokens

Claude Code

Claude Code is Anthropic's agentic coding tool that reads your entire codebase, plans and executes changes across files, runs tests, and iterates on failures, all from natural language prompts.

302Mtokens

Rest of OpenRouter

4.5B

Top 5 Apps

6.2M

Not currently available through EU in-region routing. In-region routing docs

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Qwen: Qwen3.5-35B-A3B

Providers