How much does Qwen3.5-9B cost?

Qwen3.5-9B costs $0.08/M input tokens and $0.13/M output tokens, with separate rates for Cache Read at $0.04/M tokens.

What is the context length of Qwen3.5-9B?

Qwen3.5-9B has a 262,144 token context window. It supports up to 65,536 completion tokens.

Does Qwen3.5-9B support tool calling and structured outputs?

Yes. Qwen3.5-9B accepts tools and tool_choice for function calling on 5 of the 6 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 Qwen3.5-9B support?

Qwen3.5-9B accepts text, images, and video as input and returns text.

Which providers serve Qwen3.5-9B?

Qwen3.5-9B is served by 6 providers on OpenRouter: Darkbloom, SiliconFlow, DeepInfra, Parasail, Prime Intellect, and Together. 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 Qwen3.5-9B released?

Qwen3.5-9B was released on March 10, 2026.

Qwen: Qwen3.5-9B

qwen/qwen3.5-9b

Model weights

Compare

Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design with early fusion of multimodal tokens, allowing the model to process and reason across text and images within the same context.

Modalities

In / out price

$0.08 / $0.13per 1M

Context

262K

Released

Mar 10, 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


$0.08	$0.13	$0.04	0.86s	61 tok/s	99.30%
$0.146	$0.214	$0.131	0.38s	100 tok/s	100.00%
$0.17	$0.25	--	0.12s	148 tok/s	96.06%
$0.10	$0.15	--	1.39s	27 tok/s	95.65%
$0.10	$0.15	--	0.79s	15 tok/s	99.89%
$0.10	$0.25	--	1.24s	80 tok/s	42.77%

Input $0.08Output $0.13
61 tok/s99.30% uptime
Input $0.146Output $0.214
100 tok/s100.00% uptime
Input $0.17Output $0.25
148 tok/s96.06% uptime
Input $0.10Output $0.15
27 tok/s95.65% uptime
Input $0.10Output $0.15
15 tok/s99.89% uptime
Input $0.10Output $0.25
80 tok/s42.77% 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

$0.09813/M tokens

Output

$0.1586/M tokens

Qwen3.5-9B — Price history

Price history

No effective price data for this selection

$0.0595	$0.129	51.1%	15.6%
$0.0906	$0.140	34.4%	49.1%
$0.0998	$0.248	68.3%	9.7%
$0.0999	$0.149	0.0%	9.2%
$0.0999	$0.150	2.1%	3.7%
$0.1698	$0.249	69.5%	12.6%

Effective in $0.0595Effective out $0.129
Token share
15.6%
Effective in $0.0906Effective out $0.140
Token share
49.1%
Effective in $0.0998Effective out $0.248
Token share
9.7%
Effective in $0.0999Effective out $0.149
Token share
9.2%
Effective in $0.0999Effective out $0.150
Token share
3.7%
Effective in $0.1698Effective out $0.249
Token share
12.6%

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

148tok/s

P50, best across providers

Latency

0.12s

P50, best provider

Latency / throughput

AutoExacto benchmarks

GPQA DiamondTAU-BenchDeepInfra80.1%--SiliconFlow77.6%80.7%Parasail78.7%--Together78.1%75.3%auto-routing76.4%75.0%

+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)

99.44%

Availability over the last 3 days

Last 72 hours

Availability 99.44%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

99.62%

Without Routing

90.82%

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: Qwen3.5-9B (Artificial Analysis)
Source	Benchmark	Score
Artificial Analysis	Qwen3.5 9B (Reasoning) Coding Index	28.7
Artificial Analysis	Qwen3.5 9B (Reasoning) Agentic Index	1.2
Artificial Analysis	Qwen3.5 9B (Reasoning) GPQA Diamond	80.6%
Artificial Analysis	Qwen3.5 9B (Reasoning) HLE	14.9%
Artificial Analysis	Qwen3.5 9B (Reasoning) IFBench	66.7%
Artificial Analysis	Qwen3.5 9B (Reasoning) τ²-Bench Telecom	86.8%
Artificial Analysis	Qwen3.5 9B (Reasoning) AA-LCR	70.0%
Artificial Analysis	Qwen3.5 9B (Reasoning) τ-Bench Banking	7.0%
Artificial Analysis	Qwen3.5 9B (Reasoning) GDPval-AA	0.0%
Artificial Analysis	Qwen3.5 9B (Reasoning) CritPt	0.3%
Artificial Analysis	Qwen3.5 9B (Reasoning) SciCode	29.5%
Artificial Analysis	Qwen3.5 9B (Reasoning) Terminal-Bench Hard	24.2%
Artificial Analysis	Qwen3.5 9B (Reasoning) Terminal-Bench 4.0	0.5%
Artificial Analysis	Qwen3.5 9B (Reasoning) Terminal-Bench 2.1	29.2%
Artificial Analysis	Qwen3.5 9B (Non-reasoning) Coding Index	23.5
Artificial Analysis	Qwen3.5 9B (Non-reasoning) GPQA Diamond	78.6%
Artificial Analysis	Qwen3.5 9B (Non-reasoning) HLE	9.4%
Artificial Analysis	Qwen3.5 9B (Non-reasoning) IFBench	37.8%
Artificial Analysis	Qwen3.5 9B (Non-reasoning) τ²-Bench Telecom	85.1%
Artificial Analysis	Qwen3.5 9B (Non-reasoning) AA-LCR	46.0%
Artificial Analysis	Qwen3.5 9B (Non-reasoning) CritPt	0.6%
Artificial Analysis	Qwen3.5 9B (Non-reasoning) Terminal-Bench Hard	18.2%
Artificial Analysis	Qwen3.5 9B (Non-reasoning) Terminal-Bench 2.1	21.3%

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.

Checks Gateway

new

9.42Btokens

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.

7.25Btokens

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.

1.43Btokens

Synthero external prompt run

new

596Mtokens

There are many coding agents, but this one is yours.

594Mtokens

Rest of OpenRouter

6.28B

Top 5 Apps

847M

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

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Providers