How much does Qwen3.5-122B-A10B cost?

Qwen3.5-122B-A10B costs $0.26/M input tokens and $2.08/M output tokens.

What is the context length of Qwen3.5-122B-A10B?

Qwen3.5-122B-A10B has a 262,144 token context window. It supports up to 262,144 completion tokens.

Does Qwen3.5-122B-A10B support tool calling and structured outputs?

Yes. Qwen3.5-122B-A10B accepts tools and tool_choice for function calling on 3 of the 4 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 Qwen3.5-122B-A10B support?

Qwen3.5-122B-A10B accepts text, images, and video as input and returns text.

Which providers serve Qwen3.5-122B-A10B?

Qwen3.5-122B-A10B is served by 4 providers on OpenRouter: SiliconFlow, Alibaba Cloud Int., AtlasCloud, and NovitaAI. 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 Qwen3.5-122B-A10B released?

Qwen3.5-122B-A10B was released on February 25, 2026.

Qwen: Qwen3.5-122B-A10B

qwen/qwen3.5-122b-a10b

Model weights

Compare

The Qwen3.5 122B-A10B 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. In terms of overall performance, this model is second only to Qwen3.5-397B-A17B. Its text capabilities significantly outperform those of Qwen3-235B-2507, and its visual capabilities surpass those of Qwen3-VL-235B.

Modalities

In / out price

$0.26 / $2.08per 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


$0.26	$2.08	--	0.52s	134 tok/s	98.61%
$0.26	$2.08	--	0.70s	118 tok/s	100.00%
$0.40	$3.20	--	2.47s	59 tok/s	99.50%
$0.30	$2.40	$0.30	2.25s	27 tok/s	91.94%

Input $0.26Output $2.08
134 tok/s98.61% uptime
Input $0.26Output $2.08
118 tok/s100.00% uptime
Input $0.40Output $3.20
59 tok/s99.50% uptime
Input $0.30Output $2.40
27 tok/s91.94% 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

$0.302/M tokens

Output

$2.443/M tokens

Qwen3.5-122B-A10B — Price history

Price history

No effective price data for this selection

$0.260	$2.08	0.0%	4.4%
$0.260	$2.08	0.0%	44.1%
$0.300	$2.40	0.0%	29.7%
$0.400	$3.20	0.0%	21.8%

Effective in $0.260Effective out $2.08
Token share
4.4%
Effective in $0.260Effective out $2.08
Token share
44.1%
Effective in $0.300Effective out $2.40
Token share
29.7%
Effective in $0.400Effective out $3.20
Token share
21.8%

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

134tok/s

P50, best across providers

Latency

0.52s

P50, best provider

Latency / throughput

AutoExacto benchmarks

GPQA DiamondTAU-BenchSiliconFlow84.3%--NovitaAI84.6%80.1%auto-routing85.2%78.1%AtlasCloud85.1%77.2%Alibaba Cloud Int.85.7%68.5%

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)

98.13%

Availability over the last 3 days

Last 72 hours

Availability 98.13%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

99.62%

Without Routing

97.56%

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: Qwen3.5-122B-A10B (Artificial Analysis)
Source	Benchmark	Score
Artificial Analysis	Qwen3.5 122B A10B (Reasoning) Coding Index	45.7
Artificial Analysis	Qwen3.5 122B A10B (Reasoning) Agentic Index	7.6
Artificial Analysis	Qwen3.5 122B A10B (Reasoning) GPQA Diamond	85.7%
Artificial Analysis	Qwen3.5 122B A10B (Reasoning) HLE	25.2%
Artificial Analysis	Qwen3.5 122B A10B (Reasoning) IFBench	75.7%
Artificial Analysis	Qwen3.5 122B A10B (Reasoning) τ²-Bench Telecom	93.6%
Artificial Analysis	Qwen3.5 122B A10B (Reasoning) AA-LCR	76.3%
Artificial Analysis	Qwen3.5 122B A10B (Reasoning) τ-Bench Banking	15.3%
Artificial Analysis	Qwen3.5 122B A10B (Reasoning) GDPval-AA	16.1%
Artificial Analysis	Qwen3.5 122B A10B (Reasoning) CritPt	0.6%
Artificial Analysis	Qwen3.5 122B A10B (Reasoning) SciCode	39.7%
Artificial Analysis	Qwen3.5 122B A10B (Reasoning) Terminal-Bench Hard	31.1%
Artificial Analysis	Qwen3.5 122B A10B (Reasoning) Terminal-Bench 4.0	0.0%
Artificial Analysis	Qwen3.5 122B A10B (Reasoning) Terminal-Bench 2.1	47.6%
Artificial Analysis	Qwen3.5 122B A10B (Non-reasoning) Coding Index	43.3
Artificial Analysis	Qwen3.5 122B A10B (Non-reasoning) GPQA Diamond	82.7%
Artificial Analysis	Qwen3.5 122B A10B (Non-reasoning) HLE	15.9%
Artificial Analysis	Qwen3.5 122B A10B (Non-reasoning) IFBench	50.8%
Artificial Analysis	Qwen3.5 122B A10B (Non-reasoning) τ²-Bench Telecom	84.5%
Artificial Analysis	Qwen3.5 122B A10B (Non-reasoning) AA-LCR	61.3%
Artificial Analysis	Qwen3.5 122B A10B (Non-reasoning) τ-Bench Banking	10.3%
Artificial Analysis	Qwen3.5 122B A10B (Non-reasoning) GDPval-AA	10.8%
Artificial Analysis	Qwen3.5 122B A10B (Non-reasoning) CritPt	0.9%
Artificial Analysis	Qwen3.5 122B A10B (Non-reasoning) Terminal-Bench Hard	29.5%
Artificial Analysis	Qwen3.5 122B A10B (Non-reasoning) Terminal-Bench 2.1	47.2%

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.

group-behavior

new

761Mtokens

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

666Mtokens

Aether LLM

new

495Mtokens

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.

407Mtokens

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.

274Mtokens

Rest of OpenRouter

610M

Top 5 Apps

119M

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

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Qwen: Qwen3.5-122B-A10B

Providers