Qwen: Qwen3.5-122B-A10B

Public pricingIntelligence 83/100Large memory비전심층 추론도구 활용

Qwen: Qwen3.5-122B-A10B은 비전-언어 이해에 맞춘 멀티모달 모델입니다. 멀티모달 입력 처리、이미지 이해, 262K tokens의 컨텍스트, 균형형 비용 특성을 결합해 image and video understanding에서 안정적인 작업을 돕습니다. 특히 지연, 비용, 처리량가 중요한 경우에 잘 맞으며, 안정적인 출력, 유연한 배포, 확장성을 중시하는 팀에 실용적입니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다.

Input

$0.26/1M

Output

$2.08/1M

Cached

$0.07/1M

Batch

$0.13/1M

Calculate your Qwen3.5-122B-A10B bill.

Set your workload — see cost at your exact volume.

What would Qwen3.5-122B-A10B cost you?

Adjust the workload to see your monthly bill.

Conversations per month50,000

1,00010,00050,000250,0001M10M

Input length

Output length

Repeated questions?

Replies can wait a few hours (batch discount)

Technical specifications

Qwen3.5-122B-A10B at a glance.

Memory

262,144

tokens

Max reply

65,536

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

qwen3

Released

Feb 2026

Training cutoff

Oct 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

mmlu_pro
86.7
gpqa_diamond
86.6
ifeval
93.4
swe_bench_verified
72
livecodebench
78.9

What it can do

Capabilities & limits.

Understands images
Deep step-by-step thinking
Uses tools / calls functions
Strict JSON output
Streams replies
Fine-tunable on your data

When to pick Qwen3.5-122B-A10B

Multi-step reasoning, research agents, or hard math.
Screenshot analysis, image understanding, or document OCR.
Agentic workflows that call tools or APIs.
Long documents, full codebases, or extensive chat histories.

When to look elsewhere

Very latency-sensitive, real-time apps where every millisecond counts.

Alternatives

Similar models to compare.

FAQ

Qwen3.5-122B-A10B — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Qwen3.5-122B-A10B costs roughly $103 per month. Input is $0.26 /1M tokens and output is $2.08 /1M tokens.

Qwen3.5-122B-A10B has a 262,144-token context window (large memory — an entire book or large codebase). That means you can fit about 49,152 words of input and history in a single call.

Beyond text generation, Qwen3.5-122B-A10B supports understanding images, deep step-by-step reasoning, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.

Qwen3.5-122B-A10B was released in February 2026, with training data cut off around October 2025.

Models in a similar class include Qwen Plus 0728 (thinking), Qwen-Plus, Qwen3.5 Plus 2026-02-15. The "Similar models" section below this FAQ links into each.

Still unsure?

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