Qwen3.5-122B-A10B vs Qwen3.6-27B

Qwen3.5-122B-A10B (2026) and Qwen3.6-27B (2026) compare a standalone API model against a coding-specialized model. Qwen3.5-122B-A10B ships a 262k-token context window, while Qwen3.6-27B ships a 262k-token context window. On MMLU PRO, Qwen3.5-122B-A10B leads by 0.5 pts. On pricing, Qwen3.5-122B-A10B costs $0.26/1M input tokens versus $0.32/1M for the alternative. This page treats the result as workflow and deployment fit, not a universal model winner.

Treat this as a product-type comparison: Qwen3.5-122B-A10B is standalone API model, while Qwen3.6-27B is coding-specialized model. Choose based on workflow fit before reading any benchmark or price row as decisive.

Decision scorecard

Local evidence first

Signal	Qwen3.5-122B-A10B	Qwen3.6-27B	How to read it
Product type	Standalone API model	Coding-specialized model	Read downstream rows through the product-type lens before comparing benchmarks, prices, or provider availability.
Best for	reasoning-heavy apps, multimodal apps, and tool-calling agents	custom coding agents, code generation, and tool loops	Use-case synthesis from product type, capability flags, context, and provider data.
Decision fit	Coding, RAG, and Agents	Coding, RAG, and Agents	Primary workload tags from local decision data.
Context window	262k	262k	Higher is better when prompts, retrieval chunks, or transcripts are large.
Cheapest output	$2.08/1M tokens	$3.20/1M tokens	Cheapest tracked provider route; verify your exact region and tier.
Provider routes	3 tracked	4 tracked	Broader coverage can reduce vendor lock-in and fallback risk.
Shared benchmarks	MMLU PRO leader	6 shared	Visible benchmark lead is 0.5 points on MMLU PRO.

Decision tradeoffs

Choose Qwen3.5-122B-A10B when...

Qwen3.5-122B-A10B holds a shared-benchmark lead on MMLU PRO, ahead by 0.5 points.
Qwen3.5-122B-A10B has the lower cheapest tracked output price at $2.08/1M tokens.
Qwen3.5-122B-A10B uniquely exposes Structured outputs in local model data.
Local decision data tags Qwen3.5-122B-A10B for Coding, RAG, and Agents.

Choose Qwen3.6-27B when...

Qwen3.6-27B holds a shared-benchmark lead on SWE-bench Verified, ahead by 5.2 points.
Qwen3.6-27B has broader tracked provider coverage for fallback and route flexibility.
Local decision data tags Qwen3.6-27B for Coding, RAG, and Agents.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Lower estimate Qwen3.5-122B-A10B

Requests / monthInput tokens / requestOutput tokens / request

Qwen3.5-122B-A10B

$728

Cheapest tracked route/tier: OpenRouter

Qwen3.6-27B

$1,056

Cheapest tracked route/tier: OpenRouter

Estimated monthly gap: $328. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Qwen3.5-122B-A10B -> Qwen3.6-27B

Provider overlap exists on OpenRouter, Alibaba Cloud PAI-EAS, and Novita AI; start route-level A/B tests there.
Qwen3.6-27B is $1.12/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
Check replacement coverage for Structured outputs before moving production traffic.

Qwen3.6-27B -> Qwen3.5-122B-A10B

Provider overlap exists on OpenRouter, Alibaba Cloud PAI-EAS, and Novita AI; start route-level A/B tests there.
Qwen3.5-122B-A10B is $1.12/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
Qwen3.5-122B-A10B adds Structured outputs in local capability data.

Specs

Specification	Qwen3.5-122B-A10B Alibaba	Qwen3.6-27B Alibaba
Released	2026-02-24	2026-04-27
Context window	262k	262k
Parameters	122B	27B
Architecture	Mixture of Experts	Decoder Only
License	Apache 2.0OSI-approved	Apache 2.0OSI-approved
Openness	Open source	Open source
Weights	Available	Available
Code	Unknown	Unknown
Commercial use	Commercial use: permitted	Commercial use: permitted
Knowledge cutoff	-	-

Pricing and availability

Pricing attribute	Qwen3.5-122B-A10B	Qwen3.6-27B
Input price	$0.26/1M tokens	$0.32/1M tokens
Output price	$2.08/1M tokens	$3.20/1M tokens
Providers	OpenRouter Alibaba Cloud PAI-EAS Novita AI	OpenRouter Alibaba Cloud PAI-EAS Vercel AI Gateway Novita AI

Capabilities

Capability	Qwen3.5-122B-A10B	Qwen3.6-27B
Vision	Yes	Yes
Multimodal	Yes	Yes
Reasoning	Yes	Yes
JSON / Tool use	Yes	Yes
Structured outputs	Yes	No
Code execution	No	No
IDE integration	No	No
Computer use	No	No
Parallel agents	No	No

Benchmarks

Benchmark	Qwen3.5-122B-A10B	Qwen3.6-27B
MMLU PRO	86.7	86.2
SWE-bench Verified	72.0	77.2
Google-Proof Q&A	85.7	87.8
LiveCodeBench	78.9	83.9
Humanity's Last Exam	25.3	24.0
MMMU Pro	76.9	75.8

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Model pages

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Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.

Both models

Qwen3.5-122B-A10B Qwen3.6-27B