LLM Reference

Qwen3.5-27B

Released
2026-02-24
Last refreshed
2026-06-29
Status
Researched 113d ago
Open sourceCommercial use: permittedMultimodalCodingRAGAgentsLong contextVisionClassificationJSON / Tool use

Qwen3.5-27B is worth evaluating for coding, rag, and agents when its provider route and context window match the workload.

Use it for

  • Teams evaluating coding, rag, and agents
  • Workloads that can use a 262k context window
  • Buyers comparing 4 tracked provider routes

Do not use it for

  • Workloads where another current model has stronger sourced task evidence
Specifications
Family
Qwen3.5
Released
2026-02-24
Context
262k
Parameters
27B
Architecture
Decoder Only
Openness
Open source
License
Apache 2.0OSI-approvedCommercial use: permitted
Weights
Available
Code
Unknown
Created by

AI research institute of Alibaba Group.

Hangzhou, Zhejiang, China
Founded 2017
Website
Pricing
Output / 1M
$1.56
Input / 1M
$0.195

Cheapest of 4 routes · Alibaba Cloud PAI-EAS

About

Open-weight dense 27B multimodal Qwen3.5 model with native vision-language support. Apache 2.0.

Top use-case fit: coding, agents, and build tasks

Coding

Q/$ C

2 relevant benchmarks in the decision map.

RAG

Included by capability and metadata signals in the decision map.

Agents

Q/$ B

3 relevant benchmarks in the decision map.

Provider price ladder

Compare all 4

Compare API pricing across 4 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
Alibaba Cloud PAI-EAS$0.195$1.56
Serverless
OpenRouter$0.195$1.56
Serverless
Novita AI$0.300$2.40
Serverless
DeepInfra$0.260$2.60
Serverless

Capabilities

VisionMultimodalReasoningJSON / Tool useStructured Outputs

Benchmark peer barsfor Coding

Benchmark scores(9)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionEvaluationSource
Google-Proof Q&A85.8diamondObserved 2026-04-18Source
MMMU Pro75.0LLM-Stats aggregatorObserved 2026-06-07Source
SWE-rebench58.9pass@1 (best of 5 runs)Observed 2026-05-28Source
Berkeley Function Calling Leaderboard v368.5BFCL-V4 (newest BFCL version), from official model card (accuracy)Observed 2026-06-07Source
Humanity's Last Exam24.3HLE with CoT (no tools), from official model card (accuracy)Observed 2026-06-07Source
LiveCodeBench80.7LiveCodeBench v6 (pass@1)Observed 2026-06-07Source
MMLU PRO86.1From official HuggingFace model card benchmark table (accuracy)Observed 2026-06-07Source
SWE-bench Verified72.4From official model card (resolved)Observed 2026-06-07Source
τ-bench79.0TAU2-Bench, from official model card (accuracy)Observed 2026-06-07Source

Migration checks

No linked migration route is available for this model yet.

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