Qwen3.5-35B-A3B
Qwen3.5-35B-A3B 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 2 tracked provider routes
Do not use it for
- Vision or document-understanding workloads
- Family
- Qwen3.5
- Released
- 2026-02-24
- Context
- 262k
- Parameters
- 35B
- Architecture
- Mixture of Experts
- Openness
- Open source
- License
- Apache 2.0OSI-approvedCommercial use: permitted
- Weights
- Available
- Code
- Unknown
Cheapest of 2 routes · OpenRouter
About
Alibaba's Qwen3.5-35B-A3B is a Mixture-of-Experts model released February 24, 2026, with 35B total parameters and 3B active during inference. Part of the Qwen3.5 series with a 262K native context window (extendable to ~1M tokens). Optimized for high inference throughput (78+ tokens/second on NVIDIA hardware). Open-source under Apache 2.0.
Qwen3.5-35B-A3B is an open-source model in the Qwen3.5 family. The structured metadata tracks a 262k-token context window, reasoning, function calling, tool use, and structured outputs. This page tracks provider routes through OpenRouter and Novita AI, with the cheapest tracked route listed at $0.139 input and $1 output per 1M tokens. Headline tracked benchmarks include Google-Proof Q&A 84.5, MMMU Pro 75.1, and SWE-rebench 53.7.
Top use-case fit: coding, agents, and build tasks
Coding
Q/$ C2 relevant benchmarks in the decision map.
RAG
Included by capability and metadata signals in the decision map.
Agents
Q/$ B3 relevant benchmarks in the decision map.
Provider price ladder
Compare all 2Compare API pricing across 2 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| OpenRouter | $0.139 | $1.00 | Serverless |
| Novita AI | $0.250 | $2.00 | Serverless |
Capabilities
Benchmark peer barsfor Coding
Benchmark scores(9)
| Benchmark | Score | Version | Source |
|---|---|---|---|
| Google-Proof Q&A | 84.5 | diamond | https://pricepertoken.com/leaderboards/benchmark/gpqa |
| MMMU Pro | 75.1 | LLM-Stats aggregator | https://llm-stats.com/benchmarks/mmmu-pro |
| SWE-rebench | 53.7 | pass@1 (best of 5 runs) | https://swe-rebench.com/leaderboard |
| Berkeley Function Calling Leaderboard v3 | 67.3 | BFCL-V4, from official model card (accuracy) | https://huggingface.co/Qwen/Qwen3.5-35B-A3B |
| Humanity's Last Exam | 22.4 | HLE with CoT, no tools, from official model card (accuracy) | https://huggingface.co/Qwen/Qwen3.5-35B-A3B |
| LiveCodeBench | 74.6 | LiveCodeBench v6 (pass@1) | https://huggingface.co/Qwen/Qwen3.5-35B-A3B |
| MMLU PRO | 85.3 | From official HuggingFace model card (accuracy) | https://huggingface.co/Qwen/Qwen3.5-35B-A3B |
| SWE-bench Verified | 69.2 | From official model card (resolved) | https://huggingface.co/Qwen/Qwen3.5-35B-A3B |
| τ-bench | 81.2 | TAU2-Bench, from official model card (accuracy) | https://huggingface.co/Qwen/Qwen3.5-35B-A3B |
Migration checks
No linked migration route is available for this model yet.
Rankings & picks(3)
Compare Qwen3.5-35B-A3B with other models
Comparison and alternatives
Browse all comparisons →Show all 20 popular comparisonssorted by 7-day search impressions
Frequently asked questions
What is the context window of Qwen3.5-35B-A3B?
Qwen3.5-35B-A3B has a context window of 262k tokens.
How much does Qwen3.5-35B-A3B cost?
Qwen3.5-35B-A3B pricing ranges from $0.139/1M to $0.25/1M input tokens depending on the provider.
When was Qwen3.5-35B-A3B released?
Qwen3.5-35B-A3B was released on 2026-02-24.
Which providers offer Qwen3.5-35B-A3B?
Qwen3.5-35B-A3B is available from 2 providers: OpenRouter, Novita AI.
What benchmarks has Qwen3.5-35B-A3B been tested on?
Qwen3.5-35B-A3B has been evaluated on 9 benchmarks, including Google-Proof Q&A, MMMU Pro, SWE-rebench, Berkeley Function Calling Leaderboard v3, Humanity's Last Exam.
Cheapest of 2 routes · OpenRouter