Qwen3.5 4B (Reasoning)
Analysis Summary
Qwen3.5 4B Reasoning is a compact Alibaba model designed to add reasoning behaviour at very low token prices. Its measured instruction-following, long-context, and tool-oriented results are useful for its size, while the coding index and general intelligence measure remain limited. No modality or function-calling details are supplied.
It is a practical candidate for SEO outlines, keyword grouping, content classification, extraction, and other structured tasks where throughput and cost matter. The model can support preliminary analysis, but complex strategy, polished client copy, and software engineering require review or escalation. Design for Online would test it in high-volume workflow stages and use it as a routing or drafting layer, not as the sole model for high-stakes autonomous work.
Assessed August 9, 2026
Editorial notes
Qwen3.5 4B Reasoning offers unusually low pricing with useful instruction following, tool-oriented performance, and long-context results for its size. Its coding and general reasoning capability limit it to lightweight, reviewed workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Qwen3.5 4B Reasoning offers unusually low pricing with useful instruction following, tool-oriented performance, and long-context results for its size. Its coding and general reasoning capability limit it to lightweight, reviewed workflows.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
20.4 Intelligence Index·22.6 Coding Index
How Qwen3.5 4B (Reasoning) compares
Qwen3.5 4B (Reasoning) ranks #178 of 433 AI models we track for overall intelligence, #136 of 206 for coding. At $0.03 per million input tokens it is cheaper than 79% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.03 | $0.000030 |
| Output | $0.15 | $0.000150 |
What would Qwen3.5 4B (Reasoning) cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 748 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Qwen3.5 4B (Reasoning) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamFrequently asked questions about Qwen3.5 4B (Reasoning)
How much does Qwen3.5 4B (Reasoning) cost?
Qwen3.5 4B (Reasoning) costs $0.03 per million input tokens and $0.15 per million output tokens.
Is Qwen3.5 4B (Reasoning) good for coding?
On our coding benchmark index, Qwen3.5 4B (Reasoning) ranks #136 of 206 models, placing it in the broader range of the field for code generation and debugging.
Who created Qwen3.5 4B (Reasoning)?
Qwen3.5 4B (Reasoning) is developed by Alibaba and was released on March 2, 2026.