Analysis Summary
Qwen3.5 0.8B Reasoning is a tiny Alibaba model with very low input and output prices. The reasoning variant shows a small improvement in the supplied agentic measure and includes basic evidence for instruction following and tool-oriented evaluation, but its general intelligence, knowledge, and long-context results remain minimal. No coding, modality, or function-calling details are supplied.
It may help with simple routing, short classification tasks, or constrained extraction where cost and throughput dominate. The reasoning label should not be treated as evidence of dependable complex analysis, and the model is unsuitable for client-facing content, software engineering, long documents, or autonomous agents. Design for Online would use it only as a narrowly tested pipeline component with strict output validation.
Assessed August 9, 2026
Editorial notes
Qwen3.5 0.8B Reasoning adds modest agentic and instruction-oriented capability at low cost, but its reasoning and long-context results remain minimal. It is suitable only for constrained automation with review.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Qwen3.5 0.8B Reasoning adds modest agentic and instruction-oriented capability at low cost, but its reasoning and long-context results remain minimal. It is suitable only for constrained automation with review.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
5.2 Intelligence Index·5.7 Agentic Index
How Qwen3.5 0.8B (Reasoning) compares
Qwen3.5 0.8B (Reasoning) ranks #355 of 428 AI models we track for overall intelligence, #201 of 201 for coding, #132 of 183 for agentic tasks. At $0.01 per million input tokens it is cheaper than 80% 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 | $0.01 | $0.000010 |
| Output | $0.05 | $0.000050 |
What would Qwen3.5 0.8B (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 718 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Qwen3.5 0.8B (Reasoning) for the hard ones. Most clients cut their estimate by 60-80%.
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Frequently asked questions about Qwen3.5 0.8B (Reasoning)
How much does Qwen3.5 0.8B (Reasoning) cost?
Qwen3.5 0.8B (Reasoning) costs $0.01 per million input tokens and $0.05 per million output tokens.
Is Qwen3.5 0.8B (Reasoning) good for coding?
On our coding benchmark index, Qwen3.5 0.8B (Reasoning) ranks #201 of 201 models, placing it in the broader range of the field for code generation and debugging.
Who created Qwen3.5 0.8B (Reasoning)?
Qwen3.5 0.8B (Reasoning) is developed by Alibaba and was released on March 2, 2026.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: August 26, 2026 8:38 pm