Qwen3 1.7B (Reasoning)
Analysis Summary
Qwen3 1.7B Reasoning is a small Alibaba model with measured results across mathematics, knowledge, coding, instruction following, and tool-oriented tasks. Those results show some useful narrow capability, but its overall intelligence remains limited for broad business reasoning.
It can support simple classification, formula-oriented tasks, short code suggestions, and structured extraction. It is not appropriate for autonomous agents, strategic analysis, polished client copy, or unsupervised answers where context and factual precision matter.
The low listed input price makes it suitable for high-volume preprocessing and routing. Use it with strict schemas, automated checks, and escalation for anything ambiguous or customer-facing.
Assessed August 9, 2026
Editorial notes
Qwen3 1.7B Reasoning offers low-cost mathematical and coding assistance for constrained tasks, but limited general intelligence and instruction-following performance rule it out for demanding client workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Qwen3 1.7B Reasoning offers low-cost mathematical and coding assistance for constrained tasks, but limited general intelligence and instruction-following performance rule it out for demanding client workflows.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
2.2 Intelligence Index·38.7 Math Index
How Qwen3 1.7B (Reasoning) compares
Qwen3 1.7B (Reasoning) ranks #408 of 433 AI models we track for overall intelligence. At $0.11 per million input tokens it is cheaper than 65% 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 | $0.11 | $0.000110 |
| Output | $1.26 | $0.001260 |
What would Qwen3 1.7B (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 1.7B (Reasoning) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamFrequently asked questions about Qwen3 1.7B (Reasoning)
How much does Qwen3 1.7B (Reasoning) cost?
Qwen3 1.7B (Reasoning) costs $0.11 per million input tokens and $1.26 per million output tokens.
Who created Qwen3 1.7B (Reasoning)?
Qwen3 1.7B (Reasoning) is developed by Alibaba and was released on April 28, 2025.