Qwen3 1.7B (Reasoning)

Qwen3 1.7B (Reasoning)

Alibaba · Released Apr 28, 2025 Professional
Intelligence #14 / 590
82.0 Our Score
Speed #80 / 279
136.5 tokens / sec
Input #224 / 592
$0.110 per 1M tokens
Output #354 / 592
$1.26 per 1M tokens
Context
— Not reported

Analysis Summary

Qwen3 1.7B (Reasoning) is Alibaba's second-smallest Qwen3 model, and its reasoning-mode benchmarks are stronger than the 0.6B variant. A livecodebench score of 0.308 and MMLU-Pro of 0.570 suggest meaningful coding and general knowledge capability for a model of this size.

For businesses, it suits lightweight coding assistance, structured output generation, and simple agentic tasks where hosting cost or latency is a constraint. It is not a replacement for mid-size or large models in complex multi-step workflows, and its agentic index of 26 reflects limited reliability in tool-use chains.

Priced at $0.11 input and $1.26 output per million tokens, it is inexpensive in absolute terms. Teams exploring small-model deployment for edge inference or high-volume low-complexity tasks will find it a reasonable starting point.

Assessed June 30, 2026

Editorial notes

Qwen3 1.7B in reasoning mode delivers surprisingly strong math and coding performance for its size, with a livecodebench of 0.308 and GPQA of 0.356, making it a capable small model for constrained deployments.

Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?

Performance Profile

Intelligence1.3Technical3.2Value7Content3
Intelligence 1.3/10
Technical 3.2/10
Content 3/10
Value 7/10

How Qwen3 1.7B (Reasoning) compares

Qwen3 1.7B (Reasoning) ranks #361 of 385 AI models we track for overall intelligence, #158 of 293 for agentic tasks. At $0.11 per million input tokens it is cheaper than 62% of comparable models.

Performance Indices

Source: Artificial Analysis

2.6 Intelligence Index
26 Agentic Index
38.7 Math Index

Benchmark Scores

Intelligence

GPQA Diamond 35.6% Graduate-level scientific reasoning
HLE 4.8% Humanity's Last Exam
MMLU Pro 57% Multi-task language understanding
MATH 500 89.4% Mathematical problem-solving
AIME 51% Competition mathematics
AIME 2025 38.7% Competition mathematics (2025)
SciCode 4.3% Scientific computing

Technical

LiveCodeBench 30.8% Live coding evaluation
τ²-Bench 26% Conversational agent benchmark

Content

IFBench 26.9% Instruction following

Benchmark data from Artificial Analysis and Hugging Face

How does Qwen3 1.7B (Reasoning) stack up?

Compare side-by-side with other professional models.

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Model Information

ProviderAlibaba
Release Date April 28, 2025
Status Active

Pricing

Token Type Cost per 1M tokens Cost per 1K tokens
Input $0.11 $0.000110
Output $1.26 $0.001260

Frequently 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.