Qwen3 1.7B (Non-reasoning)

Qwen3 1.7B (Non-reasoning)

Alibaba · Released Apr 28, 2025 Professional
Intelligence #14 / 590
82.0 Our Score
Speed #75 / 279
138.6 tokens / sec
Input #224 / 592
$0.110 per 1M tokens
Output #250 / 592
$0.420 per 1M tokens
Context
— Not reported

Analysis Summary

Qwen3 1.7B (Non-reasoning) is the standard inference variant of Alibaba's 1.7B model, running without extended chain-of-thought. Compared to its reasoning sibling, math performance drops sharply (index 7.3 vs 38.7), though GPQA and MMLU-Pro remain similar, suggesting general language understanding is preserved.

For businesses, this variant is better suited to fast-response applications such as chatbots, content summarisation, or classification tasks where latency matters more than deep reasoning. The lower output price of $0.42 per million tokens makes it more cost-effective than the reasoning variant for high-volume, non-complex workloads.

Teams should not rely on this model for coding, agentic tasks, or analytical reasoning. It is a budget option for simple NLP pipelines, and its value is primarily in cost and speed rather than capability depth.

Assessed June 30, 2026

Editorial notes

Qwen3 1.7B in non-reasoning mode trades math depth for lower output cost at $0.42 per million tokens, suitable for fast, lightweight text tasks where reasoning chains are unnecessary.

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

Performance Profile

Intelligence0.9Technical2.4Value7Content2.3
Intelligence 0.9/10
Technical 2.4/10
Content 2.3/10
Value 7/10

How Qwen3 1.7B (Non-reasoning) compares

Qwen3 1.7B (Non-reasoning) ranks #374 of 385 AI models we track for overall intelligence, #172 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

1.5 Intelligence Index
21.6 Agentic Index
7.3 Math Index

Benchmark Scores

Intelligence

GPQA Diamond 28.3% Graduate-level scientific reasoning
HLE 5.2% Humanity's Last Exam
MMLU Pro 41.1% Multi-task language understanding
MATH 500 71.7% Mathematical problem-solving
AIME 9.7% Competition mathematics
AIME 2025 7.3% Competition mathematics (2025)
SciCode 6.9% Scientific computing

Technical

LiveCodeBench 12.6% Live coding evaluation
τ²-Bench 21.6% Conversational agent benchmark

Content

IFBench 21.1% Instruction following

Benchmark data from Artificial Analysis and Hugging Face

How does Qwen3 1.7B (Non-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 $0.42 $0.000420

Frequently asked questions about Qwen3 1.7B (Non-reasoning)

How much does Qwen3 1.7B (Non-reasoning) cost?

Qwen3 1.7B (Non-reasoning) costs $0.11 per million input tokens and $0.42 per million output tokens.

Who created Qwen3 1.7B (Non-reasoning)?

Qwen3 1.7B (Non-reasoning) is developed by Alibaba and was released on April 28, 2025.