Qwen3.8 Flash vs QwQ-32B-Preview
Qwen3.8 Flash leads the LLM Stats Score 49.6 to 9.3. QwQ-32B-Preview is 1.4x cheaper per token.
Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3.8 Flash leads the overall LLM Stats Score 49.6 to 9.3, ranking #16 overall.
In the 1 individual benchmarks reported for both models, Qwen3.8 Flash wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, QwQ-32B-Preview is roughly 1.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3.8 Flash also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Qwen3.8 Flash
- overall performance matters — it scores 49.6 and ranks #16 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Aug 2026
Choose QwQ-32B-Preview
- cost matters — it's about 1.4x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
22 reported for Qwen3.8 Flash · 4 for QwQ-32B-Preview
Qwen3.8 Flash outperforms in 1 benchmarks (GPQA), while QwQ-32B-Preview is better at 0 benchmarks.
Qwen3.8 Flash significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Qwen3.8 Flash ($0.15/1M tokens) costs the same as QwQ-32B-Preview ($0.15/1M tokens).
For output processing, Qwen3.8 Flash ($0.47/1M tokens) is 2.3x more expensive than QwQ-32B-Preview ($0.20/1M tokens).
In conclusion, Qwen3.8 Flash is more expensive than QwQ-32B-Preview.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen3.8 Flash has 92.5B more parameters than QwQ-32B-Preview, making it 284.6% larger.
Context Window
Maximum input and output token capacity
Qwen3.8 Flash accepts 1,000,000 input tokens compared to QwQ-32B-Preview's 32,768 tokens. Qwen3.8 Flash can generate longer responses up to 131,072 tokens, while QwQ-32B-Preview is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
Qwen3.8 Flash supports multimodal inputs, whereas QwQ-32B-Preview does not.
Qwen3.8 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
Qwen3.8 Flash
QwQ-32B-Preview
License
Usage and distribution terms
Qwen3.8 Flash is licensed under a proprietary license, while QwQ-32B-Preview uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Qwen3.8 Flash was released on 2026-08-26, while QwQ-32B-Preview was released on 2024-11-28.
Qwen3.8 Flash is 21 months newer than QwQ-32B-Preview.
Aug 26, 2026
4 days ago
1.7yr newerNov 28, 2024
1.8 years ago
Knowledge Cutoff
When training data ends
QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while Qwen3.8 Flash's cutoff date is not specified.
We can confirm QwQ-32B-Preview's training data extends to 2024-11-28, but cannot make a direct comparison without Qwen3.8 Flash's cutoff date.
—
Nov 2024
Provider Availability
Qwen3.8 Flash is available from Novita. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.
Qwen3.8 Flash
QwQ-32B-Preview
Outputs Comparison
Judge for yourself.
Run your own prompts against Qwen3.8 Flash and QwQ-32B-Preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about Qwen3.8 Flash vs QwQ-32B-Preview.