Inkling 2 Small vs QwQ-32B-Preview
Inkling 2 Small leads the LLM Stats Score 47.2 to 8.4. QwQ-32B-Preview is 2.9x cheaper per token.
Thinking Machines Lab · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Inkling 2 Small leads the overall LLM Stats Score 47.2 to 8.4, ranking #40 overall.
In the 1 individual benchmarks reported for both models, Inkling 2 Small wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, QwQ-32B-Preview is roughly 2.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Inkling 2 Small also accepts a larger context window (256,000 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 Inkling 2 Small
- overall performance matters — it scores 47.2 and ranks #40 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 256,000 token context window
- you want the most recent training data — it shipped Nov 2026
Choose QwQ-32B-Preview
- cost matters — it's about 2.9x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
11 reported for Inkling 2 Small · 4 for QwQ-32B-Preview
Inkling 2 Small outperforms in 1 benchmarks (GPQA), while QwQ-32B-Preview is better at 0 benchmarks.
Inkling 2 Small 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, Inkling 2 Small ($0.30/1M tokens) is 2.0x more expensive than QwQ-32B-Preview ($0.15/1M tokens).
For output processing, Inkling 2 Small ($1.00/1M tokens) is 5.0x more expensive than QwQ-32B-Preview ($0.20/1M tokens).
In conclusion, Inkling 2 Small is more expensive than QwQ-32B-Preview.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Inkling 2 Small has 561.5B more parameters than QwQ-32B-Preview, making it 1727.7% larger.
Context Window
Maximum input and output token capacity
Inkling 2 Small accepts 256,000 input tokens compared to QwQ-32B-Preview's 32,768 tokens. Only QwQ-32B-Preview specifies output context (32,768 tokens).
Input capabilities
Documented input modalities across available providers
Inkling 2 Small supports multimodal inputs, whereas QwQ-32B-Preview does not.
Inkling 2 Small can handle both text and other forms of data like images, making it suitable for multimodal applications.
Inkling 2 Small
QwQ-32B-Preview
License
Usage and distribution terms
Inkling 2 Small 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
Inkling 2 Small was released on 2026-11-05, while QwQ-32B-Preview was released on 2024-11-28.
Inkling 2 Small is 24 months newer than QwQ-32B-Preview.
Nov 5, 2026
1 weeks ago
1.9yr newerNov 28, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while Inkling 2 Small'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 Inkling 2 Small's cutoff date.
—
Nov 2024
Provider Availability
Inkling 2 Small is available from Thinking Machines Lab. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.
Inkling 2 Small
QwQ-32B-Preview
Outputs Comparison
Judge for yourself.
Run your own prompts against Inkling 2 Small and QwQ-32B-Preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about Inkling 2 Small vs QwQ-32B-Preview.