Ember-1 vs QwQ-32B-Preview
Ember-1 leads the LLM Stats Score 43.6 to 9.0. QwQ-32B-Preview is 36.9x cheaper per token.
Fireworks AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Ember-1 leads the overall LLM Stats Score 43.6 to 9.0, ranking #46 overall.
On price, QwQ-32B-Preview is roughly 36.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Ember-1 also accepts a larger context window (1,040,000 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 Ember-1
- overall performance matters — it scores 43.6 and ranks #46 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 1,040,000 token context window
- you want the most recent training data — it shipped Sep 2026
Choose QwQ-32B-Preview
- cost matters — it's about 36.9x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
4 reported for Ember-1 · 4 for QwQ-32B-Preview
Ember-1 and QwQ-32B-Previewdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Ember-1 ($3.00/1M tokens) is 20.0x more expensive than QwQ-32B-Preview ($0.15/1M tokens).
For output processing, Ember-1 ($15.00/1M tokens) is 75.0x more expensive than QwQ-32B-Preview ($0.20/1M tokens).
In conclusion, Ember-1 is more expensive than QwQ-32B-Preview.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Ember-1 has 2747.5B more parameters than QwQ-32B-Preview, making it 8453.8% larger.
Context Window
Maximum input and output token capacity
Ember-1 accepts 1,040,000 input tokens compared to QwQ-32B-Preview's 32,768 tokens. Only QwQ-32B-Preview specifies output context (32,768 tokens).
License
Usage and distribution terms
Ember-1 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
Ember-1 was released on 2026-09-23, while QwQ-32B-Preview was released on 2024-11-28.
Ember-1 is 22 months newer than QwQ-32B-Preview.
Sep 23, 2026
2 weeks ago
1.8yr newerNov 28, 2024
1.9 years ago
Knowledge Cutoff
When training data ends
QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while Ember-1'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 Ember-1's cutoff date.
—
Nov 2024
Provider Availability
Ember-1 is available from Fireworks. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.
Ember-1
QwQ-32B-Preview
Outputs Comparison
Judge for yourself.
Run your own prompts against Ember-1 and QwQ-32B-Preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ember-1 vs QwQ-32B-Preview.