Ember-1 vs Qwen3.7-Plus
Ember-1 and Qwen3.7-Plus are closely matched at 43.1 and 42.3 on the LLM Stats Score. Qwen3.7-Plus is 10.7x cheaper per token.
Fireworks AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Ember-1 and Qwen3.7-Plus are closely matched on the overall LLM Stats Score at 43.1 and 42.3.
In the 1 individual benchmarks reported for both models, Ember-1 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3.7-Plus is roughly 10.7x 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
- your work emphasizes coding and agents — 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 1,040,000 token context window
- you want the most recent training data — it shipped Sep 2026
Choose Qwen3.7-Plus
- cost matters — it's about 10.7x cheaper per token
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
4 reported for Ember-1 · 70 for Qwen3.7-Plus
Ember-1 outperforms in 1 benchmarks (SWE-Bench Verified), while Qwen3.7-Plus is better at 0 benchmarks.
Ember-1 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, Ember-1 ($3.00/1M tokens) is 9.4x more expensive than Qwen3.7-Plus ($0.32/1M tokens).
For output processing, Ember-1 ($15.00/1M tokens) is 11.7x more expensive than Qwen3.7-Plus ($1.28/1M tokens).
In conclusion, Ember-1 is more expensive than Qwen3.7-Plus.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Ember-1 accepts 1,040,000 input tokens compared to Qwen3.7-Plus's 1,000,000 tokens. Only Qwen3.7-Plus specifies output context (65,536 tokens).
Input capabilities
Documented input modalities across available providers
Qwen3.7-Plus supports multimodal inputs, whereas Ember-1 does not.
Qwen3.7-Plus can handle both text and other forms of data like images, making it suitable for multimodal applications.
Ember-1
Qwen3.7-Plus
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Ember-1 was released on 2026-09-23, while Qwen3.7-Plus was released on 2026-05-31.
Ember-1 is 4 months newer than Qwen3.7-Plus.
Sep 23, 2026
2 weeks ago
3mo newerMay 31, 2026
4 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Ember-1 is available from Fireworks. Qwen3.7-Plus is available from Together, Fireworks.
Ember-1
Qwen3.7-Plus
Outputs Comparison
Judge for yourself.
Run your own prompts against Ember-1 and Qwen3.7-Plus side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ember-1 vs Qwen3.7-Plus.