Ember-1 vs Qwen3.7 Max
Ember-1 and Qwen3.7 Max are closely matched at 43.1 and 45.2 on the LLM Stats Score. Qwen3.7 Max is 3.2x cheaper per token.
Fireworks AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Ember-1 and Qwen3.7 Max are closely matched on the overall LLM Stats Score at 43.1 and 45.2.
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 Max is roughly 3.2x 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
- 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 Max
- cost matters — it's about 3.2x 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 · 42 for Qwen3.7 Max
Ember-1 outperforms in 1 benchmarks (SWE-Bench Verified), while Qwen3.7 Max 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 2.4x more expensive than Qwen3.7 Max ($1.25/1M tokens).
For output processing, Ember-1 ($15.00/1M tokens) is 4.0x more expensive than Qwen3.7 Max ($3.75/1M tokens).
In conclusion, Ember-1 is more expensive than Qwen3.7 Max.*
* 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 Max's 1,000,000 tokens. Only Qwen3.7 Max specifies output context (65,536 tokens).
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 Max was released on 2026-05-19.
Ember-1 is 4 months newer than Qwen3.7 Max.
Sep 23, 2026
2 weeks ago
4mo newerMay 19, 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 Max is available from Novita, DeepInfra, Together.
Ember-1
Qwen3.7 Max
Outputs Comparison
Judge for yourself.
Run your own prompts against Ember-1 and Qwen3.7 Max side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ember-1 vs Qwen3.7 Max.