Ember-1 vs GPT OSS 120B High
Ember-1 leads the LLM Stats Score 43.1 to 25.4. GPT OSS 120B High is 30.0x cheaper per token.
Fireworks AI · OpenAI · Updated for 2026
Which is better?
Ember-1 leads the overall LLM Stats Score 43.1 to 25.4, ranking #51 overall.
On price, GPT OSS 120B High is roughly 30.0x 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 43.1 and ranks #51 on LLM Stats
- your work emphasizes reasoning and agents — 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 GPT OSS 120B High
- cost matters — it's about 30.0x 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 · 7 for GPT OSS 120B High
Ember-1 and GPT OSS 120B Highdon'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 30.0x more expensive than GPT OSS 120B High ($0.10/1M tokens).
For output processing, Ember-1 ($15.00/1M tokens) is 30.0x more expensive than GPT OSS 120B High ($0.50/1M tokens).
In conclusion, Ember-1 is more expensive than GPT OSS 120B High.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Ember-1 has 2663.2B more parameters than GPT OSS 120B High, making it 2280.1% larger.
Context Window
Maximum input and output token capacity
Ember-1 accepts 1,040,000 input tokens compared to GPT OSS 120B High's 131,072 tokens. Only GPT OSS 120B High specifies output context (131,072 tokens).
License
Usage and distribution terms
Ember-1 is licensed under a proprietary license, while GPT OSS 120B High 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 GPT OSS 120B High was released on 2025-08-05.
Ember-1 is 14 months newer than GPT OSS 120B High.
Sep 23, 2026
2 weeks ago
1.1yr newerAug 5, 2025
1.2 years 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. GPT OSS 120B High is available from OpenAI, Fireworks.
Ember-1
GPT OSS 120B High
Outputs Comparison
Judge for yourself.
Run your own prompts against Ember-1 and GPT OSS 120B High side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ember-1 vs GPT OSS 120B High.