Ember-1 vs IBM Granite 4.2 8B
Ember-1 leads the LLM Stats Score 43.1 to 19.6. IBM Granite 4.2 8B is 55.8x cheaper per token.
Fireworks AI · IBM · Updated for 2026
Which is better?
Ember-1 leads the overall LLM Stats Score 43.1 to 19.6, ranking #51 overall.
In the 2 individual benchmarks reported for both models, Ember-1 wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, IBM Granite 4.2 8B is roughly 55.8x 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 coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 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 IBM Granite 4.2 8B
- cost matters — it's about 55.8x cheaper per token
- you need open weights you can self-host or fine-tune
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 · 18 for IBM Granite 4.2 8B
Ember-1 outperforms in 2 benchmarks (SWE-Bench Verified, Terminal-Bench 2.1), while IBM Granite 4.2 8B 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 50.0x more expensive than IBM Granite 4.2 8B ($0.06/1M tokens).
For output processing, Ember-1 ($15.00/1M tokens) is 60.0x more expensive than IBM Granite 4.2 8B ($0.25/1M tokens).
In conclusion, Ember-1 is more expensive than IBM Granite 4.2 8B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Ember-1 has 2772.0B more parameters than IBM Granite 4.2 8B, making it 34650.0% larger.
Context Window
Maximum input and output token capacity
Ember-1 accepts 1,040,000 input tokens compared to IBM Granite 4.2 8B's 131,072 tokens. Only IBM Granite 4.2 8B specifies output context (131,072 tokens).
License
Usage and distribution terms
Ember-1 is licensed under a proprietary license, while IBM Granite 4.2 8B 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 IBM Granite 4.2 8B was released on 2026-08-25.
Ember-1 is 1 month newer than IBM Granite 4.2 8B.
Sep 23, 2026
2 weeks ago
4w newerAug 25, 2026
1 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. IBM Granite 4.2 8B is available from DeepInfra.
Ember-1
IBM Granite 4.2 8B
Outputs Comparison
Judge for yourself.
Run your own prompts against Ember-1 and IBM Granite 4.2 8B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ember-1 vs IBM Granite 4.2 8B.