Ember-1 vs Pixtral Large
Ember-1 leads the LLM Stats Score 43.6 to 11.8. Pixtral Large is 2.0x cheaper per token.
Fireworks AI · Mistral AI · Updated for 2026
Which is better?
Ember-1 leads the overall LLM Stats Score 43.6 to 11.8, ranking #46 overall.
On price, Pixtral Large is roughly 2.0x 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 43.6 and ranks #46 on LLM Stats
- your work emphasizes reasoning — 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 Pixtral Large
- cost matters — it's about 2.0x 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 Pixtral Large
Ember-1 and Pixtral Largedon'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 1.5x more expensive than Pixtral Large ($2.00/1M tokens).
For output processing, Ember-1 ($15.00/1M tokens) is 2.5x more expensive than Pixtral Large ($6.00/1M tokens).
In conclusion, Ember-1 is more expensive than Pixtral Large.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Ember-1 has 2656.0B more parameters than Pixtral Large, making it 2141.9% larger.
Context Window
Maximum input and output token capacity
Ember-1 accepts 1,040,000 input tokens compared to Pixtral Large's 128,000 tokens. Only Pixtral Large specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Pixtral Large supports multimodal inputs, whereas Ember-1 does not.
Pixtral Large can handle both text and other forms of data like images, making it suitable for multimodal applications.
Ember-1
Pixtral Large
License
Usage and distribution terms
Ember-1 is licensed under a proprietary license, while Pixtral Large uses Mistral Research License (MRL) for research; Mistral Commercial License for commercial use.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Mistral Research License (MRL) for research; Mistral Commercial License for commercial use
Open weights
Release Timeline
When each model was launched
Ember-1 was released on 2026-09-23, while Pixtral Large was released on 2024-11-18.
Ember-1 is 22 months newer than Pixtral Large.
Sep 23, 2026
2 weeks ago
1.8yr newerNov 18, 2024
1.9 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. Pixtral Large is available from Mistral AI.
Ember-1
Pixtral Large
Outputs Comparison
Judge for yourself.
Run your own prompts against Ember-1 and Pixtral Large side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ember-1 vs Pixtral Large.