Ember-1 vs Mistral Large 4
Ember-1 and Mistral Large 4 are closely matched at 43.6 and 46.4 on the LLM Stats Score. Mistral Large 4 is 5.8x cheaper per token.
Fireworks AI · Mistral AI · Updated for 2026
Which is better?
Ember-1 and Mistral Large 4 are closely matched on the overall LLM Stats Score at 43.6 and 46.4.
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, Mistral Large 4 is roughly 5.8x 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
- 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
Choose Mistral Large 4
- cost matters — it's about 5.8x cheaper per token
- you want the most recent training data — it shipped Oct 2026
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 · 15 for Mistral Large 4
Ember-1 outperforms in 1 benchmarks (DeepSWE 1.1), while Mistral Large 4 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 4.4x more expensive than Mistral Large 4 ($0.68/1M tokens).
For output processing, Ember-1 ($15.00/1M tokens) is 7.2x more expensive than Mistral Large 4 ($2.09/1M tokens).
In conclusion, Ember-1 is more expensive than Mistral Large 4.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Ember-1 has 1730.0B more parameters than Mistral Large 4, making it 164.8% larger.
Context Window
Maximum input and output token capacity
Ember-1 accepts 1,040,000 input tokens compared to Mistral Large 4's 1,000,000 tokens.
Input capabilities
Documented input modalities across available providers
Mistral Large 4 supports multimodal inputs, whereas Ember-1 does not.
Mistral Large 4 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Ember-1
Mistral Large 4
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 Mistral Large 4 was released on 2026-10-06.
Mistral Large 4 is 0 month newer than Ember-1.
Sep 23, 2026
2 weeks ago
Oct 6, 2026
1 days ago
1w newerKnowledge 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. Mistral Large 4 is available from Mistral AI.
Ember-1
Mistral Large 4
Outputs Comparison
Judge for yourself.
Run your own prompts against Ember-1 and Mistral Large 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ember-1 vs Mistral Large 4.