Ember-1 vs Kimi K3
Ember-1 and Kimi K3 are closely matched at 43.1 and 52.1 on the LLM Stats Score. Kimi K3 is 1.1x cheaper per token.
Fireworks AI · Moonshot AI · Updated for 2026
Which is better?
Ember-1 and Kimi K3 are closely matched on the overall LLM Stats Score at 43.1 and 52.1.
The models split the 2 individual benchmarks reported for both models evenly.
On price, Kimi K3 is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Kimi K3 also accepts a larger context window (1,048,576 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 want the most recent training data — it shipped Sep 2026
Choose Kimi K3
- your work emphasizes reasoning — it leads those capability indexes
- cost matters — it's about 1.1x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- 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 · 31 for Kimi K3
Ember-1 outperforms in 1 benchmarks (DeepSWE 1.1), while Kimi K3 is better at 1 benchmark (Terminal-Bench 2.1).
Both models are evenly matched across the 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 1.1x more expensive than Kimi K3 ($2.85/1M tokens).
For output processing, Ember-1 ($15.00/1M tokens) is 1.1x more expensive than Kimi K3 ($14.25/1M tokens).
In conclusion, Ember-1 is more expensive than Kimi K3.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Kimi K3 has 20.0B more parameters than Ember-1, making it 0.7% larger.
Context Window
Maximum input and output token capacity
Kimi K3 accepts 1,048,576 input tokens compared to Ember-1's 1,040,000 tokens. Only Kimi K3 specifies output context (1,048,576 tokens).
Input capabilities
Documented input modalities across available providers
Kimi K3 supports multimodal inputs, whereas Ember-1 does not.
Kimi K3 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Ember-1
Kimi K3
License
Usage and distribution terms
Ember-1 is licensed under a proprietary license, while Kimi K3 uses Kimi K3 License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Kimi K3 License
Open weights
Release Timeline
When each model was launched
Ember-1 was released on 2026-09-23, while Kimi K3 was released on 2026-07-16.
Ember-1 is 2 months newer than Kimi K3.
Sep 23, 2026
2 weeks ago
2mo newerJul 16, 2026
2 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. Kimi K3 is available from DeepInfra, Fireworks, Moonshot AI, Novita, Together.
Ember-1
Kimi K3
Outputs Comparison
Judge for yourself.
Run your own prompts against Ember-1 and Kimi K3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ember-1 vs Kimi K3.