Ember-1 vs MiMo-V2.5-Pro
Ember-1 leads the LLM Stats Score 43.1 to 25.6. MiMo-V2.5-Pro is 11.0x cheaper per token.
Fireworks AI · Xiaomi · Updated for 2026
Which is better?
Ember-1 leads the overall LLM Stats Score 43.1 to 25.6, ranking #51 overall.
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, MiMo-V2.5-Pro is roughly 11.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiMo-V2.5-Pro 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
- 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 value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Sep 2026
Choose MiMo-V2.5-Pro
- cost matters — it's about 11.0x 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 MiMo-V2.5-Pro
Ember-1 outperforms in 1 benchmarks (SWE-Bench Verified), while MiMo-V2.5-Pro 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 6.9x more expensive than MiMo-V2.5-Pro ($0.43/1M tokens).
For output processing, Ember-1 ($15.00/1M tokens) is 17.2x more expensive than MiMo-V2.5-Pro ($0.87/1M tokens).
In conclusion, Ember-1 is more expensive than MiMo-V2.5-Pro.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Ember-1 has 1756.8B more parameters than MiMo-V2.5-Pro, making it 171.7% larger.
Context Window
Maximum input and output token capacity
MiMo-V2.5-Pro accepts 1,048,576 input tokens compared to Ember-1's 1,040,000 tokens. Only MiMo-V2.5-Pro specifies output context (131,072 tokens).
License
Usage and distribution terms
Ember-1 is licensed under a proprietary license, while MiMo-V2.5-Pro uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Ember-1 was released on 2026-09-23, while MiMo-V2.5-Pro was released on 2026-04-27.
Ember-1 is 5 months newer than MiMo-V2.5-Pro.
Sep 23, 2026
2 weeks ago
4mo newerApr 27, 2026
5 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. MiMo-V2.5-Pro is available from Xiaomi, DeepInfra, Novita.
Ember-1
MiMo-V2.5-Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against Ember-1 and MiMo-V2.5-Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ember-1 vs MiMo-V2.5-Pro.