Ember-1 vs LongCat-2.5
Ember-1 and LongCat-2.5 are closely matched at 42.5 and 49.7 on the LLM Stats Score. LongCat-2.5 is 11.4x cheaper per token.
Fireworks AI · Meituan · Updated for 2026
Which is better?
Ember-1 and LongCat-2.5 are closely matched on the overall LLM Stats Score at 42.5 and 49.7.
The models split the 2 individual benchmarks reported for both models evenly.
On price, LongCat-2.5 is roughly 11.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
LongCat-2.5 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 predictable pricing at $3.00/M input and $15.00/M output
Choose LongCat-2.5
- cost matters — it's about 11.4x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Nov 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 · 23 for LongCat-2.5
Ember-1 outperforms in 1 benchmarks (DeepSWE 1.1), while LongCat-2.5 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 10.0x more expensive than LongCat-2.5 ($0.30/1M tokens).
For output processing, Ember-1 ($15.00/1M tokens) is 12.5x more expensive than LongCat-2.5 ($1.20/1M tokens).
In conclusion, Ember-1 is more expensive than LongCat-2.5.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Ember-1 has 1180.0B more parameters than LongCat-2.5, making it 73.8% larger.
Context Window
Maximum input and output token capacity
LongCat-2.5 accepts 1,048,576 input tokens compared to Ember-1's 1,040,000 tokens. Only LongCat-2.5 specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
LongCat-2.5 supports multimodal inputs, whereas Ember-1 does not.
LongCat-2.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Ember-1
LongCat-2.5
Release Timeline
When each model was launched
Ember-1 was released on 2026-09-23, while LongCat-2.5 was released on 2026-11-01.
LongCat-2.5 is 1 month newer than Ember-1.
Sep 23, 2026
1 months ago
Nov 1, 2026
1 weeks ago
1mo 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. LongCat-2.5 is available from Meituan.
Ember-1
LongCat-2.5
Outputs Comparison
Judge for yourself.
Run your own prompts against Ember-1 and LongCat-2.5 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ember-1 vs LongCat-2.5.