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Ember-1 vs LongCat-Flash-Thinking

Ember-1 leads the LLM Stats Score 43.1 to 28.7. LongCat-Flash-Thinking is 11.4x cheaper per token.

Fireworks AI · Meituan · Updated for 2026

Which is better?

Ember-1 leads the overall LLM Stats Score 43.1 to 28.7, ranking #51 overall.

The models split the 2 individual benchmarks reported for both models evenly.

On price, LongCat-Flash-Thinking is roughly 11.4x 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 43.1 and ranks #51 on LLM Stats
  • your work emphasizes reasoning and coding — 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 LongCat-Flash-Thinking

  • cost matters — it's about 11.4x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
43.1
#51
28.7
#148
38.6
#71
28.9
#141
37.0
#22
13.9
#149
29.7
#44
12.9
#110
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
$3.00 / M
$0.30 / M
Output price
$15.00 / M
$1.20 / M
Context window
1,040,000
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Ember-1
LongCat-Flash-Thinking
15.9#94
15.7#95
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for Ember-1 · 14 for LongCat-Flash-Thinking

2 shared

Ember-1 outperforms in 1 benchmarks (SWE-Bench Verified), while LongCat-Flash-Thinking is better at 1 benchmark (Tau2 Airline).

Both models are evenly matched across the benchmarks.

Fri Oct 09 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

LongCat-Flash-Thinking costs less

For input processing, Ember-1 ($3.00/1M tokens) is 10.0x more expensive than LongCat-Flash-Thinking ($0.30/1M tokens).

For output processing, Ember-1 ($15.00/1M tokens) is 12.5x more expensive than LongCat-Flash-Thinking ($1.20/1M tokens).

In conclusion, Ember-1 is more expensive than LongCat-Flash-Thinking.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Oct 09 2026 • llm-stats.com
Fireworks AI
Ember-1
Input tokens$3.00
Output tokens$15.00
Best providerFireworks
Meituan
LongCat-Flash-Thinking
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Notice missing or incorrect data?

Model Size

Parameter count comparison

2220.0B diff

Ember-1 has 2220.0B more parameters than LongCat-Flash-Thinking, making it 396.4% larger.

Fireworks AI
Ember-1
2.8Tparameters
Meituan
LongCat-Flash-Thinking
560.0Bparameters
2780.0B
Ember-1
560.0B
LongCat-Flash-Thinking

Context Window

Maximum input and output token capacity

Ember-1 accepts 1,040,000 input tokens compared to LongCat-Flash-Thinking's 128,000 tokens. Only LongCat-Flash-Thinking specifies output context (128,000 tokens).

Fireworks AI
Ember-1
Input1,040,000 tokens
Output- tokens
Meituan
LongCat-Flash-Thinking
Input128,000 tokens
Output128,000 tokens
Fri Oct 09 2026 • llm-stats.com

License

Usage and distribution terms

Ember-1 is licensed under a proprietary license, while LongCat-Flash-Thinking uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Ember-1

Proprietary

Closed source

LongCat-Flash-Thinking

MIT

Open weights

Release Timeline

When each model was launched

Ember-1 was released on 2026-09-23, while LongCat-Flash-Thinking was released on 2025-09-22.

Ember-1 is 12 months newer than LongCat-Flash-Thinking.

Ember-1

Sep 23, 2026

2 weeks ago

1.0yr newer
LongCat-Flash-Thinking

Sep 22, 2025

1.0 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Ember-1 is available from Fireworks. LongCat-Flash-Thinking is available from Meituan.

Ember-1

fireworks logo
Fireworks
Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M

LongCat-Flash-Thinking

meituan logo
Meituan
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Ember-1 and LongCat-Flash-Thinking side-by-side, then vote on the output you prefer.

Ember-1
✓ Preferred
LongCat-Flash-Thinking
Open in Playground

FAQ

Common questions about Ember-1 vs LongCat-Flash-Thinking.

Which is better, Ember-1 or LongCat-Flash-Thinking?

Ember-1 leads the LLM Stats Score 43.1 to 28.7. Ember-1 is made by Fireworks AI and LongCat-Flash-Thinking is made by Meituan. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Ember-1 compare to LongCat-Flash-Thinking in benchmarks?

Ember-1 scores SWE-Bench Verified: 92.2%, Terminal-Bench 2.1: 82.0%, DeepSWE 1.1: 75.2%, Tau2 Airline: 66.0%. LongCat-Flash-Thinking scores MATH-500: 99.2%, ZebraLogic: 95.5%, AIME 2024: 93.3%, AIME 2025: 90.6%, MMLU-Redux: 89.3%.

Is Ember-1 cheaper than LongCat-Flash-Thinking?

LongCat-Flash-Thinking is 10.0x cheaper for input tokens. Ember-1 costs $3.00/M input and $15.00/M output via fireworks. LongCat-Flash-Thinking costs $0.30/M input and $1.20/M output via meituan.

What are the context window sizes for Ember-1 and LongCat-Flash-Thinking?

Ember-1 supports 1.0M tokens and LongCat-Flash-Thinking supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Ember-1 and LongCat-Flash-Thinking?

Key differences include LLM Stats Score (43.1 vs 28.7), context window (1.0M vs 128K), input pricing ($3.00 vs $0.30/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Ember-1 and LongCat-Flash-Thinking?

Ember-1 is developed by Fireworks AI and LongCat-Flash-Thinking is developed by Meituan.