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LongCat-Flash-Thinking vs Muse Spark Open

Muse Spark Open leads the LLM Stats Score 44.9 to 28.5. LongCat-Flash-Thinking is 3.8x cheaper per token.

Meituan · Meta · Updated for 2026

Which is better?

Muse Spark Open leads the overall LLM Stats Score 44.9 to 28.5, ranking #43 overall.

In the 1 individual benchmarks reported for both models, Muse Spark Open wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, LongCat-Flash-Thinking is roughly 3.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Muse Spark Open 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 LongCat-Flash-Thinking

  • cost matters — it's about 3.8x cheaper per token

Choose Muse Spark Open

  • overall performance matters — it scores 44.9 and ranks #43 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

LongCat-Flash-Thinking
Meituan
Muse Spark Open
Meta
Core performance indexes
LLM Stats Score
28.5
#155
44.9
#43
Reasoning
28.6
#148
45.2
#39
Coding
13.7
#156
33.0
#42
Agents
12.9
#116
30.6
#43
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.30 / M
$1.25 / M
Output price
$1.20 / M
$4.25 / M
Context window
128,000
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
LongCat-Flash-Thinking
Muse Spark Open
Math
28.1#100
31.6#69
Tool use
15.7#100
23.3#44
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for LongCat-Flash-Thinking · 17 for Muse Spark Open

1 shared

LongCat-Flash-Thinking outperforms in 0 benchmarks, while Muse Spark Open is better at 1 benchmark (GPQA).

Muse Spark Open significantly outperforms across most benchmarks.

Mon Oct 19 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, LongCat-Flash-Thinking ($0.30/1M tokens) is 4.2x cheaper than Muse Spark Open ($1.25/1M tokens).

For output processing, LongCat-Flash-Thinking ($1.20/1M tokens) is 3.5x cheaper than Muse Spark Open ($4.25/1M tokens).

In conclusion, Muse Spark Open is more expensive than LongCat-Flash-Thinking.*

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

Lowest available price from all providers
Mon Oct 19 2026 • llm-stats.com
Meituan
LongCat-Flash-Thinking
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Meta
Muse Spark Open
Input tokens$1.25
Output tokens$4.25
Best providerTogether
Notice missing or incorrect data?

Model Size

Parameter count comparison

256.0B diff

Muse Spark Open has 256.0B more parameters than LongCat-Flash-Thinking, making it 45.7% larger.

Meituan
LongCat-Flash-Thinking
560.0Bparameters
Meta
Muse Spark Open
816.0Bparameters
560.0B
LongCat-Flash-Thinking
816.0B
Muse Spark Open

Context Window

Maximum input and output token capacity

Muse Spark Open accepts 1,048,576 input tokens compared to LongCat-Flash-Thinking's 128,000 tokens. Muse Spark Open can generate longer responses up to 1,048,576 tokens, while LongCat-Flash-Thinking is limited to 128,000 tokens.

Meituan
LongCat-Flash-Thinking
Input128,000 tokens
Output128,000 tokens
Meta
Muse Spark Open
Input1,048,576 tokens
Output1,048,576 tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Spark Open supports multimodal inputs, whereas LongCat-Flash-Thinking does not.

Muse Spark Open can handle both text and other forms of data like images, making it suitable for multimodal applications.

LongCat-Flash-Thinking

Text
Images
Audio
Video

Muse Spark Open

Text
Images
Audio
Video

License

Usage and distribution terms

LongCat-Flash-Thinking is licensed under MIT, while Muse Spark Open uses Muse Model License.

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

LongCat-Flash-Thinking

MIT

Open weights

Muse Spark Open

Muse Model License

Open weights

Release Timeline

When each model was launched

LongCat-Flash-Thinking was released on 2025-09-22, while Muse Spark Open was released on 2026-10-15.

Muse Spark Open is 13 months newer than LongCat-Flash-Thinking.

LongCat-Flash-Thinking

Sep 22, 2025

1.1 years ago

Muse Spark Open

Oct 15, 2026

2 days ago

1.1yr newer

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

LongCat-Flash-Thinking is available from Meituan. Muse Spark Open is available from Together.

LongCat-Flash-Thinking

meituan logo
Meituan
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

Muse Spark Open

together logo
Together
Input Price:Input: $1.25/1MOutput Price:Output: $4.25/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

LongCat-Flash-Thinking
✓ Preferred
Muse Spark Open
Open in Playground

FAQ

Common questions about LongCat-Flash-Thinking vs Muse Spark Open.

Which is better, LongCat-Flash-Thinking or Muse Spark Open?

Muse Spark Open leads the LLM Stats Score 44.9 to 28.5. LongCat-Flash-Thinking is made by Meituan and Muse Spark Open is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does LongCat-Flash-Thinking compare to Muse Spark Open in benchmarks?

LongCat-Flash-Thinking scores MATH-500: 99.2%, ZebraLogic: 95.5%, AIME 2024: 93.3%, AIME 2025: 90.6%, MMLU-Redux: 89.3%. Muse Spark Open scores MCP Atlas: 89.2%, GPQA: 89.0%, OSWorld-Verified: 80.4%, BabyVision: 80.2%, Terminal-Bench 2.1: 76.4%.

Is LongCat-Flash-Thinking cheaper than Muse Spark Open?

LongCat-Flash-Thinking is 4.2x cheaper for input tokens. LongCat-Flash-Thinking costs $0.30/M input and $1.20/M output via meituan. Muse Spark Open costs $1.25/M input and $4.25/M output via together.

What are the context window sizes for LongCat-Flash-Thinking and Muse Spark Open?

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

What are the main differences between LongCat-Flash-Thinking and Muse Spark Open?

Key differences include LLM Stats Score (28.5 vs 44.9), context window (128K vs 1.0M), input pricing ($0.30 vs $1.25/M), multimodal support (no vs yes), licensing (MIT vs Muse Model License). See the full comparison above for benchmark-by-benchmark results.

Who makes LongCat-Flash-Thinking and Muse Spark Open?

LongCat-Flash-Thinking is developed by Meituan and Muse Spark Open is developed by Meta.

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