The AI arena is free today

Open Superagent

LongCat-Flash-Thinking-2601 vs Muse Spark 1.3

Muse Spark 1.3 leads the LLM Stats Score 55.3 to 35.7. Muse Spark 1.3 is 4.2x cheaper per token.

Meituan · Meta · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 55.3 to 35.7, ranking #5 overall.

On price, Muse Spark 1.3 is roughly 4.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Muse Spark 1.3 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-2601

  • you need open weights you can self-host or fine-tune

Choose Muse Spark 1.3

  • overall performance matters — it scores 55.3 and ranks #5 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • cost matters — it's about 4.2x 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 Sep 2026

At a glance

The differences that matter most.

LongCat-Flash-Thinking-2601
Meituan
Muse Spark 1.3
Meta
Core performance indexes
LLM Stats Score
35.7
#78
55.3
#5
Reasoning
35.9
#73
52.8
#7
Coding
19.2
#101
41.7
#10
Agents
9.9
#112
40.4
#4
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.30 / M
$0.10 / M
Output price
$1.20 / M
$0.20 / M
Context window
128,000
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LongCat-Flash-Thinking-2601
Muse Spark 1.3
Tool use
26.2#29
35.5#2
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for LongCat-Flash-Thinking-2601 · 11 for Muse Spark 1.3

No common benchmarks found

LongCat-Flash-Thinking-2601 and Muse Spark 1.3don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Muse Spark 1.3 costs less

For input processing, LongCat-Flash-Thinking-2601 ($0.30/1M tokens) is 3.0x more expensive than Muse Spark 1.3 ($0.10/1M tokens).

For output processing, LongCat-Flash-Thinking-2601 ($1.20/1M tokens) is 6.0x more expensive than Muse Spark 1.3 ($0.20/1M tokens).

In conclusion, LongCat-Flash-Thinking-2601 is more expensive than Muse Spark 1.3.*

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

Lowest available price from all providers
Fri Sep 04 2026 • llm-stats.com
Meituan
LongCat-Flash-Thinking-2601
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Meta
Muse Spark 1.3
Input tokens$0.10
Output tokens$0.20
Best providerMeta
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Muse Spark 1.3 accepts 1,048,576 input tokens compared to LongCat-Flash-Thinking-2601's 128,000 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while LongCat-Flash-Thinking-2601 is limited to 128,000 tokens.

Meituan
LongCat-Flash-Thinking-2601
Input128,000 tokens
Output128,000 tokens
Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Spark 1.3 supports multimodal inputs, whereas LongCat-Flash-Thinking-2601 does not.

Muse Spark 1.3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

LongCat-Flash-Thinking-2601

Text
Images
Audio
Video

Muse Spark 1.3

Text
Images
Audio
Video

License

Usage and distribution terms

LongCat-Flash-Thinking-2601 is licensed under MIT, while Muse Spark 1.3 uses a proprietary license.

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

LongCat-Flash-Thinking-2601

MIT

Open weights

Muse Spark 1.3

Proprietary

Closed source

Release Timeline

When each model was launched

LongCat-Flash-Thinking-2601 was released on 2026-01-14, while Muse Spark 1.3 was released on 2026-09-02.

Muse Spark 1.3 is 8 months newer than LongCat-Flash-Thinking-2601.

LongCat-Flash-Thinking-2601

Jan 14, 2026

7 months ago

Muse Spark 1.3

Sep 2, 2026

2 days ago

7mo 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-2601 is available from Meituan. Muse Spark 1.3 is available from Meta Model API.

LongCat-Flash-Thinking-2601

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

Muse Spark 1.3

meta logo
Meta
Input Price:Input: $0.10/1MOutput Price:Output: $0.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against LongCat-Flash-Thinking-2601 and Muse Spark 1.3 side-by-side, then vote on the output you prefer.

LongCat-Flash-Thinking-2601
✓ Preferred
Muse Spark 1.3
Open in Playground

FAQ

Common questions about LongCat-Flash-Thinking-2601 vs Muse Spark 1.3.

Which is better, LongCat-Flash-Thinking-2601 or Muse Spark 1.3?

Muse Spark 1.3 leads the LLM Stats Score 55.3 to 35.7. LongCat-Flash-Thinking-2601 is made by Meituan and Muse Spark 1.3 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-2601 compare to Muse Spark 1.3 in benchmarks?

LongCat-Flash-Thinking-2601 scores AIME 2025: 99.6%, Tau2 Telecom: 99.3%, Tau2 Retail: 88.6%, LiveCodeBench: 82.8%, GPQA: 80.5%. Muse Spark 1.3 scores MRCR v2 (8-needle): 98.5%, MRCR v2 (8-needle, 512K-1M): 98.1%, DeepSearchQA: 89.4%, Terminal-Bench 2.1: 88.8%, DeepSWE 1.1: 75.4%.

Is LongCat-Flash-Thinking-2601 cheaper than Muse Spark 1.3?

Muse Spark 1.3 is 3.0x cheaper for input tokens. LongCat-Flash-Thinking-2601 costs $0.30/M input and $1.20/M output via meituan. Muse Spark 1.3 costs $0.10/M input and $0.20/M output via meta.

What are the context window sizes for LongCat-Flash-Thinking-2601 and Muse Spark 1.3?

LongCat-Flash-Thinking-2601 supports 128K tokens and Muse Spark 1.3 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-2601 and Muse Spark 1.3?

Key differences include LLM Stats Score (35.7 vs 55.3), context window (128K vs 1.0M), input pricing ($0.30 vs $0.10/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes LongCat-Flash-Thinking-2601 and Muse Spark 1.3?

LongCat-Flash-Thinking-2601 is developed by Meituan and Muse Spark 1.3 is developed by Meta.

Related comparisons