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LongCat-2.5 vs Muse Spark 1.3

LongCat-2.5 and Muse Spark 1.3 are closely matched at 50.0 and 52.0 on the LLM Stats Score. LongCat-2.5 is 3.8x cheaper per token.

Meituan · Meta · Updated for 2026

Which is better?

LongCat-2.5 and Muse Spark 1.3 are closely matched on the overall LLM Stats Score at 50.0 and 52.0.

In the 3 individual benchmarks reported for both models, Muse Spark 1.3 wins 3; this is a narrower head-to-head signal than the composite indexes.

On price, LongCat-2.5 is roughly 3.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose LongCat-2.5

  • cost matters — it's about 3.8x cheaper per token
  • you want the most recent training data — it shipped Nov 2026

Choose Muse Spark 1.3

  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results

At a glance

The differences that matter most.

Core performance indexes
50.0
#20
52.0
#15
48.3
#21
50.1
#13
38.6
#27
39.2
#21
36.3
#23
37.9
#19
Cost, coverage & limits
Benchmark wins
0 of 3
3 of 3
Input price
$0.30 / M
$1.25 / M
Output price
$1.20 / M
$4.25 / M
Context window
1,048,576
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LongCat-2.5
Muse Spark 1.3
30.2#15
30.9#9
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

23 reported for LongCat-2.5 · 11 for Muse Spark 1.3

3 shared

LongCat-2.5 outperforms in 0 benchmarks, while Muse Spark 1.3 is better at 3 benchmarks (DeepSWE 1.1, SWE Atlas - Codebase QnA, Terminal-Bench 2.1).

Muse Spark 1.3 significantly outperforms across most benchmarks.

Mon Nov 02 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

LongCat-2.5 costs less

For input processing, LongCat-2.5 ($0.30/1M tokens) is 4.2x cheaper than Muse Spark 1.3 ($1.25/1M tokens).

For output processing, LongCat-2.5 ($1.20/1M tokens) is 3.5x cheaper than Muse Spark 1.3 ($4.25/1M tokens).

In conclusion, Muse Spark 1.3 is more expensive than LongCat-2.5.*

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

Lowest available price from all providers
Mon Nov 02 2026 • llm-stats.com
Meituan
LongCat-2.5
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Meta
Muse Spark 1.3
Input tokens$1.25
Output tokens$4.25
Best providerMeta
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,048,576 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while LongCat-2.5 is limited to 131,072 tokens.

Meituan
LongCat-2.5
Input1,048,576 tokens
Output131,072 tokens
Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
Mon Nov 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both LongCat-2.5 and Muse Spark 1.3 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

LongCat-2.5

Text
Images
Audio
Video

Muse Spark 1.3

Text
Images
Audio
Video

Release Timeline

When each model was launched

LongCat-2.5 was released on 2026-11-01, while Muse Spark 1.3 was released on 2026-09-02.

LongCat-2.5 is 2 months newer than Muse Spark 1.3.

LongCat-2.5

Nov 1, 2026

1 days ago

2mo newer
Muse Spark 1.3

Sep 2, 2026

2 months 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

LongCat-2.5 is available from Meituan. Muse Spark 1.3 is available from Meta Model API.

LongCat-2.5

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

Muse Spark 1.3

meta logo
Meta
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-2.5 and Muse Spark 1.3 side-by-side, then vote on the output you prefer.

LongCat-2.5
✓ Preferred
Muse Spark 1.3
Open in Playground

FAQ

Common questions about LongCat-2.5 vs Muse Spark 1.3.

Which is better, LongCat-2.5 or Muse Spark 1.3?

LongCat-2.5 and Muse Spark 1.3 are closely matched on the LLM Stats Score at 50.0 and 52.0. LongCat-2.5 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-2.5 compare to Muse Spark 1.3 in benchmarks?

LongCat-2.5 scores MathVision: 96.5%, BrowseComp: 91.9%, CharXiv-R: 90.2%, Terminal-Bench 2.1: 88.4%, Video-MME: 85.2%. 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-2.5 cheaper than Muse Spark 1.3?

LongCat-2.5 is 4.2x cheaper for input tokens. LongCat-2.5 costs $0.30/M input and $1.20/M output via meituan. Muse Spark 1.3 costs $1.25/M input and $4.25/M output via meta.

What are the context window sizes for LongCat-2.5 and Muse Spark 1.3?

LongCat-2.5 supports 1.0M 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-2.5 and Muse Spark 1.3?

Key differences include LLM Stats Score (50.0 vs 52.0), input pricing ($0.30 vs $1.25/M), licensing (Unknown vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes LongCat-2.5 and Muse Spark 1.3?

LongCat-2.5 is developed by Meituan and Muse Spark 1.3 is developed by Meta.