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Ling 3.1 Flash vs Muse Spark 1.2

Ling 3.1 Flash leads the LLM Stats Score 51.1 to 37.9.

InclusionAI · Meta · Updated for 2026

Which is better?

Ling 3.1 Flash leads the overall LLM Stats Score 51.1 to 37.9, ranking #14 overall.

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

Choose Ling 3.1 Flash

  • overall performance matters — it scores 51.1 and ranks #14 on LLM Stats
  • your work emphasizes agents — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Muse Spark 1.2

  • you want predictable pricing at $1.25/M input and $4.25/M output

At a glance

The differences that matter most.

Ling 3.1 Flash
InclusionAI
Muse Spark 1.2
Meta
Core performance indexes
LLM Stats Score
51.1
#14
37.9
#78
Reasoning
47.7
#25
32.6
#113
Coding
39.2
#17
28.5
#67
Agents
38.3
#11
25.0
#61
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$1.25 / M
Output price
— / M
$4.25 / M
Context window
—
1,048,576

Individual benchmarks

11 reported for Ling 3.1 Flash · 3 for Muse Spark 1.2

No common benchmarks found

Ling 3.1 Flash and Muse Spark 1.2don'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

Context Window

Maximum input and output token capacity

Only Muse Spark 1.2 specifies input context (1,048,576 tokens). Only Muse Spark 1.2 specifies output context (131,072 tokens).

InclusionAI
Ling 3.1 Flash
Input- tokens
Output- tokens
Meta
Muse Spark 1.2
Input1,048,576 tokens
Output131,072 tokens
Wed Oct 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Spark 1.2 supports multimodal inputs, whereas Ling 3.1 Flash does not.

Muse Spark 1.2 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Ling 3.1 Flash

Text
Images
Audio
Video

Muse Spark 1.2

Text
Images
Audio
Video

Release Timeline

When each model was launched

Ling 3.1 Flash was released on 2026-09-30, while Muse Spark 1.2 was released on 2026-08-05.

Ling 3.1 Flash is 2 months newer than Muse Spark 1.2.

Ling 3.1 Flash

Sep 30, 2026

1 weeks ago

1mo newer
Muse Spark 1.2

Aug 5, 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

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Ling 3.1 Flash and Muse Spark 1.2 side-by-side, then vote on the output you prefer.

Ling 3.1 Flash
✓ Preferred
Muse Spark 1.2
Open in Playground

FAQ

Common questions about Ling 3.1 Flash vs Muse Spark 1.2.

Which is better, Ling 3.1 Flash or Muse Spark 1.2?

Ling 3.1 Flash leads the LLM Stats Score 51.1 to 37.9. Ling 3.1 Flash is made by InclusionAI and Muse Spark 1.2 is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Ling 3.1 Flash compare to Muse Spark 1.2 in benchmarks?

Ling 3.1 Flash scores CyberGym: 87.9%, DRACO: 85.5%, FrontierSWE: 75.2%, Multi-Challenge: 69.8%, SkillsBench: 68.7%. Muse Spark 1.2 scores Terminal-Bench 2.1: 82.9%, Meta Internal Coding Bench: 70.6%, DeepSWE 1.1: 59.3%.

What are the context window sizes for Ling 3.1 Flash and Muse Spark 1.2?

Ling 3.1 Flash supports an unknown number of tokens and Muse Spark 1.2 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 Ling 3.1 Flash and Muse Spark 1.2?

Key differences include LLM Stats Score (51.1 vs 37.9), multimodal support (no vs yes), licensing (Unknown vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Ling 3.1 Flash and Muse Spark 1.2?

Ling 3.1 Flash is developed by InclusionAI and Muse Spark 1.2 is developed by Meta.

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