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Ling 3.0 Flash Fin vs Muse Wonder Full

Ling 3.0 Flash Fin and Muse Wonder Full are closely matched at 42.9 and 52.6 on the LLM Stats Score.

InclusionAI · Meta · Updated for 2026

Which is better?

Ling 3.0 Flash Fin and Muse Wonder Full are closely matched on the overall LLM Stats Score at 42.9 and 52.6.

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

Choose Ling 3.0 Flash Fin

  • you want predictable pricing at $0.06/M input and $0.18/M output

Choose Muse Wonder Full

  • your work emphasizes agents — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Ling 3.0 Flash Fin
InclusionAI
Muse Wonder Full
Meta
Core performance indexes
LLM Stats Score
42.9
#59
52.6
#12
Reasoning
44.7
#44
41.2
#62
Agents
28.6
#54
40.6
#6
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.06 / M
— / M
Output price
$0.18 / M
— / M
Context window
262,144
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Ling 3.0 Flash Fin
Muse Wonder Full
Tool use
20.7#65
24.7#39
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Ling 3.0 Flash Fin · 16 for Muse Wonder Full

No common benchmarks found

Ling 3.0 Flash Fin and Muse Wonder Fulldon'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 Ling 3.0 Flash Fin specifies input context (262,144 tokens). Only Ling 3.0 Flash Fin specifies output context (262,144 tokens).

InclusionAI
Ling 3.0 Flash Fin
Input262,144 tokens
Output262,144 tokens
Meta
Muse Wonder Full
Input- tokens
Output- tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Wonder Full supports multimodal inputs, whereas Ling 3.0 Flash Fin does not.

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

Ling 3.0 Flash Fin

Text
Images
Audio
Video

Muse Wonder Full

Text
Images
Audio
Video

Release Timeline

When each model was launched

Ling 3.0 Flash Fin was released on 2026-09-03, while Muse Wonder Full was released on 2026-10-12.

Muse Wonder Full is 1 month newer than Ling 3.0 Flash Fin.

Ling 3.0 Flash Fin

Sep 3, 2026

1 months ago

Muse Wonder Full

Oct 12, 2026

1 weeks ago

1mo 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

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Ling 3.0 Flash Fin and Muse Wonder Full side-by-side, then vote on the output you prefer.

Ling 3.0 Flash Fin
✓ Preferred
Muse Wonder Full
Open in Playground

FAQ

Common questions about Ling 3.0 Flash Fin vs Muse Wonder Full.

Which is better, Ling 3.0 Flash Fin or Muse Wonder Full?

Ling 3.0 Flash Fin and Muse Wonder Full are closely matched on the LLM Stats Score at 42.9 and 52.6. Ling 3.0 Flash Fin is made by InclusionAI and Muse Wonder Full 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 3.0 Flash Fin compare to Muse Wonder Full in benchmarks?

Ling 3.0 Flash Fin scores SpreadSheetBench-v1: 86.5%, Finance Agent v1.1: 69.2%, Finance Agent v2: 59.8%, Tau3 Banking: 41.0%, APEX-Agents: 29.2%. Muse Wonder Full scores MemoryBench: 85.5%, DeepSWE 1.1: 79.0%, OSWorld 2.1 (partial): 78.4%, JobBench: 75.3%, HealthBench Professional: 62.3%.

What are the context window sizes for Ling 3.0 Flash Fin and Muse Wonder Full?

Ling 3.0 Flash Fin supports 262K tokens and Muse Wonder Full supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Ling 3.0 Flash Fin and Muse Wonder Full?

Key differences include LLM Stats Score (42.9 vs 52.6), multimodal support (no vs yes), licensing (Unknown vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Ling 3.0 Flash Fin and Muse Wonder Full?

Ling 3.0 Flash Fin is developed by InclusionAI and Muse Wonder Full is developed by Meta.

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