The AI arena is free today

Open Superagent

Ling 3.0 Flash Fin vs Muse Spark 1.3

Muse Spark 1.3 leads the LLM Stats Score 55.1 to 43.3. Ling 3.0 Flash Fin is 1.4x cheaper per token.

InclusionAI · Meta · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 55.1 to 43.3, ranking #4 overall.

On price, Ling 3.0 Flash Fin is roughly 1.4x 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 Ling 3.0 Flash Fin

  • cost matters — it's about 1.4x cheaper per token
  • you want the most recent training data — it shipped Sep 2026

Choose Muse Spark 1.3

  • overall performance matters — it scores 55.1 and ranks #4 on LLM Stats
  • your work emphasizes agents — it leads those capability indexes
  • you process long inputs — it offers a 1,048,576 token context window

At a glance

The differences that matter most.

Core performance indexes
43.3
#39
55.1
#4
44.7
#32
52.6
#7
29.5
#35
40.6
#4
Cost, coverage & limits
Benchmark wins
Input price
$0.06 / M
$0.10 / M
Output price
$0.18 / M
$0.20 / M
Context window
262,144
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Ling 3.0 Flash Fin
Muse Spark 1.3
20.5#56
35.8#2
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Ling 3.0 Flash Fin · 11 for Muse Spark 1.3

No common benchmarks found

Ling 3.0 Flash Fin 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

Ling 3.0 Flash Fin costs less

For input processing, Ling 3.0 Flash Fin ($0.06/1M tokens) is 1.7x cheaper than Muse Spark 1.3 ($0.10/1M tokens).

For output processing, Ling 3.0 Flash Fin ($0.18/1M tokens) is 1.1x cheaper than Muse Spark 1.3 ($0.20/1M tokens).

In conclusion, Muse Spark 1.3 is more expensive than Ling 3.0 Flash Fin.*

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

Lowest available price from all providers
Tue Sep 08 2026 • llm-stats.com
InclusionAI
Ling 3.0 Flash Fin
Input tokens$0.06
Output tokens$0.18
Best providerDeepinfra
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 Ling 3.0 Flash Fin's 262,144 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while Ling 3.0 Flash Fin is limited to 262,144 tokens.

InclusionAI
Ling 3.0 Flash Fin
Input262,144 tokens
Output262,144 tokens
Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
Tue Sep 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Spark 1.3 supports multimodal inputs, whereas Ling 3.0 Flash Fin does not.

Muse Spark 1.3 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 Spark 1.3

Text
Images
Audio
Video

Release Timeline

When each model was launched

Ling 3.0 Flash Fin was released on 2026-09-03, while Muse Spark 1.3 was released on 2026-09-02.

Ling 3.0 Flash Fin is 0 month newer than Muse Spark 1.3.

Ling 3.0 Flash Fin

Sep 3, 2026

5 days ago

1d newer
Muse Spark 1.3

Sep 2, 2026

6 days 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

Ling 3.0 Flash Fin is available from DeepInfra. Muse Spark 1.3 is available from Meta Model API.

Ling 3.0 Flash Fin

deepinfra logo
Deepinfra
Input Price:Input: $0.06/1MOutput Price:Output: $0.18/1M

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 Ling 3.0 Flash Fin and Muse Spark 1.3 side-by-side, then vote on the output you prefer.

Ling 3.0 Flash Fin
✓ Preferred
Muse Spark 1.3
Open in Playground

FAQ

Common questions about Ling 3.0 Flash Fin vs Muse Spark 1.3.

Which is better, Ling 3.0 Flash Fin or Muse Spark 1.3?

Muse Spark 1.3 leads the LLM Stats Score 55.1 to 43.3. Ling 3.0 Flash Fin is made by InclusionAI 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 Ling 3.0 Flash Fin compare to Muse Spark 1.3 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 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 Ling 3.0 Flash Fin cheaper than Muse Spark 1.3?

Ling 3.0 Flash Fin is 1.7x cheaper for input tokens. Ling 3.0 Flash Fin costs $0.06/M input and $0.18/M output via deepinfra. Muse Spark 1.3 costs $0.10/M input and $0.20/M output via meta.

What are the context window sizes for Ling 3.0 Flash Fin and Muse Spark 1.3?

Ling 3.0 Flash Fin supports 262K 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 Ling 3.0 Flash Fin and Muse Spark 1.3?

Key differences include LLM Stats Score (43.3 vs 55.1), context window (262K vs 1.0M), input pricing ($0.06 vs $0.10/M), 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 Spark 1.3?

Ling 3.0 Flash Fin is developed by InclusionAI and Muse Spark 1.3 is developed by Meta.