Ling 3.0 Flash Fin vs Muse Spark Open
Ling 3.0 Flash Fin and Muse Spark Open are closely matched at 42.9 and 45.3 on the LLM Stats Score. Ling 3.0 Flash Fin is 22.2x cheaper per token.
InclusionAI · Meta · Updated for 2026
Which is better?
Ling 3.0 Flash Fin and Muse Spark Open are closely matched on the overall LLM Stats Score at 42.9 and 45.3.
On price, Ling 3.0 Flash Fin is roughly 22.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Spark Open 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 22.2x cheaper per token
Choose Muse Spark Open
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Oct 2026
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
6 reported for Ling 3.0 Flash Fin · 17 for Muse Spark Open
Ling 3.0 Flash Fin and Muse Spark Opendon'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
For input processing, Ling 3.0 Flash Fin ($0.06/1M tokens) is 20.8x cheaper than Muse Spark Open ($1.25/1M tokens).
For output processing, Ling 3.0 Flash Fin ($0.18/1M tokens) is 23.6x cheaper than Muse Spark Open ($4.25/1M tokens).
In conclusion, Muse Spark Open is more expensive than Ling 3.0 Flash Fin.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Muse Spark Open has 692.0B more parameters than Ling 3.0 Flash Fin, making it 558.1% larger.
Context Window
Maximum input and output token capacity
Muse Spark Open accepts 1,048,576 input tokens compared to Ling 3.0 Flash Fin's 262,144 tokens. Muse Spark Open can generate longer responses up to 1,048,576 tokens, while Ling 3.0 Flash Fin is limited to 262,144 tokens.
Input capabilities
Documented input modalities across available providers
Muse Spark Open supports multimodal inputs, whereas Ling 3.0 Flash Fin does not.
Muse Spark Open can handle both text and other forms of data like images, making it suitable for multimodal applications.
Ling 3.0 Flash Fin
Muse Spark Open
Release Timeline
When each model was launched
Ling 3.0 Flash Fin was released on 2026-09-03, while Muse Spark Open was released on 2026-10-15.
Muse Spark Open is 1 month newer than Ling 3.0 Flash Fin.
Sep 3, 2026
1 months ago
Oct 15, 2026
1 weeks ago
1mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Ling 3.0 Flash Fin is available from DeepInfra. Muse Spark Open is available from Together.
Ling 3.0 Flash Fin
Muse Spark Open
Outputs Comparison
Judge for yourself.
Run your own prompts against Ling 3.0 Flash Fin and Muse Spark Open side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ling 3.0 Flash Fin vs Muse Spark Open.