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Ling 3.0 Flash Sante (free) vs Muse Spark 1.3

Published LiveBench scores across all seven categories, live list pricing, context windows, and the measured cost of a point of capability — for both models, side by side.

OpenRouter + LiveBenchAll comparisonsFull leaderboard

Ling 3.0 Flash Sante (free) is the cheaper of the two; neither can be ranked on quality here.

Ling 3.0 Flash Sante (free) does not have a published LiveBench run, so this comparison covers price, context and declared capabilities only. A missing score means "not evaluated", not "worse" — the right way to separate these two is an eval on your own workload.

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Ling 3.0 Flash Sante (free)

Blended / 1M
Free
Context
262K
Released
Sep 4, 2026
Overall score
Not evaluated
reasoningtool calling

meta

Muse Spark 1.3

Blended / 1M
$2.00
Context
1.0M
Released
Sep 2, 2026
Overall score
81.6
reasoningtool callingimage inputvideo inputfile inputaudio inputprompt caching

Specs and pricing

MetricLing 3.0 Flash Sante (free)Muse Spark 1.3
LiveBench overall

Mean of the seven LiveBench category scores, 0–100. Higher is better.

81.6
Cost per point

Measured benchmark spend divided by overall score — dollars per point of capability.

$0.1210
Blended price / 1M

3:1 input:output mix, the usual shape of production traffic.

Freewin$2.00
Input price / 1MFreewin$1.25
Output price / 1MFreewin$4.25
Cached input / 1M

Price of an input token served from the prompt cache, where the provider publishes one.

$0.150
Context window262K1.0Mwin
Max output tokens33K944Kwin

Benchmarks by category

An overall score averages away the thing you probably care about. These are the seven LiveBench categories scored separately — Ling 3.0 Flash Sante (free) on top, Muse Spark 1.3 below, both out of 100.

Agentic coding
64.1
Coding
81.1
Reasoning
89.7
Mathematics
95.9
Data analysis
79.6
Language
82.8
Instruction following
78.0

What each one costs to run

Per-token prices are hard to feel. These are monthly list costs for both models across five workload shapes, using each provider's published cached-input rate where there is one.

WorkloadLing 3.0 Flash Sante (free)Muse Spark 1.3
Support chatbot

1.2K in / 400 out × 200K requests

$0/mo$560.80/mo
RAG assistant

8K in / 600 out × 100K requests

$0/mo$815.00/mo
Coding agent

40K in / 4K out × 20K requests

$0/mo$724.00/mo
Document extraction

20K in / 1.5K out × 50K requests

$0/mo$1,514/mo
Bulk classification

500 in / 20 out × 5M requests

$0/mo$3,000/mo
Run these two through the cost calculator

Which should you pick?

You need to fit large documents in one call

Muse Spark 1.3

Wider context window — 1.0M against 262K.

You are cost-constrained

Ling 3.0 Flash Sante (free)

Cheaper on blended list price at Free per million tokens.

Ling 3.0 Flash Sante (free) vs Muse Spark 1.3 FAQ

Which is better, Ling 3.0 Flash Sante (free) or Muse Spark 1.3?

Ling 3.0 Flash Sante (free) is the cheaper of the two; neither can be ranked on quality here. Ling 3.0 Flash Sante (free) does not have a published LiveBench run, so this comparison covers price, context and declared capabilities only. A missing score means "not evaluated", not "worse" — the right way to separate these two is an eval on your own workload.

Is Ling 3.0 Flash Sante (free) cheaper than Muse Spark 1.3?

Ling 3.0 Flash Sante (free) is cheaper. On a 3:1 input:output blend, Ling 3.0 Flash Sante (free) lists at Free per million tokens and Muse Spark 1.3 at $2.00. Input and output are priced separately — Ling 3.0 Flash Sante (free) charges Free in and Free out, Muse Spark 1.3 charges $1.25 and $4.25 — so the model that looks cheaper flips depending on how output-heavy your workload is.

Does Ling 3.0 Flash Sante (free) or Muse Spark 1.3 have a bigger context window?

Muse Spark 1.3 has the larger context window: 262K for Ling 3.0 Flash Sante (free) against 1.0M for Muse Spark 1.3. Note that a window you can fill is not a window you should fill — retrieval quality usually degrades well before the limit, and you pay for every token you put in it.

Do Ling 3.0 Flash Sante (free) and Muse Spark 1.3 support prompt caching?

Muse Spark 1.3 publishes a cached-input rate of $0.150 per million tokens against a full input rate of $1.25. The catalogue lists no separate cached rate for Ling 3.0 Flash Sante (free), which means the provider does not price it separately here — not that caching is unavailable.

Related comparisons

How these numbers are produced

  • Price — provider list price from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
  • ScoresLiveBench release 2026-06-25, using their own category map. Each model shows its strongest published run. A blank means “not evaluated”, never “bad”.
  • Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
  • “Win” — awarded only past a threshold: one full point on a benchmark score, 10% on a price, 25% on a context window. Anything tighter reports as a tie, because effort settings alone move a LiveBench score by more than that.

Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.