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Ling 3.2 Flash (free) vs Muse Spark 1.3 Contributor

Signal-by-Signal Comparison
SignalLing 3.2 Flash (free)DeltaMuse Spark 1.3 Contributor
Capabilities
83
-17
100
Pricing
100
+0
100
Context window size
96
--
96
Recency
100
--
100
Output Capacity
87
-9
96
Overall Result
1 wins
of 5
2 wins
Muse Spark 1.3 Contributor wins 2 of 5 signals

Score History

Score History (11 data points)
Ling 3.2 Flash (free)Muse Spark 1.3 Contributor
Ling 3.2 Flash (free)

40

current score

Leader

Tied

right now

Muse Spark 1.3 Contributor

40

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Ling 3.2 Flash (free)

inclusionai

Best Value
Per request$0.000000
Daily$0.00
Monthly$0.00
Annual$0.00

Muse Spark 1.3 Contributor

meta

Per request$0.000200
Daily$0.67
Monthly$20.00
Annual$240.00

Ling 3.2 Flash (free) saves you $20.00/month

That's $240.00/year compared to Muse Spark 1.3 Contributor at your current usage level of 100K calls/month.

100% cheaper
Choose Ling 3.2 Flash (free) for cost optimization

Ling 3.2 Flash (free) pricing:
Input:$0.00/M tokens
Output:$0.00/M tokens
Muse Spark 1.3 Contributor pricing:
Input:$0.10/M tokens
Output:$0.20/M tokens
Tie
Ling 3.2 Flash (free)

inclusionai

40

Composite Score

Tie
Muse Spark 1.3 Contributor

meta

40

Composite Score

Signal-by-Signal Comparison
MetricLing 3.2 Flash (free)Muse Spark 1.3 ContributorWinner
Overall Score
40
40
--
Rank#148#241
Ling 3.2 Flash (free)
Quality Rank#148#241
Ling 3.2 Flash (free)
Adoption Rank#148#241
Ling 3.2 Flash (free)
Parameters------
Context Window1049K1049K--
PricingFree$0.10/$0.20/M--
Signal Scores
Capabilities
83
100
Muse Spark 1.3 Contributor
Pricing
100
100
Ling 3.2 Flash (free)
Context window size
96
96
Ling 3.2 Flash (free)
Recency
100
100
Ling 3.2 Flash (free)
Output Capacity
87
96
Muse Spark 1.3 Contributor
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

Ling 3.2 Flash (free)Entry Level

Scores 40/100 (rank #148), placing it in the top 49% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Muse Spark 1.3 ContributorEntry Level

Scores 40/100 (rank #241), placing it in the top 17% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose Ling 3.2 Flash (free) when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model

Choose Muse Spark 1.3 Contributor when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Ling 3.2 Flash (free)
Input cost$0.00/M tokens
Output cost$0.00/M tokens
Cost per quality point$0.000
Est. monthly (1M tokens/day)$0.00
Muse Spark 1.3 Contributor
Input cost$0.10/M tokens
Output cost$0.20/M tokens
Cost per quality point$0.007
Est. monthly (1M tokens/day)$4.50

Compare the cost per quality point to find the best value for your specific workload.

Latency & Speed
Ling 3.2 Flash (free)Faster
Speed score0/100
Muse Spark 1.3 Contributor
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Ling 3.2 Flash (free)

Customer support chatbot

Suitable for user-facing chat with competitive response times. Ling 3.2 Flash (free) also offers lower per-token costs for high-volume support

Ling 3.2 Flash (free)

Long document analysis

Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass

Ling 3.2 Flash (free)

Batch data extraction

Lower output pricing ($0.00/M) reduces costs when processing thousands of records daily

Ling 3.2 Flash (free)

Creative writing & content

Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content

Ling 3.2 Flash (free)

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Ling 3.2 Flash (free)
Which Should You Choose?
Our recommendation:
Ling 3.2 Flash (free)

Ling 3.2 Flash (free) and Muse Spark 1.3 Contributor are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by inclusionai

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 100% lower pricing; better value at scale
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by meta

Consider for specialized use cases.

Capability Comparison
CapabilityLing 3.2 Flash (free)Muse Spark 1.3 Contributor
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Ling 3.2 Flash (free)

inclusionai

Best Value
$0.000000
estimated monthly cost

Muse Spark 1.3 Contributor

meta

$0.4200
estimated monthly cost

Ling 3.2 Flash (free) saves you $0.4200/month

That's 100% cheaper than Muse Spark 1.3 Contributor at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterLing 3.2 Flash (free)Muse Spark 1.3 Contributor
Context Window1.0M1.0M
Max Output Tokens262,144943,718
Open SourceYesNo
CreatedNov 13, 2026Sep 2, 2026
Last updated: 47m ago

相关对比

Ling 3.2 Flash (free) vs Muse Spark 1.3 Contributor (2026) | LM Market Cap