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Muse Spark 1.3 Contributor vs Qwen3.8 27B (free)

Signal-by-Signal Comparison
SignalMuse Spark 1.3 ContributorDeltaQwen3.8 27B (free)
Capabilities
100
+17
83
Pricing
100
0
100
Context window size
96
+10
86
Recency
100
--
100
Output Capacity
96
+10
86
Benchmarks
0
-72
72
Overall Result
3 wins
of 6
2 wins
Muse Spark 1.3 Contributor wins 3 of 6 signals

Score History

Score History (3 data points)
Muse Spark 1.3 ContributorQwen3.8 27B (free)
Muse Spark 1.3 Contributor

40

current score

Leader

Qwen3.8 27B (free)

right now

Qwen3.8 27B (free)

72.9

current score

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

Muse Spark 1.3 Contributor

meta

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

Qwen3.8 27B (free)

Alibaba

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

Qwen3.8 27B (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 Qwen3.8 27B (free) for cost optimization

Muse Spark 1.3 Contributor pricing:
Input:$0.10/M tokens
Output:$0.20/M tokens
Qwen3.8 27B (free) pricing:
Input:$0.00/M tokens
Output:$0.00/M tokens
Muse Spark 1.3 Contributor

meta

40

Composite Score

Winner
Qwen3.8 27B (free)

Alibaba

73

Composite Score

Signal-by-Signal Comparison
MetricMuse Spark 1.3 ContributorQwen3.8 27B (free)Winner
Overall Score
40
73
Qwen3.8 27B (free)
Rank#249#144
Qwen3.8 27B (free)
Quality Rank#249#144
Qwen3.8 27B (free)
Adoption Rank#249#144
Qwen3.8 27B (free)
Parameters--27B--
Context Window1049K262K
Muse Spark 1.3 Contributor
Pricing$0.10/$0.20/MFree--
Signal Scores
Capabilities
100
83
Muse Spark 1.3 Contributor
Pricing
100
100
Qwen3.8 27B (free)
Context window size
96
86
Muse Spark 1.3 Contributor
Recency
100
100
Muse Spark 1.3 Contributor
Output Capacity
96
86
Muse Spark 1.3 Contributor
Benchmarks--
72
Qwen3.8 27B (free)
Benchmark Head-to-Head(1 benchmarks)
Muse Spark: 0Qwen3.8 27B: 0
Muse Spark
Qwen3.8 27B
Normalized 0-100%
Arena Elo
-1437
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.

Muse Spark 1.3 ContributorEntry Level

Scores 40/100 (rank #249), placing it in the top 14% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3.8 27B (free)Strong Performer

Scores 73/100 (rank #144), placing it in the top 51% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Qwen3.8 27B (free) has a 33-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Muse Spark 1.3 Contributor when you need:

  • Processing long documents or large codebases (1049K token context)
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Qwen3.8 27B (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
Cost-Performance Analysis
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
Qwen3.8 27B (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

Both models are priced similarly, so the decision comes down to quality and features rather than cost.

Latency & Speed
Muse Spark 1.3 ContributorFaster
Speed score0/100
Qwen3.8 27B (free)
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

Muse Spark 1.3 Contributor

Customer support chatbot

Suitable for user-facing chat with competitive response times. Qwen3.8 27B (free) also offers lower per-token costs for high-volume support

Muse Spark 1.3 Contributor

Long document analysis

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

Muse Spark 1.3 Contributor

Batch data extraction

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

Qwen3.8 27B (free)

Creative writing & content

Higher overall composite score (73/100) correlates with better nuance, coherence, and style in long-form content

Qwen3.8 27B (free)

Image understanding & OCR

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

Muse Spark 1.3 Contributor
Which Should You Choose?
Our recommendation:
Qwen3.8 27B (free)

Qwen3.8 27B (free) clearly outperforms Muse Spark 1.3 Contributor with a significant 32.900000000000006-point lead. For most general use cases, Qwen3.8 27B (free) is the stronger choice. However, Muse Spark 1.3 Contributor may still excel in niche scenarios.

by meta

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • 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 Alibaba

  • Choose for Cost - 100% lower pricing; better value at scale
Capability Comparison
CapabilityMuse Spark 1.3 ContributorQwen3.8 27B (free)
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)

Muse Spark 1.3 Contributor

meta

$0.4200
estimated monthly cost

Qwen3.8 27B (free)

Alibaba

Best Value
$0.000000
estimated monthly cost

Qwen3.8 27B (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
ParameterMuse Spark 1.3 ContributorQwen3.8 27B (free)
Context Window1.0M262K
Max Output Tokens943,718235,929
Open SourceNoYes
CreatedSep 2, 2026Aug 14, 2026
Last updated: 57m ago

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