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Muse Spark 1.3 vs Qwen-Plus

vs
Qwen-Plus

Alibaba

40#392
Signal-by-Signal Comparison
SignalMuse Spark 1.3DeltaQwen-Plus
Capabilities
100
+50
50
Pricing
96
-3
99
Context window size
96
+0
95
Recency
100
+76
24
Output Capacity
96
+23
72
Overall Result
4 wins
of 5
1 wins
Muse Spark 1.3 wins 4 of 5 signals

Score History

Score History (32 data points)
Muse Spark 1.3Qwen-Plus
Muse Spark 1.3

80.9

current score

Leader

Muse Spark 1.3

right now

Qwen-Plus

40

current score

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

Muse Spark 1.3

meta

Per request$0.003375
Daily$11.25
Monthly$337.50
Annual$4050.00

Qwen-Plus

Alibaba

Best Value
Per request$0.000650
Daily$2.17
Monthly$65.00
Annual$780.00

Qwen-Plus saves you $272.50/month

That's $3270.00/year compared to Muse Spark 1.3 at your current usage level of 100K calls/month.

81% cheaper
Choose Qwen-Plus for cost optimization

Muse Spark 1.3 pricing:
Input:$1.25/M tokens
Output:$4.25/M tokens
Qwen-Plus pricing:
Input:$0.26/M tokens
Output:$0.78/M tokens
Winner
Muse Spark 1.3

meta

81

Composite Score

Qwen-Plus

Alibaba

40

Composite Score

Signal-by-Signal Comparison
MetricMuse Spark 1.3Qwen-PlusWinner
Overall Score
81
40
Muse Spark 1.3
Rank#82#392
Muse Spark 1.3
Quality Rank#82#392
Muse Spark 1.3
Adoption Rank#82#392
Muse Spark 1.3
Parameters------
Context Window1049K1000K
Muse Spark 1.3
Pricing$1.25/$4.25/M$0.26/$0.78/M--
Signal Scores
Capabilities
100
50
Muse Spark 1.3
Pricing
96
99
Qwen-Plus
Context window size
96
95
Muse Spark 1.3
Recency
100
24
Muse Spark 1.3
Output Capacity
96
72
Muse Spark 1.3
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 1.3Strong Performer

Scores 81/100 (rank #82), placing it in the top 72% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen-PlusEntry Level

Scores 40/100 (rank #392), placing it in the top -35% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Muse Spark 1.3 has a 41-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 when you need:

  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Qwen-Plus when you need:

  • High-volume production workloads where API costs must be minimized
Cost-Performance Analysis
Muse Spark 1.3
Input cost$1.25/M tokens
Output cost$4.25/M tokens
Cost per quality point$0.068
Est. monthly (1M tokens/day)$82.50
Qwen-PlusBest Value
Input cost$0.26/M tokens
Output cost$0.78/M tokens
Cost per quality point$0.026
Est. monthly (1M tokens/day)$15.60

Qwen-Plus offers 81% better value per quality point. At 1M tokens/day, you'd spend $15.60/month with Qwen-Plus vs $82.50/month with Muse Spark 1.3 - a $66.90 monthly difference.

Latency & Speed
Muse Spark 1.3Faster
Speed score0/100
Qwen-Plus
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

Customer support chatbot

Suitable for user-facing chat with competitive response times. Qwen-Plus also offers lower per-token costs for high-volume support

Muse Spark 1.3

Long document analysis

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

Muse Spark 1.3

Batch data extraction

Lower output pricing ($0.78/M) reduces costs when processing thousands of records daily

Qwen-Plus

Creative writing & content

Higher overall composite score (81/100) correlates with better nuance, coherence, and style in long-form content

Muse Spark 1.3

Image understanding & OCR

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

Muse Spark 1.3
Which Should You Choose?
Our recommendation:
Muse Spark 1.3

Muse Spark 1.3 clearly outperforms Qwen-Plus with a significant 40.900000000000006-point lead. For most general use cases, Muse Spark 1.3 is the stronger choice. However, Qwen-Plus may still excel in niche scenarios.

Muse Spark 1.3
Recommended

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 - 81% lower pricing; better value at scale
Capability Comparison
CapabilityMuse Spark 1.3Qwen-Plus
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Muse Spark 1.3

meta

$7.35
estimated monthly cost

Qwen-Plus

Alibaba

Best Value
$1.40
estimated monthly cost

Qwen-Plus saves you $5.95/month

That's 81% cheaper than Muse Spark 1.3 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 1.3Qwen-Plus
Context Window1.0M1M
Max Output Tokens943,71832,768
Open SourceNoNo
CreatedSep 2, 2026Feb 1, 2025
Last updated: 13m ago

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Muse Spark 1.3 vs Qwen-Plus (2026) | LM Market Cap