Model Comparison
Muse Spark 1.3 (max)
vs. Qwen3.8 Max (0902)
Comparing 2 AI models · 0 benchmarks · Meta, Alibaba
Recommended Pick
MeMuse Spark 1.3 (max)8 metric winsStrongest on: Value, Input price, Output price
Best Value
Muse Spark 1.3 (max)
100.0 value score
48.2 reasoning / $2.00/1M
Lowest Price
Muse Spark 1.3 (max)
$1.25/1M input price
Best Reasoning
Muse Spark 1.3 (max)
48.2 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.8 Max (0902)
76.2 coding index
Differences That Matter
Best value
Muse Spark 1.3 (max) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Muse Spark 1.3 (max) is 1.6x cheaper on input tokens than Qwen3.8 Max (0902).
Speed gap
Muse Spark 1.3 (max) generates about 5.7x as many tokens per second as Qwen3.8 Max (0902).
Reasoning gap
Muse Spark 1.3 (max) leads Qwen3.8 Max (0902) by 2.8 points on reasoning.
Coding gap
Qwen3.8 Max (0902) leads Muse Spark 1.3 (max) by 0.4 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Muse Spark 1.3 (max)
Meta
TTFT
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Time
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tok/s
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Tokens
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Cost
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Qwen3.8 Max (0902)
Alibaba
TTFT
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Time
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tok/s
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Tokens
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Cost
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Which answer was more useful?
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Full Comparison
| Metric | Top Pick Me Muse Spark 1.3 (max) | Al Qwen3.8 Max (0902) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.25/1M | $2.00/1M |
| Output Cost | $4.25/1M | $6.00/1M |
| Blended (3:1) | $2.00/1M | $3.00/1M |
| Specifications | ||
| Organization | Meta | Alibaba |
| Release Date | Sep 2, 2026 | Sep 2, 2026 |
| Performance & Speed | ||
| Throughput | 225.9 tok/s | 39.7 tok/s |
| TTFT | 27010ms | 2780ms |
| Latency | 35870ms | 53180ms |
| Composite Indices | ||
| Value Score | 100.0 | 62.8 |
| Reasoning Score | 48.2 | 45.4 |
| Intelligence | 48.2 | 45.4 |
| Coding | 75.8 | 76.2 |
Key Takeaways
Muse Spark 1.3 (max) offers the best value at $1.25/1M,making it ideal for high-volume applications and cost-conscious projects.
Muse Spark 1.3 (max) has the strongest reasoning profile with a 48.2 reasoning score,combining the available reasoning-heavy benchmarks.
Qwen3.8 Max (0902) reaches a 76.2 coding index,making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Muse Spark 1.3 (max)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
Qwen3.8 Max (0902)
- Code generation
- Software development
