Model Comparison
Muse Wonder (Max)
vs. Qwen3.8 Max (0902)
Comparing 2 AI models · 0 benchmarks · Meta, Alibaba
Recommended Pick
Strongest on: Value, Input price, Output price
Best Value
Qwen3.8 Max (0902)
100.0 value score
33.6 reasoning / $3.00/1M
Lowest Price
Qwen3.8 Max (0902)
$2.00/1M input price
Best Reasoning
Muse Wonder (Max)
43.3 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.8 Max (0902)
76.2 coding index
Differences That Matter
Best value
Qwen3.8 Max (0902) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3.8 Max (0902) is 2.0x cheaper on input tokens than Muse Wonder (Max).
Speed gap
Muse Wonder (Max) generates about 5.0x as many tokens per second as Qwen3.8 Max (0902).
Reasoning gap
Muse Wonder (Max) leads Qwen3.8 Max (0902) by 9.7 points on reasoning.
Top-pick rationale
Qwen3.8 Max (0902) wins 5 measurable categories, including Value, Input price, Output price, Blended price.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Muse Wonder (Max)
Meta
TTFT
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Time
—
tok/s
—
Tokens
—
Cost
—
Qwen3.8 Max (0902)
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Me Muse Wonder (Max) | Top Pick Al Qwen3.8 Max (0902) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $4.00/1M | $2.00/1M |
| Output Cost | $20.00/1M | $6.00/1M |
| Blended (3:1) | $8.00/1M | $3.00/1M |
| Specifications | ||
| Organization | Meta | Alibaba |
| Release Date | Oct 12, 2026 | Sep 2, 2026 |
| Performance & Speed | ||
| Throughput | 207.8 tok/s | 41.6 tok/s |
| TTFT | 31620ms | 3020ms |
| Latency | 41240ms | 51050ms |
| Composite Indices | ||
| Value Score | 48.3 | 100.0 |
| Reasoning Score | 43.3 | 33.6 |
| Intelligence | 43.3 | 33.6 |
| Coding | — | 76.2 |
Key Takeaways
Qwen3.8 Max (0902) offers the best value at $2.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Muse Wonder (Max) has the strongest reasoning profile with a 43.3 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 Wonder (Max)
- Complex reasoning tasks
- Research & analysis
Qwen3.8 Max (0902)
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development