Model Comparison
Muse Wonder (Max)
vs. V4.1 Flash 1017 (Max)
Comparing 2 AI models · 0 benchmarks · Meta, DeepSeek
Recommended Pick
DeV4.1 Flash 1017 (Max)6 metric winsStrongest on: Value, Input price, Output price
Best Value
V4.1 Flash 1017 (Max)
100.0 value score
32.5 reasoning / $0.52/1M
Lowest Price
V4.1 Flash 1017 (Max)
$0.30/1M input price
Best Reasoning
Muse Wonder (Max)
43.3 reasoning score
Blends available reasoning benchmarks
Differences That Matter
Best value
V4.1 Flash 1017 (Max) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
V4.1 Flash 1017 (Max) is 13.3x cheaper on input tokens than Muse Wonder (Max).
Speed gap
Muse Wonder (Max) generates about 1.2x as many tokens per second as V4.1 Flash 1017 (Max).
Reasoning gap
Muse Wonder (Max) leads V4.1 Flash 1017 (Max) by 10.8 points on reasoning.
Top-pick rationale
V4.1 Flash 1017 (Max) wins 6 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
—
Time
—
tok/s
—
Tokens
—
Cost
—
V4.1 Flash 1017 (Max)
DeepSeek
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Me Muse Wonder (Max) | Top Pick De V4.1 Flash 1017 (Max) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $4.00/1M | $0.30/1M |
| Output Cost | $20.00/1M | $1.20/1M |
| Blended (3:1) | $8.00/1M | $0.52/1M |
| Specifications | ||
| Organization | Meta | DeepSeek |
| Release Date | Oct 12, 2026 | Oct 17, 2026 |
| Performance & Speed | ||
| Throughput | 207.8 tok/s | 173.4 tok/s |
| TTFT | 31620ms | 1170ms |
| Latency | 41240ms | 12700ms |
| Composite Indices | ||
| Value Score | 8.7 | 100.0 |
| Reasoning Score | 43.3 | 32.5 |
| Intelligence | 43.3 | 32.5 |
Key Takeaways
V4.1 Flash 1017 (Max) offers the best value at $0.30/1M,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.
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
V4.1 Flash 1017 (Max)
- Cost-sensitive applications
- High-volume processing
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