Model Comparison
Muse Spark 1.2 (xhigh)
vs. GPT-5.6 Sol (max)
Comparing 2 AI models · 7 benchmarks · Meta, OpenAI
Recommended Pick
MeMuse Spark 1.2 (xhigh)8 metric winsStrongest on: Value, Input price, Output price
Best Value
Muse Spark 1.2 (xhigh)
100.0 value score
64.2 reasoning / $2.00/1M
Lowest Price
Muse Spark 1.2 (xhigh)
$1.25/1M input price
Best Reasoning
GPT-5.6 Sol (max)
68.2 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-5.6 Sol (max)
77.4 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
Muse Spark 1.2 (xhigh) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Muse Spark 1.2 (xhigh) is 4.0x cheaper on input tokens than GPT-5.6 Sol (max).
Reasoning gap
GPT-5.6 Sol (max) leads Muse Spark 1.2 (xhigh) by 3.9 points on reasoning.
Coding gap
GPT-5.6 Sol (max) leads Muse Spark 1.2 (xhigh) by 5.2 points on coding.
Top-pick rationale
Muse Spark 1.2 (xhigh) wins 8 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 Spark 1.2 (xhigh)
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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GPT-5.6 Sol (max)
OpenAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Top Pick Me Muse Spark 1.2 (xhigh) | Op GPT-5.6 Sol (max) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.25/1M | $5.00/1M |
| Output Cost | $4.25/1M | $30.00/1M |
| Blended (3:1) | $2.00/1M | $11.25/1M |
| Specifications | ||
| Organization | Meta | OpenAI |
| Release Date | Aug 5, 2026 | Jul 9, 2026 |
| Performance & Speed | ||
| Throughput | — | 68.7 tok/s |
| TTFT | — | 79523ms |
| Latency | — | 79523ms |
| Composite Indices | ||
| Value Score | 100.0 | 18.9 |
| Reasoning Score | 64.2 | 68.2 |
| Intelligence | 56.8 | 60.9 |
| Coding | 72.2 | 77.4 |
| Standard Benchmarks | ||
| GPQA | 90.4% | 94.1% |
| HLE | 45.5% | 49.5% |
| SciCode | 56.4% | 56.1% |
| LCR | 83.3% | 77.7% |
| IFBench | — | 72.7% |
| TAU-bench v2 | — | 85.1% |
| TerminalBench Hard | — | 65.9% |
Key Takeaways
Muse Spark 1.2 (xhigh) offers the best value at $1.25/1M,making it ideal for high-volume applications and cost-conscious projects.
GPT-5.6 Sol (max) has the strongest reasoning profile with a 68.2 reasoning score,combining the available reasoning-heavy benchmarks.
GPT-5.6 Sol (max) reaches a 77.4 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 1.2 (xhigh)
- Cost-sensitive applications
- High-volume processing
GPT-5.6 Sol (max)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
