Model Comparison
gpt-oss-120b (high)
vs. Muse Spark
Comparing 2 AI models · 10 benchmarks · OpenAI, Meta
Recommended Pick
Strongest on: Input price, Output price, TTFT
Lowest Price
Muse Spark
$0.00/1M input price
Best Reasoning
gpt-oss-120b (high)
63.4 reasoning score
Blends available reasoning benchmarks
Best for Coding
Muse Spark
47.5 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Price gap
Muse Spark is ∞x cheaper on input tokens than gpt-oss-120b (high).
Reasoning gap
gpt-oss-120b (high) leads Muse Spark by 3.2 points on reasoning.
Coding gap
Muse Spark leads gpt-oss-120b (high) by 18.9 points on coding.
Top-pick rationale
Muse Spark wins 13 measurable categories, including Input price, Output price, TTFT, Latency.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
gpt-oss-120b (high)
OpenAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Muse Spark
Meta
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Op gpt-oss-120b (high) | Top Pick Me Muse Spark |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.15/1M | $0.00/1M |
| Output Cost | $0.60/1M | $0.00/1M |
| Blended (3:1) | $0.26/1M | — |
| Specifications | ||
| Organization | OpenAI | Meta |
| Release Date | Aug 5, 2025 | Apr 8, 2026 |
| Performance & Speed | ||
| Throughput | 363.4 tok/s | — |
| TTFT | 530ms | — |
| Latency | 6034ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 63.4 | 60.2 |
| Intelligence | 33.3 | 52.2 |
| Coding | 28.6 | 47.5 |
| Math | 93.4 | — |
| Standard Benchmarks | ||
| GPQA | 78.2% | 88.4% |
| MMLU Pro | 80.8% | — |
| HLE | 18.5% | 39.9% |
| LiveCodeBench | 87.8% | — |
| AIME 2025 | 93.4% | — |
| SciCode | 38.9% | 51.5% |
| LCR | 50.7% | 69.7% |
| IFBench | 69.0% | 75.9% |
| TAU-bench v2 | 65.8% | 91.5% |
| TerminalBench Hard | 23.5% | 45.5% |
Key Takeaways
Muse Spark offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
gpt-oss-120b (high) has the strongest reasoning profile with a 63.4 reasoning score, combining the available reasoning-heavy benchmarks.
Muse Spark reaches a 47.5 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
gpt-oss-120b (high)
- Complex reasoning tasks
- Research & analysis
Muse Spark
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development