Compare · ModelsLive · 2 picked · head to head
Muse Spark vs gpt-oss-120b (free)
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Muse Spark wins on 3/3 benchmarks
Muse Spark wins 3 of 3 shared benchmarks. Leads in speed.
Category leads
speed·Muse Spark
Hype vs Reality
Attention vs performance
Muse Spark
#83 by perf·no signal
gpt-oss-120b (free)
#26 by perf·no signal
Vendor risk
Who is behind the model
U
Unknown
private · undisclosed
OpenAI
$840.0B·Tier 1
Head to head
3 benchmarks · 2 models
Muse Sparkgpt-oss-120b (free)
Artificial Analysis · Agentic Index
Muse Spark leads by +15.5
Artificial Analysis Agentic Index · a composite score measuring how well a model performs in agentic workflows · multi-step tool use, planning, error recovery, and autonomous task completion. Aggregates results from multiple agentic benchmarks including SWE-bench, tool-use tests, and planning evaluations. The canonical single-number metric for "how good is this model as an agent?"
Muse Spark
28.7
gpt-oss-120b (free)
13.2
Artificial Analysis · Coding Index
Muse Spark leads by +28.2
Artificial Analysis Coding Index · a composite score that aggregates performance across multiple coding benchmarks into a single index. Tracks code generation quality, debugging ability, multi-language competence, and real-world software engineering tasks. Used by Artificial Analysis to rank model coding capability in a normalized, comparable format. Useful for developers choosing between models for coding-heavy workloads.
Muse Spark
58.6
gpt-oss-120b (free)
30.4
Artificial Analysis · Quality Index
Muse Spark leads by +19.2
Muse Spark
43.1
gpt-oss-120b (free)
23.8
Full benchmark table
| Benchmark | Muse Spark | gpt-oss-120b (free) |
|---|---|---|
Artificial Analysis · Agentic Index Artificial Analysis Agentic Index · a composite score measuring how well a model performs in agentic workflows · multi-step tool use, planning, error recovery, and autonomous task completion. Aggregates results from multiple agentic benchmarks including SWE-bench, tool-use tests, and planning evaluations. The canonical single-number metric for "how good is this model as an agent?" | 28.7 | 13.2 |
Artificial Analysis · Coding Index Artificial Analysis Coding Index · a composite score that aggregates performance across multiple coding benchmarks into a single index. Tracks code generation quality, debugging ability, multi-language competence, and real-world software engineering tasks. Used by Artificial Analysis to rank model coding capability in a normalized, comparable format. Useful for developers choosing between models for coding-heavy workloads. | 58.6 | 30.4 |
Artificial Analysis · Quality Index | 43.1 | 23.8 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
U Muse Spark | — | — | — | — |
| $0.00 | $0.00 | 131K tokens (~66 books) | — |