Model comparison
Muse Spark 1.1 vs Ornith-1.0-9B
Head-to-head evidence from 3 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Muse Spark 1.1 #6 (Supported); Ornith-1.0-9B unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Muse Spark 1.1 and Ornith-1.0-9B share 3 comparable benchmark results. 2 of 8 categories are comparable. 36 results are unique to Muse Spark 1.1; 4 to Ornith-1.0-9B.
Updated July 23, 2026- Shared results
- 3
- Muse Spark 1.1 only
- 36
- Ornith-1.0-9B only
- 4
- Comparable categories
- 2 / 8
Treat this as a split decision. Muse Spark 1.1 makes more sense if agentic is the priority or you need the larger 1M context window; Ornith-1.0-9B is the better fit if its strengths line up with your actual workload.
Confidence note. This is a partial-evidence comparison with 3 shared benchmark results across 2 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Muse Spark 1.1 and Ornith-1.0-9B finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.
Muse Spark 1.1 gives you the larger context window at 1M, compared with 256K for Ornith-1.0-9B.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Muse Spark 1.1 | Δ | Ornith-1.0-9B |
|---|---|---|---|
| Agentic | Muse Spark 1.180.4 | Margin← 37.3 | Ornith-1.0-9B43.1 |
| Coding | Muse Spark 1.161.5 | Margin← 2.3 | Ornith-1.0-9B59.2 |
| Knowledge | Muse Spark 1.162.1 | MarginNo overlap | Ornith-1.0-9BNot measured |
| Multimodal | Muse Spark 1.188.4 | MarginNo overlap | Ornith-1.0-9BNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
Terminal-Bench 2.0
AgenticA 80%B 43.1%Winner: Muse Spark 1.1Δ 36.9Terminal-Bench 2.0: Muse Spark 1.1 scored 80%; Ornith-1.0-9B scored 43.1%. Muse Spark 1.1 wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 61.5%B 42.9%Winner: Muse Spark 1.1Δ 18.6SWE-bench Pro: Muse Spark 1.1 scored 61.5%; Ornith-1.0-9B scored 42.9%. Muse Spark 1.1 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Muse Spark 1.1 | Ornith-1.0-9B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Muse Spark 1.1Not available | Ornith-1.0-9B$0 input / $0 output | A complete price comparison is not available. |
| Generation speedtokens per second | Muse Spark 1.1Not available | Ornith-1.0-9BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Muse Spark 1.1Not available | Ornith-1.0-9BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Muse Spark 1.11M | Ornith-1.0-9B256K | Muse Spark 1.1 lists the larger context window. |
Benchmark Deep Dive
AgenticMuse Spark 1.1 wins21 benchmarks
| Benchmark | Muse Spark 1.1 | Ornith-1.0-9B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 80% | 43.1% | Muse Spark 1.1 leads |
| MCP AtlasSource | 88.1% | — | Not comparable |
| ToolathlonSource | 75.6% | — | Not comparable |
| OSWorld-VerifiedSource | 80.8% | — | Not comparable |
| DeepSearchQASource | 84.9% | — | Not comparable |
| CyberGymSource | 59.0% | — | Not comparable |
| Finance Agent v2Source | 57.2% | — | Not comparable |
| deepSweSource | 53.3% | — | Not comparable |
| OSWorld 2.0Source | 14.2% | — | Not comparable |
| JobBenchSource | 54.7% | — | Not comparable |
| CybenchSource | 92.9% | — | Not comparable |
| ExploitGymSource | 0.8% | — | Not comparable |
| AA Agentic IndexSource | 37.5% | — | Not comparable |
| GDPval-AASource | 43.7% | — | Not comparable |
| GDPval-AASource | 1374 | — | Not comparable |
| AA BriefcaseSource | 863 | — | Not comparable |
| AA AutomationBenchSource | 42.8% | — | Not comparable |
| AA Harvey LABSource | 93.1% | — | Not comparable |
| AA Tau3 BankingSource | 25.2% | — | Not comparable |
| aaTerminalBench21Source | 77.9% | — | Not comparable |
| Claw-EvalSource | — | 63.1% | Not comparable |
CodingMuse Spark 1.1 wins7 benchmarks
| Benchmark | Muse Spark 1.1 | Ornith-1.0-9B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 80.0% | 43.1% | Muse Spark 1.1 leads |
| SWE-bench ProSource | 61.5% | 42.9% | Muse Spark 1.1 leads |
| AA Coding IndexSource | 71.3% | — | Not comparable |
| AA-SciCodeSource | 58.2% | — | Not comparable |
| SWE-bench VerifiedSource | — | 69.4% | Not comparable |
| SWE MultilingualSource | — | 52% | Not comparable |
| NL2RepoSource | — | 27.2% | Not comparable |
Reasoning3 benchmarks
Knowledge9 benchmarks
| Benchmark | Muse Spark 1.1 | Ornith-1.0-9B | Result |
|---|---|---|---|
| HLESource | 62.1% | — | Not comparable |
| HLE w/o toolsSource | 52.2% | — | Not comparable |
| HealthBench ProfessionalSource | 59.3% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 50.6% | — | Not comparable |
| AA-GPQA DiamondSource | 89.8% | — | Not comparable |
| AA-HLESource | 45.1% | — | Not comparable |
| AA-Omniscience IndexSource | 18.0% | — | Not comparable |
| AA-Omniscience AccuracySource | 40.6% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 38.1% | — | Not comparable |
Frequently Asked Questions (3)
Which is better, Muse Spark 1.1 or Ornith-1.0-9B?
Muse Spark 1.1 and Ornith-1.0-9B are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.
Which is better for coding, Muse Spark 1.1 or Ornith-1.0-9B?
Muse Spark 1.1 has the edge for coding in this comparison, averaging 61.5 versus 59.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Muse Spark 1.1 or Ornith-1.0-9B?
Muse Spark 1.1 has the edge for agentic tasks in this comparison, averaging 80.4 versus 43.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Related Comparisons
Explore More
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.