Model comparison
Holo3.1-9B vs Qwen3.5-27B
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Holo3.1-9B unranked (Not scored); Qwen3.5-27B #45 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Holo3.1-9B and Qwen3.5-27B share 0 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to Holo3.1-9B; 28 to Qwen3.5-27B.
Updated July 21, 2026- Shared results
- 0
- Holo3.1-9B only
- 1
- Qwen3.5-27B only
- 28
- Comparable categories
- 0 / 8
Benchmark data for Holo3.1-9B and Qwen3.5-27B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Holo3.1-9B | Qwen3.5-27B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Holo3.1-9B$0 input / $0 output | Qwen3.5-27B$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | Holo3.1-9BNot available | Qwen3.5-27BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Holo3.1-9BNot available | Qwen3.5-27BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Holo3.1-9B262K | Qwen3.5-27B262K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic6 benchmarks
Coding3 benchmarks
Reasoning3 benchmarks
Knowledge9 benchmarks
| Benchmark | Holo3.1-9B | Qwen3.5-27B | Result |
|---|---|---|---|
| MMLU-ProSource | — | 86.1% | Not comparable |
| SuperGPQASource | — | 65.6% | Not comparable |
| GPQASource | — | 85.5% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 33.8% | Not comparable |
| AA-GPQA DiamondSource | — | 85.8% | Not comparable |
| AA-HLESource | — | 22.2% | Not comparable |
| AA-Omniscience IndexSource | — | -42.0% | Not comparable |
| AA-Omniscience AccuracySource | — | 21.0% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 79.7% | Not comparable |
Multilingual1 benchmarks
| Benchmark | Holo3.1-9B | Qwen3.5-27B | Result |
|---|---|---|---|
| MMLU-ProXSource | — | 82.2% | Not comparable |
Multimodal5 benchmarks
Frequently Asked Questions (3)
Can I compare Holo3.1-9B and Qwen3.5-27B on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Holo3.1-9B and Qwen3.5-27B today?
Holo3.1-9B: $0.00 input / $0.00 output per 1M tokens Qwen3.5-27B: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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