Model comparison
Qwen3.5-35B-A3B vs Soofi S 30B-A3B
Head-to-head evidence from 2 shared benchmark results across 1 category. Overall scores shown here use BenchLM's provisional ranking lane.
Verified leaderboard positions: Qwen3.5-35B-A3B #28; Soofi S 30B-A3B unranked
Evidence parity. Qwen3.5-35B-A3B and Soofi S 30B-A3B share 2 comparable benchmark results. 1 of 8 categories are comparable. 27 results are unique to Qwen3.5-35B-A3B; 6 to Soofi S 30B-A3B.
Updated July 15, 2026- Shared results
- 2
- Qwen3.5-35B-A3B only
- 27
- Soofi S 30B-A3B only
- 6
- Comparable categories
- 1 / 8
Pick Qwen3.5-35B-A3B if you want the stronger benchmark profile. Soofi S 30B-A3B only becomes the better choice if you need the larger 1M context window or you would rather avoid the extra latency and token burn of a reasoning model.
Confidence note. This is a partial-evidence comparison with 2 shared benchmark results across 1 evidence category; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Qwen3.5-35B-A3B is clearly ahead on the provisional aggregate, 53 to 45. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.5-35B-A3B's sharpest advantage is in knowledge, where it averages 81.7 against 49.9. The single biggest benchmark swing on the page is GPQA, 84.2% to 43.4%.
Qwen3.5-35B-A3B is the reasoning model in the pair, while Soofi S 30B-A3B is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Soofi S 30B-A3B gives you the larger context window at 1M, compared with 262K for Qwen3.5-35B-A3B.
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 | Qwen3.5-35B-A3B | Δ | Soofi S 30B-A3B |
|---|---|---|---|
| Knowledge | Qwen3.5-35B-A3B81.7 | Margin← 31.8 | Soofi S 30B-A3B49.9 |
| Agentic | Qwen3.5-35B-A3B51.0 | MarginNo overlap | Soofi S 30B-A3BNot measured |
| Coding | Qwen3.5-35B-A3B60.6 | MarginNo overlap | Soofi S 30B-A3BNot measured |
| Reasoning | Qwen3.5-35B-A3B59.0 | MarginNo overlap | Soofi S 30B-A3BNot measured |
| Multilingual | Qwen3.5-35B-A3B81.0 | MarginNo overlap | Soofi S 30B-A3BNot measured |
| Inst. Following | Qwen3.5-35B-A3B91.9 | MarginNo overlap | Soofi S 30B-A3BNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 84.2%B 43.4%Winner: Qwen3.5-35B-A3BΔ 40.8GPQA: Qwen3.5-35B-A3B scored 84.2%; Soofi S 30B-A3B scored 43.4%. Qwen3.5-35B-A3B wins this benchmark. - Source ↗
MMLU-Pro
KnowledgeA 85.3%B 51.4%Winner: Qwen3.5-35B-A3BΔ 33.9MMLU-Pro: Qwen3.5-35B-A3B scored 85.3%; Soofi S 30B-A3B scored 51.4%. Qwen3.5-35B-A3B wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Qwen3.5-35B-A3B | Soofi S 30B-A3B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Qwen3.5-35B-A3B$0 input / $0 output | Soofi S 30B-A3B$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | Qwen3.5-35B-A3BNot available | Soofi S 30B-A3BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Qwen3.5-35B-A3BNot available | Soofi S 30B-A3BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Qwen3.5-35B-A3B262K | Soofi S 30B-A3B1M | Soofi S 30B-A3B lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding5 benchmarks
Reasoning5 benchmarks
KnowledgeQwen3.5-35B-A3B wins11 benchmarks
| Benchmark | Qwen3.5-35B-A3B | Soofi S 30B-A3B | Result |
|---|---|---|---|
| MMLU-ProSource | 85.3% | 51.4% | Qwen3.5-35B-A3B leads |
| SuperGPQASource | 63.4% | — | Not comparable |
| GPQASource | 84.2% | 43.4% | Qwen3.5-35B-A3B leads |
| Artificial Analysis Intelligence IndexSource | 29.3% | — | Not comparable |
| AA-GPQA DiamondSource | 84.5% | — | Not comparable |
| AA-HLESource | 19.7% | — | Not comparable |
| AA-Omniscience IndexSource | -46.4% | — | Not comparable |
| AA-Omniscience AccuracySource | 20.5% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 84.0% | — | Not comparable |
| GPQA-DSource | — | 43.4% | Not comparable |
| AGIEvalSource | — | 66.9% | Not comparable |
Math1 benchmarks
| Benchmark | Qwen3.5-35B-A3B | Soofi S 30B-A3B | Result |
|---|---|---|---|
| GSM8KSource | — | 86.1% | Not comparable |
Multilingual1 benchmarks
| Benchmark | Qwen3.5-35B-A3B | Soofi S 30B-A3B | Result |
|---|---|---|---|
| MMLU-ProXSource | 81% | — | Not comparable |
Multimodal5 benchmarks
Frequently Asked Questions (2)
Which is better, Qwen3.5-35B-A3B or Soofi S 30B-A3B?
Qwen3.5-35B-A3B is ahead on BenchLM's provisional leaderboard, 53 to 45. The biggest single separator in this matchup is GPQA, where the scores are 84.2% and 43.4%.
Which is better for knowledge tasks, Qwen3.5-35B-A3B or Soofi S 30B-A3B?
Qwen3.5-35B-A3B has the edge for knowledge tasks in this comparison, averaging 81.7 versus 49.9. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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