Model comparison
Laguna XS.2 vs Qwen3.6-35B-A3B
Head-to-head evidence from 5 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Laguna XS.2 unranked (Not scored); Qwen3.6-35B-A3B #109 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Laguna XS.2 and Qwen3.6-35B-A3B share 5 comparable benchmark results. 2 of 8 categories are comparable. 0 results are unique to Laguna XS.2; 52 to Qwen3.6-35B-A3B.
Updated July 27, 2026- Shared results
- 5
- Laguna XS.2 only
- 0
- Qwen3.6-35B-A3B only
- 52
- Comparable categories
- 2 / 8
Treat this as a split decision. Laguna XS.2 makes more sense if its workflow fits your team better; Qwen3.6-35B-A3B is the better fit if agentic is the priority or you need the larger 262K context window.
Confidence note. This is a partial-evidence comparison with 5 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
Laguna XS.2 and Qwen3.6-35B-A3B 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.
Qwen3.6-35B-A3B gives you the larger context window at 262K, compared with 256K for Laguna XS.2.
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 | Laguna XS.2 | Δ | Qwen3.6-35B-A3B |
|---|---|---|---|
| Agentic | Laguna XS.235.7 | Margin→ 15.8 | Qwen3.6-35B-A3B51.5 |
| Coding | Laguna XS.260.8 | Margin→ 13.0 | Qwen3.6-35B-A3B73.8 |
| Knowledge | Laguna XS.2Not measured | MarginNo overlap | Qwen3.6-35B-A3B51.4 |
| Math | Laguna XS.2Not measured | MarginNo overlap | Qwen3.6-35B-A3B88.2 |
| Multimodal | Laguna XS.2Not measured | MarginNo overlap | Qwen3.6-35B-A3B76.3 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
Terminal-Bench 2.0
AgenticA 35.7%B 51.5%Winner: Qwen3.6-35B-A3BΔ 15.8Terminal-Bench 2.0: Laguna XS.2 scored 35.7%; Qwen3.6-35B-A3B scored 51.5%. Qwen3.6-35B-A3B wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 69.9%B 73.4%Winner: Qwen3.6-35B-A3BΔ 3.5SWE-bench Verified: Laguna XS.2 scored 69.9%; Qwen3.6-35B-A3B scored 73.4%. Qwen3.6-35B-A3B wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 46.3%B 49.5%Winner: Qwen3.6-35B-A3BΔ 3.2SWE-bench Pro: Laguna XS.2 scored 46.3%; Qwen3.6-35B-A3B scored 49.5%. Qwen3.6-35B-A3B wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Laguna XS.2 | Qwen3.6-35B-A3B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Laguna XS.2$0 input / $0 output | Qwen3.6-35B-A3BNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Laguna XS.2Not available | Qwen3.6-35B-A3BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Laguna XS.2Not available | Qwen3.6-35B-A3BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Laguna XS.2256K | Qwen3.6-35B-A3B262K | Qwen3.6-35B-A3B lists the larger context window. |
Benchmark Deep Dive
AgenticQwen3.6-35B-A3B wins15 benchmarks
| Benchmark | Laguna XS.2 | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 35.7% | 51.5% | Qwen3.6-35B-A3B leads |
| Claw-EvalSource | — | 68.7% | Not comparable |
| QwenClawBenchSource | — | 52.6% | Not comparable |
| QwenWebBenchSource | — | 1397 | Not comparable |
| τ³-bench resultsSource | — | 67.2% | Not comparable |
| VITA-BenchSource | — | 35.6% | Not comparable |
| DeepPlanningSource | — | 25.9% | Not comparable |
| ToolathlonSource | — | 26.9% | Not comparable |
| MCP AtlasSource | — | 62.8% | Not comparable |
| WideResearchSource | — | 60.1% | Not comparable |
| AA Agentic IndexSource | — | 21.4% | Not comparable |
| τ²-bench resultsSource | — | 95.3% | Not comparable |
| GDPval-AASource | — | 27.6% | Not comparable |
| GDPval-AASource | — | 1052 | Not comparable |
| Gert LabsSource | — | 42.65% | Not comparable |
CodingQwen3.6-35B-A3B wins8 benchmarks
| Benchmark | Laguna XS.2 | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 69.9% | 73.4% | Qwen3.6-35B-A3B leads |
| SWE MultilingualSource | 57.7% | 67.2% | Qwen3.6-35B-A3B leads |
| SWE-bench ProSource | 46.3% | 49.5% | Qwen3.6-35B-A3B leads |
| Terminal-Bench 2.0Source | 35.7% | 51.5% | Qwen3.6-35B-A3B leads |
| LiveCodeBenchSource | — | 80.4% | Not comparable |
| NL2RepoSource | — | 29.4% | Not comparable |
| AA Coding IndexSource | — | 41.9% | Not comparable |
| AA-SciCodeSource | — | 35.8% | Not comparable |
Reasoning2 benchmarks
Knowledge11 benchmarks
| Benchmark | Laguna XS.2 | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| MMLU-ProSource | — | 85.2% | Not comparable |
| SuperGPQASource | — | 64.7% | Not comparable |
| C-EvalSource | — | 90% | Not comparable |
| GPQASource | — | 86% | Not comparable |
| HLESource | — | 21.4% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 31.6% | Not comparable |
| AA-GPQA DiamondSource | — | 84.1% | Not comparable |
| AA-HLESource | — | 20.2% | Not comparable |
| AA-Omniscience IndexSource | — | -21.4% | Not comparable |
| AA-Omniscience AccuracySource | — | 18.9% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 49.7% | Not comparable |
Math5 benchmarks
Multimodal15 benchmarks
| Benchmark | Laguna XS.2 | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| MMMUSource | — | 81.7% | Not comparable |
| MMMU-ProSource | — | 75.3% | Not comparable |
| RealWorldQASource | — | 85.3% | Not comparable |
| OmniDocBench 1.5Source | — | 89.9% | Not comparable |
| CharXivSource | — | 78% | Not comparable |
| SimpleVQASource | — | 58.9% | Not comparable |
| CC-OCRSource | — | 81.9% | Not comparable |
| AI2D_TESTSource | — | 92.7% | Not comparable |
| RefCOCO (avg)Source | — | 92.0% | Not comparable |
| ODINW13Source | — | 50.8% | Not comparable |
| Video-MME (with subtitle)Source | — | 86.6% | Not comparable |
| Video-MME (w/o subtitle)Source | — | 82.5% | Not comparable |
| VideoMMMUSource | — | 83.7% | Not comparable |
| MLVU (M-Avg)Source | — | 86.2% | Not comparable |
| AA-MMMU-ProSource | — | 75.0% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Laguna XS.2 | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 64.4% | Not comparable |
Frequently Asked Questions (3)
Which is better, Laguna XS.2 or Qwen3.6-35B-A3B?
Laguna XS.2 and Qwen3.6-35B-A3B 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, Laguna XS.2 or Qwen3.6-35B-A3B?
Qwen3.6-35B-A3B has the edge for coding in this comparison, averaging 73.8 versus 60.8. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Laguna XS.2 or Qwen3.6-35B-A3B?
Qwen3.6-35B-A3B has the edge for agentic tasks in this comparison, averaging 51.5 versus 35.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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