Model comparison
Laguna S 2.1 vs Qwen3.6-35B-A3B
Head-to-head evidence from 4 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Laguna S 2.1 unranked (Not scored); Qwen3.6-35B-A3B #104 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Laguna S 2.1 and Qwen3.6-35B-A3B share 4 comparable benchmark results. 2 of 8 categories are comparable. 2 results are unique to Laguna S 2.1; 53 to Qwen3.6-35B-A3B.
Updated July 21, 2026- Shared results
- 4
- Laguna S 2.1 only
- 2
- Qwen3.6-35B-A3B only
- 53
- Comparable categories
- 2 / 8
Treat this as a split decision. Laguna S 2.1 makes more sense if agentic is the priority or you need the larger 1M context window; Qwen3.6-35B-A3B is the better fit if coding is the priority.
Confidence note. This is a partial-evidence comparison with 4 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 S 2.1 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.
Laguna S 2.1 gives you the larger context window at 1M, compared with 262K for Qwen3.6-35B-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 | Laguna S 2.1 | Δ | Qwen3.6-35B-A3B |
|---|---|---|---|
| Agentic | Laguna S 2.170.2 | Margin← 18.7 | Qwen3.6-35B-A3B51.5 |
| Coding | Laguna S 2.159.4 | Margin→ 14.4 | Qwen3.6-35B-A3B73.8 |
| Knowledge | Laguna S 2.1Not measured | MarginNo overlap | Qwen3.6-35B-A3B51.4 |
| Math | Laguna S 2.1Not measured | MarginNo overlap | Qwen3.6-35B-A3B88.2 |
| Multimodal | Laguna S 2.1Not 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 70.2%B 51.5%Winner: Laguna S 2.1Δ 18.7Terminal-Bench 2.0: Laguna S 2.1 scored 70.2%; Qwen3.6-35B-A3B scored 51.5%. Laguna S 2.1 wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 59.4%B 49.5%Winner: Laguna S 2.1Δ 9.9SWE-bench Pro: Laguna S 2.1 scored 59.4%; Qwen3.6-35B-A3B scored 49.5%. Laguna S 2.1 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Laguna S 2.1 | Qwen3.6-35B-A3B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Laguna S 2.1$0.1 input / $0.2 output | Qwen3.6-35B-A3BNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Laguna S 2.1Not available | Qwen3.6-35B-A3BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Laguna S 2.1Not available | Qwen3.6-35B-A3BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Laguna S 2.11M | Qwen3.6-35B-A3B262K | Laguna S 2.1 lists the larger context window. |
Benchmark Deep Dive
AgenticLaguna S 2.1 wins16 benchmarks
| Benchmark | Laguna S 2.1 | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 70.2% | 51.5% | Laguna S 2.1 leads |
| Toolathlon-VerifiedSource | 49.7% | — | Not comparable |
| 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 | — | 27.4% | Not comparable |
| GDPval-AASource | — | 1049 | Not comparable |
| Gert LabsSource | — | 42.65% | Not comparable |
CodingQwen3.6-35B-A3B wins9 benchmarks
| Benchmark | Laguna S 2.1 | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 70.2% | 51.5% | Laguna S 2.1 leads |
| SWE MultilingualSource | 78.5% | 67.2% | Laguna S 2.1 leads |
| SWE-bench ProSource | 59.4% | 49.5% | Laguna S 2.1 leads |
| deepSweSource | 40.4% | — | Not comparable |
| SWE-bench VerifiedSource | — | 73.4% | Not comparable |
| 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 S 2.1 | 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 S 2.1 | 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 S 2.1 | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 64.4% | Not comparable |
Frequently Asked Questions (3)
Which is better, Laguna S 2.1 or Qwen3.6-35B-A3B?
Laguna S 2.1 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 S 2.1 or Qwen3.6-35B-A3B?
Qwen3.6-35B-A3B has the edge for coding in this comparison, averaging 73.8 versus 59.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Laguna S 2.1 or Qwen3.6-35B-A3B?
Laguna S 2.1 has the edge for agentic tasks in this comparison, averaging 70.2 versus 51.5. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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