Model comparison
Laguna XS.2 vs Qwen3.5 397B
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: Laguna XS.2 unranked (Not scored); Qwen3.5 397B #78 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Laguna XS.2 and Qwen3.5 397B share 3 comparable benchmark results. 2 of 8 categories are comparable. 2 results are unique to Laguna XS.2; 52 to Qwen3.5 397B.
Updated July 27, 2026- Shared results
- 3
- Laguna XS.2 only
- 2
- Qwen3.5 397B only
- 52
- Comparable categories
- 2 / 8
Treat this as a split decision. Laguna XS.2 makes more sense if you want the cheaper token bill or you need the larger 256K context window; Qwen3.5 397B is the better fit if agentic is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
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
Laguna XS.2 and Qwen3.5 397B 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.
Qwen3.5 397B is also the more expensive model on tokens at $0.60 input / $3.60 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Laguna XS.2. That is roughly Infinityx on output cost alone. Laguna XS.2 is the reasoning model in the pair, while Qwen3.5 397B 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. Laguna XS.2 gives you the larger context window at 256K, compared with 128K for Qwen3.5 397B.
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 | Qwen3.5 397B |
|---|---|---|---|
| Agentic | Laguna XS.235.7 | Margin→ 20.8 | Qwen3.5 397B56.5 |
| Coding | Laguna XS.260.8 | Margin→ 5.7 | Qwen3.5 397B66.5 |
| Reasoning | Laguna XS.2Not measured | MarginNo overlap | Qwen3.5 397B63.2 |
| Knowledge | Laguna XS.2Not measured | MarginNo overlap | Qwen3.5 397B56.6 |
| Math | Laguna XS.2Not measured | MarginNo overlap | Qwen3.5 397B90.6 |
| Multilingual | Laguna XS.2Not measured | MarginNo overlap | Qwen3.5 397B84.7 |
| Multimodal | Laguna XS.2Not measured | MarginNo overlap | Qwen3.5 397B79.6 |
| Inst. Following | Laguna XS.2Not measured | MarginNo overlap | Qwen3.5 397B92.6 |
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 52.5%Winner: Qwen3.5 397BΔ 16.8Terminal-Bench 2.0: Laguna XS.2 scored 35.7%; Qwen3.5 397B scored 52.5%. Qwen3.5 397B wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 69.9%B 76.2%Winner: Qwen3.5 397BΔ 6.3SWE-bench Verified: Laguna XS.2 scored 69.9%; Qwen3.5 397B scored 76.2%. Qwen3.5 397B wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 46.3%B 50.9%Winner: Qwen3.5 397BΔ 4.6SWE-bench Pro: Laguna XS.2 scored 46.3%; Qwen3.5 397B scored 50.9%. Qwen3.5 397B wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Laguna XS.2 | Qwen3.5 397B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Laguna XS.2$0 input / $0 output | Qwen3.5 397B$0.6 input / $3.6 output | Laguna XS.2 has the lower combined listed price. |
| Generation speedtokens per second | Laguna XS.2Not available | Qwen3.5 397B96 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Laguna XS.2Not available | Qwen3.5 397B2.44 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Laguna XS.2256K | Qwen3.5 397B128K | Laguna XS.2 lists the larger context window. |
Benchmark Deep Dive
AgenticQwen3.5 397B wins18 benchmarks
| Benchmark | Laguna XS.2 | Qwen3.5 397B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 35.7% | 52.5% | Qwen3.5 397B leads |
| BrowseCompSource | — | 62% | Not comparable |
| Claw-EvalSource | — | 56.8% | Not comparable |
| QwenClawBenchSource | — | 51.8% | Not comparable |
| τ³-bench resultsSource | — | 68.4% | Not comparable |
| VITA-BenchSource | — | 43.7% | Not comparable |
| DeepPlanningSource | — | 37.6% | Not comparable |
| ToolathlonSource | — | 36.3% | Not comparable |
| MCP AtlasSource | — | 46.1% | Not comparable |
| MCP-TasksSource | — | 74.2% | Not comparable |
| WideResearchSource | — | 74.0% | Not comparable |
| τ²-bench resultsSource | — | 95.6% | Not comparable |
| Gert LabsSource | — | 46.76% | Not comparable |
| ResearchClawBenchSource | — | 14.2% | Not comparable |
| AA Agentic IndexSource | — | 19.9% | Not comparable |
| APEX-Agents-AASource | — | 15.3% | Not comparable |
| GDPval-AASource | — | 23.1% | Not comparable |
| GDPval-AASource | — | 962 | Not comparable |
CodingQwen3.5 397B wins7 benchmarks
| Benchmark | Laguna XS.2 | Qwen3.5 397B | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 69.9% | 76.2% | Qwen3.5 397B leads |
| SWE MultilingualSource | 57.7% | — | Not comparable |
| SWE-bench ProSource | 46.3% | 50.9% | Qwen3.5 397B leads |
| Terminal-Bench 2.0Source | 35.7% | — | Not comparable |
| LiveCodeBench v6Source | — | 83.6% | Not comparable |
| AA-SciCodeSource | — | 42.0% | Not comparable |
| AA Coding IndexSource | — | 48.2% | Not comparable |
Reasoning4 benchmarks
Knowledge12 benchmarks
| Benchmark | Laguna XS.2 | Qwen3.5 397B | Result |
|---|---|---|---|
| GPQASource | — | 88.4% | Not comparable |
| SuperGPQASource | — | 70.4% | Not comparable |
| MMLU-ProSource | — | 87.8% | Not comparable |
| MMLU-ReduxSource | — | 94.9% | Not comparable |
| C-EvalSource | — | 93% | Not comparable |
| HLESource | — | 28.7% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 33.7% | Not comparable |
| AA-GPQA DiamondSource | — | 89.3% | Not comparable |
| AA-HLESource | — | 27.3% | Not comparable |
| AA-Omniscience IndexSource | — | -29.8% | Not comparable |
| AA-Omniscience AccuracySource | — | 31.4% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 89.1% | Not comparable |
Math5 benchmarks
Multilingual2 benchmarks
Multimodal7 benchmarks
Frequently Asked Questions (3)
Which is better, Laguna XS.2 or Qwen3.5 397B?
Laguna XS.2 and Qwen3.5 397B 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 Qwen3.5 397B?
Qwen3.5 397B has the edge for coding in this comparison, averaging 66.5 versus 60.8. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Laguna XS.2 or Qwen3.5 397B?
Qwen3.5 397B has the edge for agentic tasks in this comparison, averaging 56.5 versus 35.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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