Model comparison
Claude Sonnet 4.6 vs Laguna XS.2
Head-to-head evidence from 2 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Sonnet 4.6 #35 (Supported); Laguna XS.2 unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Sonnet 4.6 and Laguna XS.2 share 2 comparable benchmark results. 2 of 8 categories are comparable. 31 results are unique to Claude Sonnet 4.6; 3 to Laguna XS.2.
Updated July 27, 2026- Shared results
- 2
- Claude Sonnet 4.6 only
- 31
- Laguna XS.2 only
- 3
- Comparable categories
- 2 / 8
Treat this as a split decision. Claude Sonnet 4.6 makes more sense if agentic is the priority or you would rather avoid the extra latency and token burn of a reasoning model; Laguna XS.2 is the better fit if you want the cheaper token bill or you need the larger 256K context window.
Confidence note. This is a partial-evidence comparison with 2 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
Claude Sonnet 4.6 and Laguna XS.2 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.
Claude Sonnet 4.6 is also the more expensive model on tokens at $3.00 input / $15.00 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 Claude Sonnet 4.6 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 200K for Claude Sonnet 4.6.
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 | Claude Sonnet 4.6 | Δ | Laguna XS.2 |
|---|---|---|---|
| Agentic | Claude Sonnet 4.665.2 | Margin← 29.5 | Laguna XS.235.7 |
| Coding | Claude Sonnet 4.669.1 | Margin← 8.3 | Laguna XS.260.8 |
| Knowledge | Claude Sonnet 4.666.0 | MarginNo overlap | Laguna XS.2Not measured |
| Math | Claude Sonnet 4.626.4 | MarginNo overlap | Laguna XS.2Not measured |
| Multimodal | Claude Sonnet 4.677.4 | MarginNo overlap | Laguna XS.2Not measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
Terminal-Bench 2.0
AgenticA 59.1%B 35.7%Winner: Claude Sonnet 4.6Δ 23.4Terminal-Bench 2.0: Claude Sonnet 4.6 scored 59.1%; Laguna XS.2 scored 35.7%. Claude Sonnet 4.6 wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 79.6%B 69.9%Winner: Claude Sonnet 4.6Δ 9.7SWE-bench Verified: Claude Sonnet 4.6 scored 79.6%; Laguna XS.2 scored 69.9%. Claude Sonnet 4.6 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Sonnet 4.6 | Laguna XS.2 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Sonnet 4.6$3 input / $15 output | Laguna XS.2$0 input / $0 output | Laguna XS.2 has the lower combined listed price. |
| Generation speedtokens per second | Claude Sonnet 4.644 tok/s | Laguna XS.2Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Sonnet 4.61.48 s | Laguna XS.2Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Sonnet 4.6200K | Laguna XS.2256K | Laguna XS.2 lists the larger context window. |
Benchmark Deep Dive
AgenticClaude Sonnet 4.6 wins8 benchmarks
| Benchmark | Claude Sonnet 4.6 | Laguna XS.2 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 59.1% | 35.7% | Claude Sonnet 4.6 leads |
| OSWorld-VerifiedSource | 72.1% | — | Not comparable |
| Claw-EvalSource | 67.8% | — | Not comparable |
| CyberGymSource | 65.2% | — | Not comparable |
| τ²-bench resultsSource | 79.5% | — | Not comparable |
| Gert LabsSource | 62.92% | — | Not comparable |
| OSWorld 2.0Source | 8.3% | — | Not comparable |
| JobBenchSource | 36.9% | — | Not comparable |
CodingClaude Sonnet 4.6 wins10 benchmarks
| Benchmark | Claude Sonnet 4.6 | Laguna XS.2 | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 79.6% | 69.9% | Claude Sonnet 4.6 leads |
| SWE-RebenchSource | 60.7% | — | Not comparable |
| React Native EvalsSource | 80.6% | — | Not comparable |
| Vibe Code BenchSource | 51.48% | — | Not comparable |
| cursorBench31Source | 48.8% | — | Not comparable |
| AA-SciCodeSource | 46.9% | — | Not comparable |
| FrontierCode 1.1 MainSource | 24.3% | — | Not comparable |
| SWE MultilingualSource | — | 57.7% | Not comparable |
| SWE-bench ProSource | — | 46.3% | Not comparable |
| Terminal-Bench 2.0Source | — | 35.7% | Not comparable |
Reasoning2 benchmarks
Knowledge10 benchmarks
| Benchmark | Claude Sonnet 4.6 | Laguna XS.2 | Result |
|---|---|---|---|
| GPQASource | 89.9% | — | Not comparable |
| SuperGPQASource | 95% | — | Not comparable |
| MMLU-ProSource | 79.2% | — | Not comparable |
| HLESource | 49% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 35.9% | — | Not comparable |
| AA-GPQA DiamondSource | 79.9% | — | Not comparable |
| AA-HLESource | 13.2% | — | Not comparable |
| AA-Omniscience IndexSource | -2.9% | — | Not comparable |
| AA-Omniscience AccuracySource | 38.0% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 65.9% | — | Not comparable |
Math2 benchmarks
Multimodal3 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Sonnet 4.6 | Laguna XS.2 | Result |
|---|---|---|---|
| AA-IFBenchSource | 41.2% | — | Not comparable |
Frequently Asked Questions (3)
Which is better, Claude Sonnet 4.6 or Laguna XS.2?
Claude Sonnet 4.6 and Laguna XS.2 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, Claude Sonnet 4.6 or Laguna XS.2?
Claude Sonnet 4.6 has the edge for coding in this comparison, averaging 69.1 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, Claude Sonnet 4.6 or Laguna XS.2?
Claude Sonnet 4.6 has the edge for agentic tasks in this comparison, averaging 65.2 versus 35.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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