Model comparison
Claude Opus 4.8 vs Laguna XS.2
Head-to-head evidence from 5 shared benchmark results across 2 categories. Overall scores shown here use BenchLM's provisional ranking lane.
Verified leaderboard positions: Claude Opus 4.8 #3; Laguna XS.2 unranked
Evidence parity. Claude Opus 4.8 and Laguna XS.2 share 5 comparable benchmark results. 2 of 8 categories are comparable. 48 results are unique to Claude Opus 4.8; 0 to Laguna XS.2.
Updated July 12, 2026- Shared results
- 5
- Claude Opus 4.8 only
- 48
- Laguna XS.2 only
- 0
- Comparable categories
- 2 / 8
Pick Claude Opus 4.8 if you want the stronger benchmark profile. Laguna XS.2 only becomes the better choice if you want the cheaper token bill.
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
Claude Opus 4.8 is clearly ahead on the provisional aggregate, 85 to 45. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Opus 4.8's sharpest advantage is in agentic, where it averages 80.3 against 35.7. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 74.6% to 35.7%.
Claude Opus 4.8 is also the more expensive model on tokens at $5.00 input / $25.00 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. Claude Opus 4.8 gives you the larger context window at 1M, 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 | Claude Opus 4.8 | Δ | Laguna XS.2 |
|---|---|---|---|
| Agentic | Claude Opus 4.880.3 | Margin← 44.6 | Laguna XS.235.7 |
| Coding | Claude Opus 4.876.4 | Margin← 21.3 | Laguna XS.255.1 |
| Knowledge | Claude Opus 4.862.7 | MarginNo overlap | Laguna XS.2Not measured |
| Math | Claude Opus 4.853.9 | MarginNo overlap | Laguna XS.2Not measured |
| Multimodal | Claude Opus 4.877.0 | 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 74.6%B 35.7%Winner: Claude Opus 4.8Δ 38.9Terminal-Bench 2.0: Claude Opus 4.8 scored 74.6%; Laguna XS.2 scored 35.7%. Claude Opus 4.8 wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 69.2%B 46.3%Winner: Claude Opus 4.8Δ 22.9SWE-bench Pro: Claude Opus 4.8 scored 69.2%; Laguna XS.2 scored 46.3%. Claude Opus 4.8 wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 88.6%B 69.9%Winner: Claude Opus 4.8Δ 18.7SWE-bench Verified: Claude Opus 4.8 scored 88.6%; Laguna XS.2 scored 69.9%. Claude Opus 4.8 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Opus 4.8 | Laguna XS.2 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.8$5 input / $25 output | Laguna XS.2$0 input / $0 output | Laguna XS.2 has the lower combined listed price. |
| Generation speedtokens per second | Claude Opus 4.8Not available | Laguna XS.2Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.8Not available | Laguna XS.2Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.81M | Laguna XS.2256K | Claude Opus 4.8 lists the larger context window. |
Benchmark Deep Dive
AgenticClaude Opus 4.8 wins19 benchmarks
| Benchmark | Claude Opus 4.8 | Laguna XS.2 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 74.6% | 35.7% | Claude Opus 4.8 leads |
| BrowseCompSource | 84.3% | — | Not comparable |
| DeepSearchQASource | 93.1% | — | Not comparable |
| OSWorld-VerifiedSource | 83.4% | — | Not comparable |
| Finance Agent v2Source | 53.9% | — | Not comparable |
| GDPval-AASource | 1600 | — | Not comparable |
| MCP AtlasSource | 82.2% | — | Not comparable |
| ToolathlonSource | 59.9% | — | Not comparable |
| Gert LabsSource | 72.97% | — | Not comparable |
| AA Agentic IndexSource | 47.2% | — | Not comparable |
| Tau2-TelecomSource | 94.4% | — | Not comparable |
| GDPval-AASource | 55.0% | — | Not comparable |
| ResearchClawBenchSource | 21.1% | — | Not comparable |
| OSWorld 2.0Source | 20.6% | — | Not comparable |
| AA BriefcaseSource | 1354 | — | Not comparable |
| AA AutomationBenchSource | 48.5% | — | Not comparable |
| AA EnterpriseOps-GymSource | 44.0% | — | Not comparable |
| AA Harvey LABSource | 7.5% | — | Not comparable |
| AA Tau3 BankingSource | 27.6% | — | Not comparable |
CodingClaude Opus 4.8 wins12 benchmarks
| Benchmark | Claude Opus 4.8 | Laguna XS.2 | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 88.6% | 69.9% | Claude Opus 4.8 leads |
| SWE-bench ProSource | 69.2% | 46.3% | Claude Opus 4.8 leads |
| SWE MultilingualSource | 84.4% | 57.7% | Claude Opus 4.8 leads |
| SWE MultimodalSource | 38.4% | — | Not comparable |
| Terminal-Bench 2.0Source | 74.6% | 35.7% | Claude Opus 4.8 leads |
| cursorBench31Source | 58.4% | — | Not comparable |
| cursorBench32Source | 62.3% | — | Not comparable |
| AA Coding IndexSource | 74.3% | — | Not comparable |
| Terminal-Bench HardSource | 58.3% | — | Not comparable |
| AA-SciCodeSource | 53.5% | — | Not comparable |
| FrontierCodeSource | 46.5% | — | Not comparable |
| AA Terminal-Bench 2.1Source | 84.6% | — | Not comparable |
Reasoning2 benchmarks
Knowledge10 benchmarks
| Benchmark | Claude Opus 4.8 | Laguna XS.2 | Result |
|---|---|---|---|
| GPQASource | 93.6% | — | Not comparable |
| GPQA-DSource | 93.6% | — | Not comparable |
| HLESource | 57.9% | — | Not comparable |
| HLE w/o toolsSource | 49.8% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 55.7% | — | Not comparable |
| AA-GPQA DiamondSource | 92.0% | — | Not comparable |
| AA-HLESource | 45.7% | — | Not comparable |
| AA-Omniscience IndexSource | 27.4% | — | Not comparable |
| AA-Omniscience AccuracySource | 46.6% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 35.9% | — | Not comparable |
Math3 benchmarks
Multilingual1 benchmarks
| Benchmark | Claude Opus 4.8 | Laguna XS.2 | Result |
|---|---|---|---|
| INCLUDESource | 87.6% | — | Not comparable |
Multimodal5 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Opus 4.8 | Laguna XS.2 | Result |
|---|---|---|---|
| AA-IFBenchSource | 62.2% | — | Not comparable |
Frequently Asked Questions (3)
Which is better, Claude Opus 4.8 or Laguna XS.2?
Claude Opus 4.8 is ahead on BenchLM's provisional leaderboard, 85 to 45. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 74.6% and 35.7%.
Which is better for coding, Claude Opus 4.8 or Laguna XS.2?
Claude Opus 4.8 has the edge for coding in this comparison, averaging 76.4 versus 55.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Claude Opus 4.8 or Laguna XS.2?
Claude Opus 4.8 has the edge for agentic tasks in this comparison, averaging 80.3 versus 35.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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