Model comparison
DeepSeek V4 Pro (Max) vs Laguna XS.2
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: DeepSeek V4 Pro (Max) #58 (Estimated); Laguna XS.2 unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V4 Pro (Max) and Laguna XS.2 share 5 comparable benchmark results. 2 of 8 categories are comparable. 43 results are unique to DeepSeek V4 Pro (Max); 0 to Laguna XS.2.
Updated July 27, 2026- Shared results
- 5
- DeepSeek V4 Pro (Max) only
- 43
- Laguna XS.2 only
- 0
- Comparable categories
- 2 / 8
Treat this as a split decision. DeepSeek V4 Pro (Max) makes more sense if agentic is the priority or you need the larger 1M context window; Laguna XS.2 is the better fit 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
DeepSeek V4 Pro (Max) 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.
DeepSeek V4 Pro (Max) is also the more expensive model on tokens at $0.43 input / $0.87 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. DeepSeek V4 Pro (Max) 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 | DeepSeek V4 Pro (Max) | Δ | Laguna XS.2 |
|---|---|---|---|
| Agentic | DeepSeek V4 Pro (Max)74.5 | Margin← 38.8 | Laguna XS.235.7 |
| Coding | DeepSeek V4 Pro (Max)70.9 | Margin← 10.1 | Laguna XS.260.8 |
| Knowledge | DeepSeek V4 Pro (Max)60.1 | MarginNo overlap | Laguna XS.2Not measured |
| Math | DeepSeek V4 Pro (Max)95.2 | 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 67.9%B 35.7%Winner: DeepSeek V4 Pro (Max)Δ 32.2Terminal-Bench 2.0: DeepSeek V4 Pro (Max) scored 67.9%; Laguna XS.2 scored 35.7%. DeepSeek V4 Pro (Max) wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 80.6%B 69.9%Winner: DeepSeek V4 Pro (Max)Δ 10.7SWE-bench Verified: DeepSeek V4 Pro (Max) scored 80.6%; Laguna XS.2 scored 69.9%. DeepSeek V4 Pro (Max) wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 55.4%B 46.3%Winner: DeepSeek V4 Pro (Max)Δ 9.1SWE-bench Pro: DeepSeek V4 Pro (Max) scored 55.4%; Laguna XS.2 scored 46.3%. DeepSeek V4 Pro (Max) wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V4 Pro (Max) | Laguna XS.2 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V4 Pro (Max)$0.435 input / $0.87 output | Laguna XS.2$0 input / $0 output | Laguna XS.2 has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek V4 Pro (Max)Not available | Laguna XS.2Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V4 Pro (Max)Not available | Laguna XS.2Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V4 Pro (Max)1M | Laguna XS.2256K | DeepSeek V4 Pro (Max) lists the larger context window. |
Benchmark Deep Dive
AgenticDeepSeek V4 Pro (Max) wins17 benchmarks
| Benchmark | DeepSeek V4 Pro (Max) | Laguna XS.2 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 67.9% | 35.7% | DeepSeek V4 Pro (Max) leads |
| BrowseCompSource | 83.4% | — | Not comparable |
| HLE w/ toolsSource | 48.2% | — | Not comparable |
| MCP AtlasSource | 73.6% | — | Not comparable |
| GDPval-AASource | 1306 | — | Not comparable |
| ToolathlonSource | 51.8% | — | Not comparable |
| AA Agentic IndexSource | 36.4% | — | Not comparable |
| APEX-Agents-AASource | 24.3% | — | Not comparable |
| τ²-bench resultsSource | 96.2% | — | Not comparable |
| GDPval-AASource | 40.3% | — | Not comparable |
| AA BriefcaseSource | 930 | — | Not comparable |
| AA EnterpriseOps-GymSource | 40.4% | — | Not comparable |
| AA Harvey LABSource | 84.4% | — | Not comparable |
| AA ITBenchSource | 38.3% | — | Not comparable |
| AA Tau3 BankingSource | 25.8% | — | Not comparable |
| terminalBenchHardSource | 46.2% | — | Not comparable |
| aaTerminalBench21Source | 64% | — | Not comparable |
CodingDeepSeek V4 Pro (Max) wins8 benchmarks
| Benchmark | DeepSeek V4 Pro (Max) | Laguna XS.2 | Result |
|---|---|---|---|
| CodeforcesSource | 3206.0 | — | Not comparable |
| SWE-bench VerifiedSource | 80.6% | 69.9% | DeepSeek V4 Pro (Max) leads |
| SWE-bench ProSource | 55.4% | 46.3% | DeepSeek V4 Pro (Max) leads |
| SWE MultilingualSource | 76.2% | 57.7% | DeepSeek V4 Pro (Max) leads |
| Terminal-Bench 2.0Source | 67.9% | 35.7% | DeepSeek V4 Pro (Max) leads |
| Vibe Code BenchSource | 49.93% | — | Not comparable |
| AA Coding IndexSource | 59.4% | — | Not comparable |
| AA-SciCodeSource | 50.0% | — | Not comparable |
Reasoning4 benchmarks
Knowledge13 benchmarks
| Benchmark | DeepSeek V4 Pro (Max) | Laguna XS.2 | Result |
|---|---|---|---|
| MMLU-ProSource | 87.5% | — | Not comparable |
| SimpleQASource | 57.9% | — | Not comparable |
| Chinese-SimpleQASource | 84.4% | — | Not comparable |
| GPQASource | 90.1% | — | Not comparable |
| GPQA-DSource | 90.1% | — | Not comparable |
| HLESource | 37.7% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 44.3% | — | Not comparable |
| AA-GPQA DiamondSource | 88.8% | — | Not comparable |
| AA-HLESource | 35.9% | — | Not comparable |
| AA-Omniscience IndexSource | -10.0% | — | Not comparable |
| AA-Omniscience AccuracySource | 43.3% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 94.0% | — | Not comparable |
| AA Openness IndexSource | 50.0% | — | Not comparable |
Math4 benchmarks
Multimodal1 benchmarks
| Benchmark | DeepSeek V4 Pro (Max) | Laguna XS.2 | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1260 | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | DeepSeek V4 Pro (Max) | Laguna XS.2 | Result |
|---|---|---|---|
| AA-IFBenchSource | 76.5% | — | Not comparable |
Frequently Asked Questions (3)
Which is better, DeepSeek V4 Pro (Max) or Laguna XS.2?
DeepSeek V4 Pro (Max) 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, DeepSeek V4 Pro (Max) or Laguna XS.2?
DeepSeek V4 Pro (Max) has the edge for coding in this comparison, averaging 70.9 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, DeepSeek V4 Pro (Max) or Laguna XS.2?
DeepSeek V4 Pro (Max) has the edge for agentic tasks in this comparison, averaging 74.5 versus 35.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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