Model comparison
Grok 4.5 vs Laguna S 2.1
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: Grok 4.5 #7 (Supported); Laguna S 2.1 unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Grok 4.5 and Laguna S 2.1 share 4 comparable benchmark results. 2 of 8 categories are comparable. 24 results are unique to Grok 4.5; 2 to Laguna S 2.1.
Updated July 21, 2026- Shared results
- 4
- Grok 4.5 only
- 24
- Laguna S 2.1 only
- 2
- Comparable categories
- 2 / 8
Treat this as a split decision. Grok 4.5 makes more sense if agentic is the priority; Laguna S 2.1 is the better fit if you want the cheaper token bill or you need the larger 1M context window.
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
Grok 4.5 and Laguna S 2.1 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.
Grok 4.5 is also the more expensive model on tokens at $2.00 input / $6.00 output per 1M tokens, versus $0.10 input / $0.20 output per 1M tokens for Laguna S 2.1. That is roughly 30.0x on output cost alone. Laguna S 2.1 gives you the larger context window at 1M, compared with 500K for Grok 4.5.
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 | Grok 4.5 | Δ | Laguna S 2.1 |
|---|---|---|---|
| Agentic | Grok 4.583.3 | Margin← 13.1 | Laguna S 2.170.2 |
| Coding | Grok 4.564.7 | Margin← 5.3 | Laguna S 2.159.4 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
Terminal-Bench 2.0
AgenticA 83.3%B 70.2%Winner: Grok 4.5Δ 13.1Terminal-Bench 2.0: Grok 4.5 scored 83.3%; Laguna S 2.1 scored 70.2%. Grok 4.5 wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 64.7%B 59.4%Winner: Grok 4.5Δ 5.3SWE-bench Pro: Grok 4.5 scored 64.7%; Laguna S 2.1 scored 59.4%. Grok 4.5 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Grok 4.5 | Laguna S 2.1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Grok 4.5$2 input / $6 output | Laguna S 2.1$0.1 input / $0.2 output | Laguna S 2.1 has the lower combined listed price. |
| Generation speedtokens per second | Grok 4.5Not available | Laguna S 2.1Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Grok 4.5Not available | Laguna S 2.1Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Grok 4.5500K | Laguna S 2.11M | Laguna S 2.1 lists the larger context window. |
Benchmark Deep Dive
AgenticGrok 4.5 wins12 benchmarks
| Benchmark | Grok 4.5 | Laguna S 2.1 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 83.3% | 70.2% | Grok 4.5 leads |
| deepSweSource | 53% | — | Not comparable |
| AA Agentic IndexSource | 45.7% | — | Not comparable |
| GDPval-AASource | 51.7% | — | Not comparable |
| GDPval-AASource | 1535 | — | Not comparable |
| AA BriefcaseSource | 1323 | — | Not comparable |
| AA AutomationBenchSource | 51.4% | — | Not comparable |
| AA EnterpriseOps-GymSource | 40.8% | — | Not comparable |
| AA Harvey LABSource | 92.4% | — | Not comparable |
| AA Tau3 BankingSource | 32.6% | — | Not comparable |
| aaTerminalBench21Source | 81.6% | — | Not comparable |
| Toolathlon-VerifiedSource | — | 49.7% | Not comparable |
CodingGrok 4.5 wins8 benchmarks
| Benchmark | Grok 4.5 | Laguna S 2.1 | Result |
|---|---|---|---|
| SWE-bench ProSource | 64.7% | 59.4% | Grok 4.5 leads |
| SWE MultilingualSource | 78% | 78.5% | Laguna S 2.1 leads |
| Terminal-Bench 2.0Source | 83.3% | 70.2% | Grok 4.5 leads |
| cursorBench32Source | 66.7% | — | Not comparable |
| VulcanBench v3Source | 91.3% | — | Not comparable |
| AA Coding IndexSource | 72.5% | — | Not comparable |
| AA-SciCodeSource | 54.1% | — | Not comparable |
| deepSweSource | — | 40.4% | Not comparable |
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Grok 4.5 | Laguna S 2.1 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 53.8% | — | Not comparable |
| AA-GPQA DiamondSource | 93.1% | — | Not comparable |
| AA-HLESource | 40.3% | — | Not comparable |
| AA-Omniscience IndexSource | 26.4% | — | Not comparable |
| AA-Omniscience AccuracySource | 52.1% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 53.5% | — | Not comparable |
Frequently Asked Questions (3)
Which is better, Grok 4.5 or Laguna S 2.1?
Grok 4.5 and Laguna S 2.1 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, Grok 4.5 or Laguna S 2.1?
Grok 4.5 has the edge for coding in this comparison, averaging 64.7 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, Grok 4.5 or Laguna S 2.1?
Grok 4.5 has the edge for agentic tasks in this comparison, averaging 83.3 versus 70.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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