# GPT-5.6 Luna vs Laguna S 2.1

> Side-by-side benchmark comparison for GPT-5.6 Luna and Laguna S 2.1 across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/gpt-5-6-luna-vs-laguna-s-2-1
- Last updated: September 4, 2026

- Shared sourced benchmarks: 4
- HTML indexing: indexable
- Ranking lane: BenchAlign v5

## Quick Verdict

Pick GPT-5.6 Luna if you want the stronger benchmark profile. Laguna S 2.1 only makes more sense when its price, context window, or workload-specific category wins matter more than the overall score.

## Summary

- GPT-5.6 Luna leads overall 65.54 to 56.
- The clearest category separation is in coding, where the averages are 67 for GPT-5.6 Luna and 47.8 for Laguna S 2.1.
- The biggest single benchmark swing is deepSwe in Coding, with scores of 67.2% and 40.4%.
- Laguna S 2.1 is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.
- GPT-5.6 Luna also has the larger context window at 1.05M.

## Model Snapshot

| Property | GPT-5.6 Luna | Laguna S 2.1 |
|----------|----------|----------|
| Creator | OpenAI | Poolside |
| Type | Proprietary | Open Weight |
| Reasoning | Reasoning | Reasoning |
| Context | 1.05M | 1M |
| Overall Score | 65.54 | null |
| Benchmarks Covered | 28 | 6 |
| Pricing (input/output) | $1.00 / $6.00 | $0.10 / $0.20 |

## Category Breakdown

### Agentic

- Winner: Coming soon
- GPT-5.6 Luna public-lane score: 56.5 (Supported · #34/151)
- Laguna S 2.1 public-lane score: 48.2 (Estimated · #77/151)

| Benchmark | GPT-5.6 Luna | Laguna S 2.1 | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 3.0 | 14.3% | Coming soon | Coming soon |
| Terminal-Bench 2.0 | 84.7% | 70.2% | GPT-5.6 Luna |
| BrowseComp | 83.3% | Coming soon | Coming soon |
| OSWorld 2.0 | 45.6% | Coming soon | Coming soon |
| CyberGym | 77.9% | Coming soon | Coming soon |
| ExploitGym | 12.4% | Coming soon | Coming soon |
| Toolathlon | 53.4% | Coming soon | Coming soon |
| Terminal-Bench 2.1 (Vals) | 79.0% | Coming soon | Coming soon |
| Toolathlon-Verified | Coming soon | 49.7% | Coming soon |

### Coding

- Winner: Coming soon
- GPT-5.6 Luna public-lane score: 67 (Supported · #10/183)
- Laguna S 2.1 public-lane score: 47.8 (Estimated · #87/183)

| Benchmark | GPT-5.6 Luna | Laguna S 2.1 | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Pro | 62.7% | 59.4% | GPT-5.6 Luna |
| Terminal-Bench 2.0 | 84.7% | 70.2% | GPT-5.6 Luna |
| deepSwe | 67.2% | 40.4% | GPT-5.6 Luna |
| FrontierCode 1.1 Extended | 55.1% | Coming soon | Coming soon |
| cursorBench32 | 61.1% | Coming soon | Coming soon |
| VulcanBench v3 | 85.5% | Coming soon | Coming soon |
| SWE-bench (Vals) | 93.0% | Coming soon | Coming soon |
| SWE Multilingual | Coming soon | 78.5% | Coming soon |

### Multimodal & Grounded

- Winner: Coming soon
- GPT-5.6 Luna public-lane score: 66.3 (#21/48)
- Laguna S 2.1 public-lane score: Coming soon

| Benchmark | GPT-5.6 Luna | Laguna S 2.1 | Winner |
|-----------|-----------|-----------|--------|
| MMMU-Pro | 78.4% | Coming soon | Coming soon |
| MMMU-Pro w/ Python | 79.5% | Coming soon | Coming soon |

### Reasoning

- Winner: Coming soon
- GPT-5.6 Luna public-lane score: 50.4 (#21/22)
- Laguna S 2.1 public-lane score: Coming soon

| Benchmark | GPT-5.6 Luna | Laguna S 2.1 | Winner |
|-----------|-----------|-----------|--------|
| ARC-AGI-2 | 59.5% | Coming soon | Coming soon |
| ARC-AGI-3 | 0.2% | Coming soon | Coming soon |

### Knowledge

- Winner: Coming soon
- GPT-5.6 Luna public-lane score: 64.7 (Supported · #27/181)
- Laguna S 2.1 public-lane score: Coming soon

| Benchmark | GPT-5.6 Luna | Laguna S 2.1 | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 92.3% | Coming soon | Coming soon |
| GPQA-D | 92.3% | Coming soon | Coming soon |
| HealthBench Professional | 55.7% | Coming soon | Coming soon |
| HealthBench Hard | 32.0% | Coming soon | Coming soon |
| GPQA Diamond (Vals) | 91.7% | Coming soon | Coming soon |
| MMLU-Pro (Vals) | 86.0% | Coming soon | Coming soon |

### Mathematics

- Winner: Coming soon
- GPT-5.6 Luna public-lane score: 94.4 (Unranked · 3 rankable rows)
- Laguna S 2.1 public-lane score: Coming soon

| Benchmark | GPT-5.6 Luna | Laguna S 2.1 | Winner |
|-----------|-----------|-----------|--------|
| FrontierMath (legacy) | 78.6% | Coming soon | Coming soon |
| FrontierMath v2 (Tiers 1-3) | 78.600% | Coming soon | Coming soon |
| FrontierMath v2 (Tier 4) | 58.500% | Coming soon | Coming soon |

## FAQ

### Which is better overall, GPT-5.6 Luna or Laguna S 2.1?

GPT-5.6 Luna is ahead overall on BenchLM right now.

### Where is the biggest gap between GPT-5.6 Luna and Laguna S 2.1?

The widest category gap is in coding, where the averages are 67 for GPT-5.6 Luna and 47.8 for Laguna S 2.1.

### How many benchmarks does GPT-5.6 Luna cover on BenchLM?

GPT-5.6 Luna currently has 28 sourced benchmark scores on BenchLM.

### How many benchmarks does Laguna S 2.1 cover on BenchLM?

Laguna S 2.1 currently has 6 sourced benchmark scores on BenchLM.

## Related Comparisons

- [GPT-5.6 Luna vs GPT-5.6 Sol](/compare/gpt-5-6-luna-vs-gpt-5-6-sol)
- [Laguna S 2.1 vs GPT-5.6 Sol](/compare/gpt-5-6-sol-vs-laguna-s-2-1)
- [GPT-5.6 Luna vs GPT-5.6 Terra](/compare/gpt-5-6-luna-vs-gpt-5-6-terra)
- [Laguna S 2.1 vs GPT-5.6 Terra](/compare/gpt-5-6-terra-vs-laguna-s-2-1)

## Explore More

- [GPT-5.6 Luna profile](/models/gpt-5-6-luna)
- [Laguna S 2.1 profile](/models/laguna-s-2-1)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)