# GPT-5.6 Sol vs Laguna S 2.1

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

- Canonical page: https://benchlm.ai/compare/gpt-5-6-sol-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 Sol 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 Sol leads overall 79.65 to 56.
- The clearest category separation is in coding, where the averages are 74.4 for GPT-5.6 Sol and 47.8 for Laguna S 2.1.
- The biggest single benchmark swing is deepSwe in Coding, with scores of 72.7% 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 Sol also has the larger context window at 1.05M.

## Model Snapshot

| Property | GPT-5.6 Sol | Laguna S 2.1 |
|----------|----------|----------|
| Creator | OpenAI | Poolside |
| Type | Proprietary | Open Weight |
| Reasoning | Reasoning | Reasoning |
| Context | 1.05M | 1M |
| Overall Score | 79.65 | null |
| Benchmarks Covered | 35 | 6 |
| Pricing (input/output) | $5.00 / $30.00 | $0.10 / $0.20 |

## Category Breakdown

### Agentic

- Winner: Coming soon
- GPT-5.6 Sol public-lane score: 70.1 (Supported · #6/151)
- Laguna S 2.1 public-lane score: 48.2 (Estimated · #77/151)

| Benchmark | GPT-5.6 Sol | Laguna S 2.1 | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 3.0 | 34.6% | Coming soon | Coming soon |
| Terminal-Bench 2.0 | 91.9% | 70.2% | GPT-5.6 Sol |
| BrowseComp | 92.2% | Coming soon | Coming soon |
| OSWorld 2.0 | 62.6% | Coming soon | Coming soon |
| CyberGym | 84.5% | Coming soon | Coming soon |
| ExploitGym | 33.7% | Coming soon | Coming soon |
| Toolathlon | 58% | Coming soon | Coming soon |
| Terminal-Bench 2.1 (Vals) | 85.8% | Coming soon | Coming soon |
| Toolathlon-Verified | Coming soon | 49.7% | Coming soon |

### Coding

- Winner: Coming soon
- GPT-5.6 Sol public-lane score: 74.4 (Supported · #5/183)
- Laguna S 2.1 public-lane score: 47.8 (Estimated · #87/183)

| Benchmark | GPT-5.6 Sol | Laguna S 2.1 | Winner |
|-----------|-----------|-----------|--------|
| Bug Hunt Bench | 42 fixes | Coming soon | Coming soon |
| SWE-bench Pro | 64.6% | 59.4% | GPT-5.6 Sol |
| Terminal-Bench 2.0 | 91.9% | 70.2% | GPT-5.6 Sol |
| deepSwe | 72.7% | 40.4% | GPT-5.6 Sol |
| FrontierCode 1.1 Extended | 60.6% | Coming soon | Coming soon |
| FrontierSWE v2 | 32.2% | Coming soon | Coming soon |
| cursorBench32 | 67.2% | Coming soon | Coming soon |
| VulcanBench v3 | 87.0% | Coming soon | Coming soon |
| VulcanBench CII v1 | 86.5% | Coming soon | Coming soon |
| LiveCodeBench (Vals) | 82.6% | Coming soon | Coming soon |
| SWE-bench (Vals) | 96.2% | Coming soon | Coming soon |
| SWE Multilingual | Coming soon | 78.5% | Coming soon |

### Multimodal & Grounded

- Winner: Coming soon
- GPT-5.6 Sol public-lane score: 86.4 (#4/48)
- Laguna S 2.1 public-lane score: Coming soon

| Benchmark | GPT-5.6 Sol | Laguna S 2.1 | Winner |
|-----------|-----------|-----------|--------|
| MMMU-Pro | 83% | Coming soon | Coming soon |
| MMMU-Pro w/ Python | 84.6% | Coming soon | Coming soon |

### Reasoning

- Winner: Coming soon
- GPT-5.6 Sol public-lane score: 69.8 (#14/22)
- Laguna S 2.1 public-lane score: Coming soon

| Benchmark | GPT-5.6 Sol | Laguna S 2.1 | Winner |
|-----------|-----------|-----------|--------|
| ARC-AGI-2 | 92.5% | Coming soon | Coming soon |
| ARC-AGI-3 | 7.8% | Coming soon | Coming soon |
| GeneBench-Pro | 28.7% | Coming soon | Coming soon |

### Knowledge

- Winner: Coming soon
- GPT-5.6 Sol public-lane score: 80.4 (Supported · #5/181)
- Laguna S 2.1 public-lane score: Coming soon

| Benchmark | GPT-5.6 Sol | Laguna S 2.1 | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 94.6% | Coming soon | Coming soon |
| GPQA-D | 94.6% | Coming soon | Coming soon |
| HLE-Verified | 54.5% | Coming soon | Coming soon |
| LABBench2 | 82.1% | Coming soon | Coming soon |
| HealthBench Professional | 60.5% | Coming soon | Coming soon |
| HealthBench Hard | 33.1% | Coming soon | Coming soon |
| GPQA Diamond (Vals) | 95.2% | Coming soon | Coming soon |
| MMLU-Pro (Vals) | 89.1% | Coming soon | Coming soon |

### Instruction Following

- Winner: Coming soon
- GPT-5.6 Sol public-lane score: 88.8 (#27/120)
- Laguna S 2.1 public-lane score: Coming soon

### Mathematics

- Winner: Coming soon
- GPT-5.6 Sol public-lane score: 97 (Unranked · 3 rankable rows)
- Laguna S 2.1 public-lane score: Coming soon

| Benchmark | GPT-5.6 Sol | Laguna S 2.1 | Winner |
|-----------|-----------|-----------|--------|
| FrontierMath (legacy) | 89% | Coming soon | Coming soon |
| FrontierMath v2 (Tiers 1-3) | 89.000% | Coming soon | Coming soon |
| FrontierMath v2 (Tier 4) | 83.000% | Coming soon | Coming soon |

## FAQ

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

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

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

The widest category gap is in coding, where the averages are 74.4 for GPT-5.6 Sol and 47.8 for Laguna S 2.1.

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

GPT-5.6 Sol currently has 35 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 Sol vs GPT-5.6 Terra](/compare/gpt-5-6-sol-vs-gpt-5-6-terra)
- [Laguna S 2.1 vs GPT-5.6 Terra](/compare/gpt-5-6-terra-vs-laguna-s-2-1)
- [GPT-5.6 Sol vs GPT-5.6 Luna](/compare/gpt-5-6-luna-vs-gpt-5-6-sol)
- [Laguna S 2.1 vs GPT-5.6 Luna](/compare/gpt-5-6-luna-vs-laguna-s-2-1)

## Explore More

- [GPT-5.6 Sol profile](/models/gpt-5-6-sol)
- [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)