# GPT-5.6 Sol vs Llama 4 Scout

> Side-by-side benchmark comparison for GPT-5.6 Sol and Llama 4 Scout across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/gpt-5-6-sol-vs-llama-4-scout
- Last updated: September 24, 2026

- Shared sourced benchmarks: 1
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.7

## Quick Verdict

Evidence is too thin for a benchmark verdict: GPT-5.6 Sol and Llama 4 Scout share only 1 sourced benchmark row.

## Summary

- Only 1 shared sourced benchmark row is available. That is not enough for a broad capability verdict, so this mirror does not name an overall winner.
- Llama 4 Scout has the lower published output-token price.
- Llama 4 Scout has the larger published context window at 10M.

## Model Snapshot

| Property | GPT-5.6 Sol | Llama 4 Scout |
|----------|----------|----------|
| Creator | OpenAI | Meta |
| Type | Proprietary | Open Weight |
| Reasoning | Reasoning | Non-Reasoning |
| Context | 1.05M | 10M |
| Independent public score (not head-to-head) | 78.49 | 29.42 |
| Benchmarks Covered | 37 | 1 |
| Pricing (input/output) | $4.00 / $20.00 | $0.00 / $0.00 |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- GPT-5.6 Sol public-lane score: 69.6 (Supported · #7/105)
- Llama 4 Scout public-lane score: 8.9 (Estimated · #103/105)

| Benchmark | GPT-5.6 Sol | Llama 4 Scout | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 3.0 | 34.6% | Coming soon | Coming soon |
| Terminal-Bench 2.1 | 91.9% | Coming soon | Coming soon |
| 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 |
| ApprenticeBench | 26% | Coming soon | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- GPT-5.6 Sol public-lane score: 71.6 (Supported · #6/135)
- Llama 4 Scout public-lane score: 14.3 (Estimated · #131/135)

| Benchmark | GPT-5.6 Sol | Llama 4 Scout | Winner |
|-----------|-----------|-----------|--------|
| Bug Hunt Bench | 42 fixes | Coming soon | Coming soon |
| SWE-bench Pro | 64.6% | Coming soon | Coming soon |
| Terminal-Bench 2.1 | 91.9% | Coming soon | Coming soon |
| DeepSWE | 72.7% | Coming soon | Coming soon |
| 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 |
| cursorBench40 | 41.7% | Coming soon | Coming soon |

### Reasoning

- Winner: Insufficient shared evidence
- GPT-5.6 Sol public-lane score: 72.1 (#8/19)
- Llama 4 Scout public-lane score: 41.1 (Unranked · 2 rankable rows)

| Benchmark | GPT-5.6 Sol | Llama 4 Scout | 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 |

### Multimodal & Grounded

- Winner: Insufficient shared evidence
- GPT-5.6 Sol public-lane score: 87.6 (#5/50)
- Llama 4 Scout public-lane score: 38.1 (Unranked · 1 rankable row)

| Benchmark | GPT-5.6 Sol | Llama 4 Scout | Winner |
|-----------|-----------|-----------|--------|
| MMMU-Pro | 83% | Coming soon | Coming soon |
| MMMU-Pro w/ Python | 84.6% | Coming soon | Coming soon |

### Knowledge

- Winner: Insufficient shared evidence
- GPT-5.6 Sol public-lane score: 78.8 (Supported · #7/158)
- Llama 4 Scout public-lane score: 26.2 (Estimated · #146/158)

| Benchmark | GPT-5.6 Sol | Llama 4 Scout | 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: Insufficient shared evidence
- GPT-5.6 Sol public-lane score: 87.7 (#28/124)
- Llama 4 Scout public-lane score: 44.3 (#91/124)

### Mathematics

- Winner: Insufficient shared evidence
- GPT-5.6 Sol public-lane score: 96.8 (Unranked · 3 rankable rows)
- Llama 4 Scout public-lane score: 25.1 (Unranked · 1 rankable row)

| Benchmark | GPT-5.6 Sol | Llama 4 Scout | Winner |
|-----------|-----------|-----------|--------|
| FrontierMath (legacy) | 89% | Coming soon | Coming soon |
| FrontierMath v2 (Tiers 1-3) | 89.000% | 0.000% | GPT-5.6 Sol |
| FrontierMath v2 (Tier 4) | 83.000% | Coming soon | Coming soon |

## FAQ

### Is there enough evidence to pick between GPT-5.6 Sol and Llama 4 Scout?

Not yet. The models share only 1 sourced benchmark row, so this mirror reports the available measurements and metadata without naming a broad winner.

### What can I compare safely on this page?

Published pricing, context windows, model type, and individual shared benchmark rows are directly comparable. Independent overall scores and non-overlapping benchmark coverage are labeled separately and should not be read as a controlled head-to-head result.

## Related Comparisons

- [GPT-5.6 Sol vs GPT-5.6 Terra](/compare/gpt-5-6-sol-vs-gpt-5-6-terra)
- [Llama 4 Scout vs GPT-5.6 Terra](/compare/gpt-5-6-terra-vs-llama-4-scout)
- [GPT-5.6 Sol vs GPT-5.6 Luna](/compare/gpt-5-6-luna-vs-gpt-5-6-sol)
- [Llama 4 Scout vs GPT-5.6 Luna](/compare/gpt-5-6-luna-vs-llama-4-scout)

## Explore More

- [GPT-5.6 Sol profile](/models/gpt-5-6-sol)
- [Llama 4 Scout profile](/models/llama-4-scout)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)
