# GPT-5.5 vs Llama 4 Scout

> Side-by-side benchmark comparison for GPT-5.5 and Llama 4 Scout across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

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

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

## Quick Verdict

Evidence is too thin for a benchmark verdict: GPT-5.5 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-5.5 | Llama 4 Scout |
|----------|----------|----------|
| Creator | OpenAI | Meta |
| Type | Proprietary | Open Weight |
| Reasoning | Reasoning | Non-Reasoning |
| Context | 1M | 10M |
| Independent public score (not head-to-head) | 73.27 | 35.64 |
| Benchmarks Covered | 38 | 1 |
| Pricing (input/output) | $5.00 / $30.00 | $0.00 / $0.00 |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- GPT-5.5 public-lane score: 63.9 (Supported · #15/151)
- Llama 4 Scout public-lane score: 33.1 (Estimated · #134/151)

| Benchmark | GPT-5.5 | Llama 4 Scout | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.0 | 82% | Coming soon | Coming soon |
| CyberGym | 81.8% | Coming soon | Coming soon |
| BrowseComp | 84.4% | Coming soon | Coming soon |
| OSWorld-Verified | 78.7% | Coming soon | Coming soon |
| MCP Atlas | 75.3% | Coming soon | Coming soon |
| Toolathlon | 55.6% | Coming soon | Coming soon |
| τ²-bench results | 98% | Coming soon | Coming soon |
| Gert Labs | 72.93% | Coming soon | Coming soon |
| ResearchClawBench | 17.0% | Coming soon | Coming soon |
| OSWorld 2.0 | 13.0% | Coming soon | Coming soon |
| JobBench | 42.7% | Coming soon | Coming soon |
| ExploitGym | 13.4% | Coming soon | Coming soon |
| Terminal-Bench 2.1 (Vals) | 76.4% | Coming soon | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- GPT-5.5 public-lane score: 67.7 (Supported · #8/183)
- Llama 4 Scout public-lane score: 32.9 (Estimated · #160/183)

| Benchmark | GPT-5.5 | Llama 4 Scout | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Pro | 58.6% | Coming soon | Coming soon |
| Terminal-Bench 2.0 | 82.0% | Coming soon | Coming soon |
| Vibe Code Bench | 69.85% | Coming soon | Coming soon |
| React Native Evals | 84.7% | Coming soon | Coming soon |
| cursorBench31 | 59.2% | Coming soon | Coming soon |
| cursorBench32 | 58.4% | Coming soon | Coming soon |
| FrontierCode 1.1 Main | 43.0% | Coming soon | Coming soon |
| LiveCodeBench (Vals) | 85.3% | Coming soon | Coming soon |
| SWE-bench (Vals) | 82.6% | Coming soon | Coming soon |

### Multimodal & Grounded

- Winner: Insufficient shared evidence
- GPT-5.5 public-lane score: 71.3 (#19/48)
- Llama 4 Scout public-lane score: 38 (Unranked · 1 rankable row)

| Benchmark | GPT-5.5 | Llama 4 Scout | Winner |
|-----------|-----------|-----------|--------|
| MMMU-Pro | 81.2% | Coming soon | Coming soon |
| MMMU-Pro w/ Python | 83.2% | Coming soon | Coming soon |
| OfficeQA Pro | 54.1% | Coming soon | Coming soon |

### Reasoning

- Winner: Insufficient shared evidence
- GPT-5.5 public-lane score: 63.5 (#15/22)
- Llama 4 Scout public-lane score: 42.8 (Unranked · 2 rankable rows)

| Benchmark | GPT-5.5 | Llama 4 Scout | Winner |
|-----------|-----------|-----------|--------|
| MRCR v2 64K-128K | 83.1% | Coming soon | Coming soon |
| MRCR v2 128K-256K | 87.5% | Coming soon | Coming soon |
| ARC-AGI-2 | 85% | Coming soon | Coming soon |
| ARC-AGI-3 | 0.4% | Coming soon | Coming soon |

### Knowledge

- Winner: Insufficient shared evidence
- GPT-5.5 public-lane score: 73.3 (Supported · #7/181)
- Llama 4 Scout public-lane score: 34.1 (Estimated · #169/181)

| Benchmark | GPT-5.5 | Llama 4 Scout | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 93.6% | Coming soon | Coming soon |
| GPQA-D | 93.6% | Coming soon | Coming soon |
| HLE | 52.2% | Coming soon | Coming soon |
| HLE w/o tools | 41.4% | Coming soon | Coming soon |
| GPQA Diamond (Vals) | 93.2% | Coming soon | Coming soon |
| MMLU-Pro (Vals) | 88.1% | Coming soon | Coming soon |

### Instruction Following

- Winner: Insufficient shared evidence
- GPT-5.5 public-lane score: 92.9 (#7/120)
- Llama 4 Scout public-lane score: 45.7 (#89/120)

### Mathematics

- Winner: Insufficient shared evidence
- GPT-5.5 public-lane score: 69.6 (Unranked · 3 rankable rows)
- Llama 4 Scout public-lane score: 25.3 (Unranked · 1 rankable row)

| Benchmark | GPT-5.5 | Llama 4 Scout | Winner |
|-----------|-----------|-----------|--------|
| FrontierMath (legacy) | 51.7% | Coming soon | Coming soon |
| FrontierMath v2 (Tiers 1-3) | 51.700% | 0.000% | GPT-5.5 |
| FrontierMath v2 (Tier 4) | 35.400% | Coming soon | Coming soon |

## FAQ

### Is there enough evidence to pick between GPT-5.5 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-5.5 vs GPT-5.5 Pro](/compare/gpt-5-5-vs-gpt-5-5-pro)
- [Llama 4 Scout vs GPT-5.5 Pro](/compare/gpt-5-5-pro-vs-llama-4-scout)
- [GPT-5.5 vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-gpt-5-5)
- [Llama 4 Scout vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-llama-4-scout)

## Explore More

- [GPT-5.5 profile](/models/gpt-5-5)
- [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)