# Llama 4 Scout vs Qwen3.5 Plus

> Side-by-side benchmark comparison for Llama 4 Scout and Qwen3.5 Plus across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/llama-4-scout-vs-qwen3-5-plus
- Last updated: September 28, 2026

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

## Quick Verdict

Evidence is too thin for a benchmark verdict: Llama 4 Scout and Qwen3.5 Plus 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 | Llama 4 Scout | Qwen3.5 Plus |
|----------|----------|----------|
| Creator | Meta | Alibaba |
| Type | Open Weight | Proprietary |
| Reasoning | Non-Reasoning | Reasoning |
| Context | 10M | 1M |
| Independent public score (not head-to-head) | 29.43 | 48.92 |
| Benchmarks Covered | 1 | 4 |
| Pricing (input/output) | $0.00 / $0.00 | $0.40 / $2.40 |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- Llama 4 Scout public-lane score: 9.7 (Estimated · #115/117)
- Qwen3.5 Plus public-lane score: Coming soon

| Benchmark | Llama 4 Scout | Qwen3.5 Plus | Winner |
|-----------|-----------|-----------|--------|
| JobBench | Coming soon | 18.5% | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- Llama 4 Scout public-lane score: 14.3 (Estimated · #138/142)
- Qwen3.5 Plus public-lane score: Coming soon

| Benchmark | Llama 4 Scout | Qwen3.5 Plus | Winner |
|-----------|-----------|-----------|--------|
| Vibe Code Bench | Coming soon | 15.74% | Coming soon |

### Reasoning

- Winner: Insufficient shared evidence
- Llama 4 Scout public-lane score: 41.2 (Unranked · 2 rankable rows)
- Qwen3.5 Plus public-lane score: Coming soon

### Multimodal & Grounded

- Winner: Insufficient shared evidence
- Llama 4 Scout public-lane score: 39.1 (Unranked · 1 rankable row)
- Qwen3.5 Plus public-lane score: Coming soon

### Knowledge

- Winner: Insufficient shared evidence
- Llama 4 Scout public-lane score: 26.5 (Estimated · #156/168)
- Qwen3.5 Plus public-lane score: Coming soon

### Instruction Following

- Winner: Insufficient shared evidence
- Llama 4 Scout public-lane score: 44.3 (#91/124)
- Qwen3.5 Plus public-lane score: Coming soon

### Mathematics

- Winner: Insufficient shared evidence
- Llama 4 Scout public-lane score: 25.1 (Unranked · 1 rankable row)
- Qwen3.5 Plus public-lane score: 39.3 (Unranked · 2 rankable rows)

| Benchmark | Llama 4 Scout | Qwen3.5 Plus | Winner |
|-----------|-----------|-----------|--------|
| FrontierMath v2 (Tiers 1-3) | 0.000% | 21.034% | Qwen3.5 Plus |
| FrontierMath v2 (Tier 4) | Coming soon | 2.083% | Coming soon |

## FAQ

### Is there enough evidence to pick between Llama 4 Scout and Qwen3.5 Plus?

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

- [Llama 4 Scout vs GPT-6 Astra](/compare/gpt-6-astra-vs-llama-4-scout)
- [Qwen3.5 Plus vs GPT-6 Astra](/compare/gpt-6-astra-vs-qwen3-5-plus)
- [Llama 4 Scout vs Claude Opus 5.5](/compare/claude-opus-5-5-vs-llama-4-scout)
- [Qwen3.5 Plus vs Claude Opus 5.5](/compare/claude-opus-5-5-vs-qwen3-5-plus)

## Explore More

- [Llama 4 Scout profile](/models/llama-4-scout)
- [Qwen3.5 Plus profile](/models/qwen3-5-plus)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)
