# Llama 3.1 70B vs Mixtral 8x22B Instruct v0.1

> Side-by-side benchmark comparison for Llama 3.1 70B and Mixtral 8x22B Instruct v0.1 across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/llama-3-1-70b-vs-mixtral-8x22b-instruct-v0-1
- Last updated: October 14, 2026

- Shared sourced benchmarks: 1
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.8

## Quick Verdict

Evidence is too thin for a benchmark verdict: Llama 3.1 70B and Mixtral 8x22B Instruct v0.1 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 3.1 70B has the larger published context window at 128K.

## Model Snapshot

| Property | Llama 3.1 70B | Mixtral 8x22B Instruct v0.1 |
|----------|----------|----------|
| Creator | Meta | Mistral |
| Type | Open Weight | Open Weight |
| Reasoning | Non-Reasoning | Non-Reasoning |
| Context | 128K | 64K |
| Independent public score (not head-to-head) | null | 18.5 |
| Benchmarks Covered | 7 | 1 |
| Pricing (input/output) | N/A | $0.00 / $0.00 |

## Category Breakdown

### Coding

- Winner: Insufficient shared evidence
- Llama 3.1 70B public-lane score: Coming soon
- Mixtral 8x22B Instruct v0.1 public-lane score: Coming soon

| Benchmark | Llama 3.1 70B | Mixtral 8x22B Instruct v0.1 | Winner |
|-----------|-----------|-----------|--------|
| HumanEval | 80.5% | Coming soon | Coming soon |

### Knowledge

- Winner: Insufficient shared evidence
- Llama 3.1 70B public-lane score: Coming soon
- Mixtral 8x22B Instruct v0.1 public-lane score: Coming soon

| Benchmark | Llama 3.1 70B | Mixtral 8x22B Instruct v0.1 | Winner |
|-----------|-----------|-----------|--------|
| MMLU | 86% | 77.8% | Llama 3.1 70B |
| MMLU-Pro | 66.4% | Coming soon | Coming soon |
| GPQA | 46.7% | Coming soon | Coming soon |

### Multilingual

- Winner: Insufficient shared evidence
- Llama 3.1 70B public-lane score: Coming soon
- Mixtral 8x22B Instruct v0.1 public-lane score: Coming soon

| Benchmark | Llama 3.1 70B | Mixtral 8x22B Instruct v0.1 | Winner |
|-----------|-----------|-----------|--------|
| MGSM | 86.9% | Coming soon | Coming soon |

### Instruction Following

- Winner: Insufficient shared evidence
- Llama 3.1 70B public-lane score: Coming soon
- Mixtral 8x22B Instruct v0.1 public-lane score: Coming soon

| Benchmark | Llama 3.1 70B | Mixtral 8x22B Instruct v0.1 | Winner |
|-----------|-----------|-----------|--------|
| IFEval | 87.5% | Coming soon | Coming soon |

### Mathematics

- Winner: Insufficient shared evidence
- Llama 3.1 70B public-lane score: Coming soon
- Mixtral 8x22B Instruct v0.1 public-lane score: Coming soon

| Benchmark | Llama 3.1 70B | Mixtral 8x22B Instruct v0.1 | Winner |
|-----------|-----------|-----------|--------|
| GSM8K | 95.1% | Coming soon | Coming soon |

## FAQ

### Is there enough evidence to pick between Llama 3.1 70B and Mixtral 8x22B Instruct v0.1?

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 3.1 70B vs Claude Opus 5.5](/compare/claude-opus-5-5-vs-llama-3-1-70b)
- [Mixtral 8x22B Instruct v0.1 vs Claude Opus 5.5](/compare/claude-opus-5-5-vs-mixtral-8x22b-instruct-v0-1)
- [Llama 3.1 70B vs GPT-6.1 Sol](/compare/gpt-6-1-sol-vs-llama-3-1-70b)
- [Mixtral 8x22B Instruct v0.1 vs GPT-6.1 Sol](/compare/gpt-6-1-sol-vs-mixtral-8x22b-instruct-v0-1)

## Explore More

- [Llama 3.1 70B profile](/models/llama-3-1-70b)
- [Mixtral 8x22B Instruct v0.1 profile](/models/mixtral-8x22b-instruct-v0-1)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)