# MiMo-V2.6-Pro vs Pareto 26.10 Preview

> Side-by-side benchmark comparison for MiMo-V2.6-Pro and Pareto 26.10 Preview across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/mimo-v2-6-pro-vs-pareto-26-10-preview
- Last updated: October 1, 2026

- Shared sourced benchmarks: 2
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.8

## Quick Verdict

Evidence is too thin for a benchmark verdict: MiMo-V2.6-Pro and Pareto 26.10 Preview share only 2 sourced benchmark rows.

## Summary

- Only 2 shared sourced benchmark rows are available. That is not enough for a broad capability verdict, so this mirror does not name an overall winner.
- MiMo-V2.6-Pro has the lower published output-token price.
- MiMo-V2.6-Pro has the larger published context window at 1M.

## Model Snapshot

| Property | MiMo-V2.6-Pro | Pareto 26.10 Preview |
|----------|----------|----------|
| Creator | Xiaomi | Unbiased |
| Type | Open Weight | Proprietary |
| Reasoning | Reasoning | Reasoning |
| Context | 1M | N/A |
| Independent public score (not head-to-head) | 75.49 | null |
| Benchmarks Covered | 12 | 3 |
| Pricing (input/output) | $0.435 / $0.87 | $2.50 / $7.50 |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- MiMo-V2.6-Pro public-lane score: 66.4 (Estimated · #13/119)
- Pareto 26.10 Preview public-lane score: Coming soon

| Benchmark | MiMo-V2.6-Pro | Pareto 26.10 Preview | Winner |
|-----------|-----------|-----------|--------|
| Toolathlon-Verified | 76.9% | Coming soon | Coming soon |
| AutomationBench | 53.1% | Coming soon | Coming soon |
| Agents' Last Exam | 31.6% | Coming soon | Coming soon |
| Terminal-Bench 4.0 | 34.90% | 50.80% | Pareto 26.10 Preview |
| Terminal-Bench 2.1 | 89.9% | Coming soon | Coming soon |
| OSWorld-Verified | 82% | Coming soon | Coming soon |
| JobBench | 62.0% | Coming soon | Coming soon |
| CyberGym | 94.0% | Coming soon | Coming soon |
| ExploitGym | 17.8% | Coming soon | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- MiMo-V2.6-Pro public-lane score: 68 (Supported · #9/144)
- Pareto 26.10 Preview public-lane score: Coming soon

| Benchmark | MiMo-V2.6-Pro | Pareto 26.10 Preview | Winner |
|-----------|-----------|-----------|--------|
| DeepSWE | 71.9% | 69.9% | MiMo-V2.6-Pro |
| ProgramBench | 26.5% | Coming soon | Coming soon |
| Terminal-Bench 2.1 | 89.9% | Coming soon | Coming soon |

### Reasoning

- Winner: Insufficient shared evidence
- MiMo-V2.6-Pro public-lane score: 79.6 (Unranked · 2 rankable rows)
- Pareto 26.10 Preview public-lane score: Coming soon

### Knowledge

- Winner: Insufficient shared evidence
- MiMo-V2.6-Pro public-lane score: 68.2 (Supported · #17/170)
- Pareto 26.10 Preview public-lane score: Coming soon

| Benchmark | MiMo-V2.6-Pro | Pareto 26.10 Preview | Winner |
|-----------|-----------|-----------|--------|
| GPQA-D | Coming soon | 92.4% | Coming soon |

## FAQ

### Is there enough evidence to pick between MiMo-V2.6-Pro and Pareto 26.10 Preview?

Not yet. The models share only 2 sourced benchmark rows, 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

- [MiMo-V2.6-Pro vs MiMo-V2.6-Flash](/compare/mimo-v2-6-flash-vs-mimo-v2-6-pro)
- [Pareto 26.10 Preview vs MiMo-V2.6-Flash](/compare/mimo-v2-6-flash-vs-pareto-26-10-preview)
- [MiMo-V2.6-Pro vs Pareto 26.9](/compare/mimo-v2-6-pro-vs-pareto-26-9)
- [Pareto 26.10 Preview vs Pareto 26.9](/compare/pareto-26-10-preview-vs-pareto-26-9)

## Explore More

- [MiMo-V2.6-Pro profile](/models/mimo-v2-6-pro)
- [Pareto 26.10 Preview profile](/models/pareto-26-10-preview)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)
