# LFM2.5-2.6B vs MiMo-V2-Pro

> Side-by-side benchmark comparison for LFM2.5-2.6B and MiMo-V2-Pro across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/lfm2-5-2-6b-vs-mimo-v2-pro
- Last updated: September 18, 2026

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

## Quick Verdict

Evidence is too thin for a benchmark verdict: LFM2.5-2.6B and MiMo-V2-Pro 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.
- MiMo-V2-Pro has the larger published context window at 1M.

## Model Snapshot

| Property | LFM2.5-2.6B | MiMo-V2-Pro |
|----------|----------|----------|
| Creator | LiquidAI | Xiaomi |
| Type | Open Weight | Proprietary |
| Reasoning | Reasoning | Reasoning |
| Context | 128K | 1M |
| Independent public score (not head-to-head) | 39.9 | 62.51 |
| Benchmarks Covered | 7 | 4 |
| Pricing (input/output) | $0.00 / $0.00 | N/A |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- LFM2.5-2.6B public-lane score: 37.2 (Estimated · #131/154)
- MiMo-V2-Pro public-lane score: Coming soon

| Benchmark | LFM2.5-2.6B | MiMo-V2-Pro | Winner |
|-----------|-----------|-----------|--------|
| BFCL v4 | 56.9% | Coming soon | Coming soon |
| τ³-bench results | 5.7% | Coming soon | Coming soon |
| Claw-Eval | 62.9% | 57.8% | LFM2.5-2.6B |
| PinchBench | 68.2% | Coming soon | Coming soon |
| Gert Labs | Coming soon | 36.68% | Coming soon |
| ResearchClawBench | Coming soon | 15.3% | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- LFM2.5-2.6B public-lane score: 39.2 (Estimated · #125/154)
- MiMo-V2-Pro public-lane score: 55.1 (Estimated · #41/154)

| Benchmark | LFM2.5-2.6B | MiMo-V2-Pro | Winner |
|-----------|-----------|-----------|--------|
| LiveCodeBench v6 | 59.4% | Coming soon | Coming soon |
| SWE-bench Verified | Coming soon | 78% | Coming soon |

### Reasoning

- Winner: Insufficient shared evidence
- LFM2.5-2.6B public-lane score: 24.9 (Unranked · 2 rankable rows)
- MiMo-V2-Pro public-lane score: 67.9 (Unranked · 2 rankable rows)

### Knowledge

- Winner: Insufficient shared evidence
- LFM2.5-2.6B public-lane score: 37 (Estimated · #151/184)
- MiMo-V2-Pro public-lane score: 53.5 (Estimated · #64/184)

### Instruction Following

- Winner: Insufficient shared evidence
- LFM2.5-2.6B public-lane score: 38.1 (#104/124)
- MiMo-V2-Pro public-lane score: 82.6 (#49/124)

| Benchmark | LFM2.5-2.6B | MiMo-V2-Pro | Winner |
|-----------|-----------|-----------|--------|
| IFBench | 59.2% | Coming soon | Coming soon |

### Mathematics

- Winner: Insufficient shared evidence
- LFM2.5-2.6B public-lane score: Coming soon
- MiMo-V2-Pro public-lane score: Coming soon

| Benchmark | LFM2.5-2.6B | MiMo-V2-Pro | Winner |
|-----------|-----------|-----------|--------|
| AIME 2025 | 51.9% | Coming soon | Coming soon |

## FAQ

### Is there enough evidence to pick between LFM2.5-2.6B and MiMo-V2-Pro?

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

- [LFM2.5-2.6B vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-lfm2-5-2-6b)
- [MiMo-V2-Pro vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-mimo-v2-pro)
- [LFM2.5-2.6B vs GPT-6 Astra](/compare/gpt-6-astra-vs-lfm2-5-2-6b)
- [MiMo-V2-Pro vs GPT-6 Astra](/compare/gpt-6-astra-vs-mimo-v2-pro)

## Explore More

- [LFM2.5-2.6B profile](/models/lfm2-5-2-6b)
- [MiMo-V2-Pro profile](/models/mimo-v2-pro)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)