# Command A+ vs LFM2.5-VL-3B

> Side-by-side benchmark comparison for Command A+ and LFM2.5-VL-3B across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/command-a-plus-vs-lfm2-5-vl-3b
- Last updated: September 10, 2026

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

## Quick Verdict

Evidence is too thin for a benchmark verdict: Command A+ and LFM2.5-VL-3B 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.
- LFM2.5-VL-3B has the lower published output-token price.
- Command A+ has the larger published context window at 128K.

## Model Snapshot

| Property | Command A+ | LFM2.5-VL-3B |
|----------|----------|----------|
| Creator | Cohere | LiquidAI |
| Type | Open Weight | Open Weight |
| Reasoning | Reasoning | Non-Reasoning |
| Context | 128K | 32K |
| Independent public score (not head-to-head) | 42.58 | null |
| Benchmarks Covered | 4 | 10 |
| Pricing (input/output) | $2.50 / $10.00 | $0.00 / $0.00 |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- Command A+ public-lane score: 40.6 (Estimated · #114/152)
- LFM2.5-VL-3B public-lane score: Coming soon

| Benchmark | Command A+ | LFM2.5-VL-3B | Winner |
|-----------|-----------|-----------|--------|
| τ²-bench results | 85% | Coming soon | Coming soon |
| BFCL v4 | Coming soon | 32.5% | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- Command A+ public-lane score: 43.4 (Estimated · #101/151)
- LFM2.5-VL-3B public-lane score: Coming soon

### Multimodal & Grounded

- Winner: Insufficient shared evidence
- Command A+ public-lane score: 15.1 (#47/48)
- LFM2.5-VL-3B public-lane score: Coming soon

| Benchmark | Command A+ | LFM2.5-VL-3B | Winner |
|-----------|-----------|-----------|--------|
| MMMU | 75.1% | 48.4% | Command A+ |
| MMMU-Pro | 63% | 30.5% | Command A+ |
| CharXiv | 52.7% | Coming soon | Coming soon |
| RealWorldQA | Coming soon | 73.1% | Coming soon |
| SimpleVQA | Coming soon | 35.4% | Coming soon |
| CountBench | Coming soon | 87.3% | Coming soon |
| OCRBench V2 | Coming soon | 47.5% | Coming soon |
| RefCOCO (avg) | Coming soon | 87.9% | Coming soon |

### Reasoning

- Winner: Insufficient shared evidence
- Command A+ public-lane score: 57.2 (Unranked · 2 rankable rows)
- LFM2.5-VL-3B public-lane score: Coming soon

### Knowledge

- Winner: Insufficient shared evidence
- Command A+ public-lane score: 36.6 (Estimated · #150/183)
- LFM2.5-VL-3B public-lane score: Coming soon

### Instruction Following

- Winner: Insufficient shared evidence
- Command A+ public-lane score: 90.6 (#20/123)
- LFM2.5-VL-3B public-lane score: Coming soon

| Benchmark | Command A+ | LFM2.5-VL-3B | Winner |
|-----------|-----------|-----------|--------|
| IFEval | Coming soon | 82.3% | Coming soon |
| IFBench | Coming soon | 25.8% | Coming soon |

## FAQ

### Is there enough evidence to pick between Command A+ and LFM2.5-VL-3B?

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

- [Command A+ vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-command-a-plus)
- [LFM2.5-VL-3B vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-lfm2-5-vl-3b)
- [Command A+ vs GPT-6 Astra](/compare/command-a-plus-vs-gpt-6-astra)
- [LFM2.5-VL-3B vs GPT-6 Astra](/compare/gpt-6-astra-vs-lfm2-5-vl-3b)

## Explore More

- [Command A+ profile](/models/command-a-plus)
- [LFM2.5-VL-3B profile](/models/lfm2-5-vl-3b)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)