# Command A+ vs GPT-5.5 Pro

> Side-by-side benchmark comparison for Command A+ and GPT-5.5 Pro across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/command-a-plus-vs-gpt-5-5-pro
- Last updated: September 21, 2026

- Shared sourced benchmarks: 0
- HTML indexing: indexable
- Ranking lane: BenchAlign v5

## Quick Verdict

No benchmark verdict yet: there is no shared sourced benchmark row for Command A+ and GPT-5.5 Pro.

## Summary

- Command A+ and GPT-5.5 Pro do not currently share a sourced benchmark row. The mirror therefore compares metadata, pricing, context windows, and each model's separately reported coverage without naming a benchmark winner.

## Model Snapshot

| Property | Command A+ | GPT-5.5 Pro |
|----------|----------|----------|
| Creator | Cohere | OpenAI |
| Type | Open Weight | Proprietary |
| Reasoning | Reasoning | Reasoning |
| Context | 128K | 1M |
| Independent public score (not head-to-head) | 42.68 | 62.2 |
| Benchmarks Covered | 4 | 6 |
| Pricing (input/output) | $2.50 / $10.00 | $30.00 / $180.00 |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- Command A+ public-lane score: 41.1 (Estimated · #115/154)
- GPT-5.5 Pro public-lane score: 59.2 (Estimated · #27/154)

| Benchmark | Command A+ | GPT-5.5 Pro | Winner |
|-----------|-----------|-----------|--------|
| τ²-bench results | 85% | Coming soon | Coming soon |
| BrowseComp | Coming soon | 90.1% | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- Command A+ public-lane score: 44 (Estimated · #103/156)
- GPT-5.5 Pro public-lane score: Coming soon

### Reasoning

- Winner: Insufficient shared evidence
- Command A+ public-lane score: 57.2 (Unranked · 2 rankable rows)
- GPT-5.5 Pro public-lane score: Coming soon

### Multimodal & Grounded

- Winner: Insufficient shared evidence
- Command A+ public-lane score: 15.1 (#48/49)
- GPT-5.5 Pro public-lane score: Coming soon

| Benchmark | Command A+ | GPT-5.5 Pro | Winner |
|-----------|-----------|-----------|--------|
| MMMU | 75.1% | Coming soon | Coming soon |
| MMMU-Pro | 63% | Coming soon | Coming soon |
| CharXiv | 52.7% | Coming soon | Coming soon |

### Knowledge

- Winner: Insufficient shared evidence
- Command A+ public-lane score: 36.9 (Estimated · #152/186)
- GPT-5.5 Pro public-lane score: 59.6 (Estimated · #38/186)

| Benchmark | Command A+ | GPT-5.5 Pro | Winner |
|-----------|-----------|-----------|--------|
| HLE | Coming soon | 57.2% | Coming soon |
| HLE w/o tools | Coming soon | 43.1% | Coming soon |

### Instruction Following

- Winner: Insufficient shared evidence
- Command A+ public-lane score: 89.2 (#21/124)
- GPT-5.5 Pro public-lane score: Coming soon

### Mathematics

- Winner: Insufficient shared evidence
- Command A+ public-lane score: Coming soon
- GPT-5.5 Pro public-lane score: 70.1 (Unranked · 3 rankable rows)

| Benchmark | Command A+ | GPT-5.5 Pro | Winner |
|-----------|-----------|-----------|--------|
| FrontierMath (legacy) | Coming soon | 52.4% | Coming soon |
| FrontierMath v2 (Tiers 1-3) | Coming soon | 51.000% | Coming soon |
| FrontierMath v2 (Tier 4) | Coming soon | 39.600% | Coming soon |

## FAQ

### Can I compare Command A+ and GPT-5.5 Pro on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but sourced benchmark coverage is still incomplete for a fair score-level comparison.

### Why does this page show "coming soon" values?

BenchLM only calls winners when public benchmark coverage is available on both sides of the comparison.

## Related Comparisons

- [Command A+ vs GPT-5.5](/compare/command-a-plus-vs-gpt-5-5)
- [GPT-5.5 Pro vs GPT-5.5](/compare/gpt-5-5-vs-gpt-5-5-pro)
- [Command A+ vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-command-a-plus)
- [GPT-5.5 Pro vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-gpt-5-5-pro)

## Explore More

- [Command A+ profile](/models/command-a-plus)
- [GPT-5.5 Pro profile](/models/gpt-5-5-pro)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)