Command A+
BenchLM is tracking Command A+, but this profile is currently excluded from the public leaderboard because it still lacks enough non-generated benchmark coverage to rank safely. Only non-generated public benchmark rows appear below.
Command A+ is a open weight model with a 128K token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.
This profile currently has 6 of 196 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Its strongest category is Multimodal & Grounded (#79). This performance profile makes it particularly strong for screenshots, documents, charts, and grounded multimodal workflows.
Ranking Distribution
Category rank across 1 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
Coding
Reasoning
Knowledge
Math
Multilingual
Multimodal
#79Inst. Following
Benchmark Details
Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.
Compare This Model
See how Command A+ stacks up against similar models
Frequently Asked Questions
How does Command A+ perform overall in AI benchmarks?
Command A+ has 6 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.
Is Command A+ good for knowledge and understanding?
Command A+ has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.
Is Command A+ good for coding and programming?
Command A+ has visible benchmark coverage in coding and programming, but BenchLM does not currently assign it a global category rank there.
Is Command A+ good for agentic tool use and computer tasks?
Command A+ has visible benchmark coverage in agentic tool use and computer tasks, but BenchLM does not currently assign it a global category rank there.
Is Command A+ good for multimodal and grounded tasks?
Command A+ ranks #79 out of 117 models in multimodal and grounded tasks benchmarks with an average score of 32.2. There are stronger options in this category.
Is Command A+ open source?
Yes, Command A+ is an open weight model created by Cohere, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Does Command A+ have full benchmark coverage on BenchLM?
Not yet. Command A+ currently has 6 published benchmark scores out of the 196 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of Command A+?
Command A+ has a context window of 128K, which determines how much text it can process in a single interaction.
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