Cohere • Coding · Agentic · Long Context

Use Command A (Mar 25) for Free

Command A (March 2025) is Cohere's flagship enterprise model — state-of-the-art performance with 256K context, 23 languages, and enterprise-grade reliability designed for the world's largest organizations.

3,000+ registered users 100+ daily active No credit card required No API key needed Released March 2025 111B parameters 256K tokens context

What Is Command A (Mar 25)? — Complete Guide

Command A (Mar 25) is an AI model released March 2025 by Cohere, a leading organization in large language model research. Cohere's enterprise flagship — 111B params, 256k context. Elite for long documents, agentic tasks, and enterprise RAG. With 111B and a 256K tokens context window, Command A (Mar 25) is designed to excel across a range of demanding tasks — from software engineering and mathematical problem-solving to multilingual content generation and long-document analysis.

Command A (Mar 25) uses a dense transformer architecture with 111B of parameters, all of which are active for every input token. Dense architectures provide predictable, consistent behavior across diverse task types — there are no "cold" experts to warm up, and quality is uniform across prompts. Cohere's training pipeline combined large-scale pretraining on Proprietary Cohere dataset across 23 languages with supervised fine-tuning and alignment techniques (RLHF or DPO), producing Command A (Mar 25)'s characteristic balance of capability, helpfulness, and safety.

As of 2026-10-16, Command A (Mar 25) by Cohere demonstrates measurable performance on standard AI evaluation benchmarks. On MMLU — which tests world knowledge across 57 academic subjects from elementary to professional level — it achieves 81.0%. For software engineering tasks, Command A (Mar 25) scores 78.4% on HumanEval, which tests ability to write correct functions from docstrings. These scores place Command A (Mar 25) — at 111B of parameters — in a competitive position within its model class. Note that benchmark scores reflect controlled evaluation conditions; real-world performance varies by task, prompt design, and domain specificity.

The primary strengths of Command A (Mar 25) are: Cohere's flagship enterprise model for RAG and tool-use workflows; 256K context — processes ~170K words or 500+ pages in one pass; Multi-step tool calling for complex API workflows; 23 languages with enterprise-grade reliability. These make it particularly well-suited for Enterprise search and RAG deployments, Multi-step business process automation, Legal, financial, medical document analysis in 23 languages. Users working on complex, multi-step problems benefit most from Command A (Mar 25)'s ability to maintain coherence across long inputs and produce structured, verifiable outputs.

Like all current AI systems, Command A (Mar 25) has limitations: Not open-source — requires Cohere API subscription; Higher pricing than open alternatives. For production deployments, validating outputs against authoritative sources — especially for domain-specific or time-sensitive information — remains best practice. Cohere continues to improve Command A (Mar 25) through ongoing research.

Command A (Mar 25) is available on LITHOVEX AI with a free account. Unlike direct API access — which requires billing setup, API key management, and per-token charges — LITHOVEX AI provides a seamless browser interface with no setup required, making Command A (Mar 25) accessible to students, researchers, developers, and early-stage teams globally.

Command A (Mar 25) Capabilities

Coding
Code generation, debugging, refactoring
Agentic
Executes tasks and uses tools
Long Context
Handles very long documents
Fast Inference
Optimized for quick responses

Command A (Mar 25) — Technical Specifications

Provider
Cohere
Parameters
111B
Context Window
256K tokens
Released
March 2025
Speed
medium
License
CC BY-NC 4.0 for research; commercial requires API agreement
Origin
Canada
Knowledge Cutoff
Early 2025
Architecture: Dense transformer, 111B parameters
Training Data: Proprietary Cohere dataset across 23 languages
Languages: 23 languages including English, French, German, Spanish, Italian, Japanese, Korean, Portuguese, Arabic, Chinese
Open Source: No — proprietary model weights

Benchmark Performance — Command A (Mar 25)

MMLU
Massive Multitask Language Understanding — tests world knowledge across 57 academic subjects from elementary to professional level
81.0%
HumanEval
OpenAI's Python coding benchmark — tests ability to write correct functions from docstrings
78.4%

As of 2026-10-16, Command A (Mar 25) by Cohere demonstrates measurable performance on standard AI evaluation benchmarks. On MMLU — which tests world knowledge across 57 academic subjects from elementary to professional level — it achieves 81.0%. For software engineering tasks, Command A (Mar 25) scores 78.4% on HumanEval, which tests ability to write correct functions from docstrings. These scores place Command A (Mar 25) — at 111B of parameters — in a competitive position within its model class. Note that benchmark scores reflect controlled evaluation conditions; real-world performance varies by task, prompt design, and domain specificity.

Best Use Cases

Enterprise search and RAG deployments
Multi-step business process automation
Legal, financial, medical document analysis in 23 languages

Why Choose Command A (Mar 25)?

Cohere's flagship enterprise model for RAG and tool-use workflows
256K context — processes ~170K words or 500+ pages in one pass
Multi-step tool calling for complex API workflows
23 languages with enterprise-grade reliability

Strengths

Cohere's flagship enterprise model for RAG and tool-use workflows
256K context — processes ~170K words or 500+ pages in one pass
Multi-step tool calling for complex API workflows
23 languages with enterprise-grade reliability

Limitations

Not open-source — requires Cohere API subscription
Higher pricing than open alternatives

Architecture & Technical Design

Dense transformer, 111B parameters

The training pipeline for Command A (Mar 25) involves multiple stages: large-scale pretraining on Proprietary Cohere dataset across 23 languages to develop broad world knowledge, followed by supervised fine-tuning on instruction-response pairs, and alignment techniques such as RLHF or DPO. Each stage refines the model's helpfulness, accuracy, and safety. Cohere's research team — based in Canada — has optimized Command A (Mar 25) for the specific capability profile described above.

Inference efficiency: Command A (Mar 25) at 111B is designed to deliver quality outputs at practical serving speeds. Its 256K tokens context window enables processing entire documents, multi-file codebases, and extended conversation histories — particularly valuable for contract review, technical documentation analysis, and codebase-level AI assistance.

How to Use Command A (Mar 25) on LITHOVEX AI

Getting started with Command A (Mar 25) on LITHOVEX AI takes under two minutes. Follow these steps:

1. Create your free account — Visit the LITHOVEX AI sign-up page and register with your email. No credit card. Takes about 30 seconds.
2. Select Command A (Mar 25) — Search for "Command A (Mar 25)" in the model browser or browse by Cohere. Click to open the chat interface.
3. Start your first conversation — Type your question or task. Paste code, ask for analysis, or upload documents directly.
4. Refine and iterate — Ask follow-up questions, request revisions, or try alternative approaches. Command A (Mar 25) maintains full conversation context.
5. Compare with other models — Switch to any of LITHOVEX AI's 200+ models to compare outputs and find the best fit for your task — no additional subscriptions needed.

For best results with Command A (Mar 25): provide specific, context-rich prompts; include examples when generating code; specify output format when structure matters; break complex tasks into focused sub-questions.

Real-World Use Cases — Command A (Mar 25)

Example 1

Enterprise AI for Fortune 500 document processing

Example 2

Long-form legal and regulatory analysis with 256K context

Example 3

Global enterprise customer support in 23 languages

Example 4

Intelligent business process automation

Example 5

Complex multi-document synthesis for research and strategy

About Cohere

Cohere is a Toronto-based AI company founded in 2019 by researchers including Aidan Gomez — one of the co-authors of the original "Attention Is All You Need" transformer paper. The company focuses on enterprise-grade language models optimized for business: retrieval-augmented generation (RAG), tool use, and multilingual document processing. The Command model family supports up to 256K token context windows, 23+ languages, and reliable structured output — capabilities specifically tailored for financial services, healthcare, and legal enterprise customers. Cohere has raised over $440 million and counts Oracle, Salesforce, and NVIDIA among its investors.

Funding: Raised $445M+; valued at $5B+

Founded: 2019, headquartered in Canada.

Visit the official Cohere website →

Why pay when Command A (Mar 25) is free on LITHOVEX AI?

Official/Direct Access

Enterprise pricing. Cohere Trial tier available. API: approximately $0.15 per million input tokens, $0.60 per million output tokens for smaller models.
Subscription or per-token billing required
API key setup and billing configuration
Usage limits and overage fees
Credit card required upfront
Separate subscriptions for each model

LITHOVEX AI — Free Account

On LITHOVEX AI, access Command A (Mar 25) and 200+ other frontier models with a single free account — no API key, no subscription, no credit card.
Free account access — no subscription required
No API key required
No credit card required
Same model, identical output quality
200+ models under one account, $0

How Command A (Mar 25) Compares to Alternatives

Command A (Mar 25) by Cohere competes in a field with several strong alternatives. Below is a detailed side-by-side comparison against commonly listed alternatives, using benchmark data and capability profiles in the catalog.

Command A (Mar 25) vs Qwen3 235B-A22B (MoE)
Qwen • 235B total (22B active via MoE)
Metric Command A (Mar 25) Qwen3 235B-A22B (MoE)
Parameters 111B 235B total (22B active via MoE)
Context Window 256K tokens 128K tokens
Open Source No Yes
Reasoning — Yes
Vision / Multimodal — —
MMLU 81.0% 93.5%
HumanEval 78.4% 96.2%
Where Qwen3 235B-A22B (MoE) wins
Extended chain-of-thought reasoning
Open-source weights — self-hostable
Different provider — diversity in responses
Where Command A (Mar 25) wins
Command A (Mar 25) excels in Enterprise search and RAG deployments
Command A (Mar 25)'s Cohere training gives it distinct strengths
Both are available free on LITHOVEX AI
Verdict: Qwen3 235B-A22B (MoE) wins for self-hosting. Command A (Mar 25) excels for Enterprise search and RAG deployments.
Command A (Mar 25) vs DeepSeek-V3.1
DeepSeek • 671B total (37B active via MoE)
Metric Command A (Mar 25) DeepSeek-V3.1
Parameters 111B 671B total (37B active via MoE)
Context Window 256K tokens 128K tokens
Open Source No Yes
Reasoning — —
Vision / Multimodal — —
MMLU 81.0% 91.7%
HumanEval 78.4% 93.8%
Where DeepSeek-V3.1 wins
Open-source weights — self-hostable
Different provider — diversity in responses
Stronger on MMLU
Where Command A (Mar 25) wins
Command A (Mar 25) has stronger agentic tool-use capabilities
Verdict: DeepSeek-V3.1 wins for self-hosting. Command A (Mar 25) excels for Enterprise search and RAG deployments.
Command A (Mar 25) vs DeepSeek-V3
DeepSeek • 671B total (37B active via MoE)
Metric Command A (Mar 25) DeepSeek-V3
Parameters 111B 671B total (37B active via MoE)
Context Window 256K tokens 128K tokens
Open Source No Yes
Reasoning — —
Vision / Multimodal — —
MMLU 81.0% 88.5%
HumanEval 78.4% 89.9%
Where DeepSeek-V3 wins
Open-source weights — self-hostable
Different provider — diversity in responses
Stronger on MMLU
Where Command A (Mar 25) wins
Command A (Mar 25) excels in Enterprise search and RAG deployments
Command A (Mar 25)'s Cohere training gives it distinct strengths
Both are available free on LITHOVEX AI
Verdict: DeepSeek-V3 wins for self-hosting. Command A (Mar 25) excels for Enterprise search and RAG deployments.

Both Command A (Mar 25) and the models above are available free on LITHOVEX AI — test them side by side on your real tasks before committing to a subscription with any provider.

Global Availability & International Use

Command A represents Cohere's most ambitious enterprise AI release, targeting Fortune 500 companies globally. Its 256K context window, multilingual enterprise features, and robust API make it particularly valued by international corporations with complex document processing needs.

Command A (Mar 25) — Version History & Updates

Command A (Mar 25) by Cohere has the following version history and notable updates:

March 2025 — Command A released with 256K context and improved tool calling

For the complete changelog and latest release notes, visit the official Cohere model page.

Frequently Asked Questions — Command A (Mar 25)

What is Command A (Mar 25)?
Command A (Mar 25) is an advanced AI model developed by Cohere headquartered in Canada. Cohere's enterprise flagship — 111B params, 256k context. Elite for long documents, agentic tasks, and enterprise RAG. It uses Dense transformer, with 111B of learned knowledge and supports 256K tokens. As of 2026-10-16, Command A (Mar 25) is available on LITHOVEX AI with a free account — no API key, no credit card, and no installation required. You can start using it from any modern web browser in under two minutes.
Can I use Command A (Mar 25) for free on LITHOVEX AI?
Yes — LITHOVEX AI provides free access to Command A (Mar 25) through a free account. Direct API access from Cohere requires billing setup, API key management, and careful token-usage monitoring. LITHOVEX AI removes all those barriers: sign up once with your email address, and you immediately unlock Command A (Mar 25) alongside 200+ other frontier AI models. Free accounts include generous daily message limits designed for real professional and research workflows.
What are the best use cases for Command A (Mar 25)?
Command A (Mar 25) is optimally suited for Enterprise search and RAG deployments, Multi-step business process automation, Legal, financial, medical document analysis in 23 languages. Cohere designed and trained this model specifically to excel at tasks that require accurate, multi-language code generation and software engineering workflows. Professionals report strong results in Legal, financial, medical document analysis in 23 languages.
How large is the context window of Command A (Mar 25)?
Command A (Mar 25) supports 256K tokens. A context window determines how much text the model can read and reason over in a single session — from conversation history and code files to legal documents and research papers. At 256K tokens, Command A (Mar 25) can process roughly 192,000 words (about 600 pages) in a single conversation. The full context window is available on LITHOVEX AI.
What makes Command A (Mar 25) different from other AI models?
Command A (Mar 25) stands out because of Cohere's flagship enterprise model for RAG and tool-use workflows. 256K context — processes ~170K words or 500+ pages in one pass. Multi-step tool calling for complex API workflows. Built by Cohere, it is trained on Proprietary Cohere dataset across 23 languages using a carefully optimized training pipeline combining large-scale pretraining with instruction tuning and alignment. Its recorded benchmark scores — MMLU: 81.0%, HumanEval: 78.4% — validate its competitive position. These qualities make it a strong choice compared to deepseek-ai/DeepSeek-V3 and Qwen/Qwen3-32B, particularly for users prioritizing Cohere's flagship enterprise model for RAG and tool-use workflows.
How does Command A (Mar 25) perform on benchmarks?
Command A (Mar 25) has been evaluated on independent AI benchmarks with the following results: MMLU — 81.0%; HumanEval — 78.4%. Benchmarks measure specific capabilities: MMLU tests breadth of world knowledge, HumanEval tests Python code generation accuracy, MATH and AIME test mathematical reasoning, and IFEval tests instruction-following reliability. Real-world performance on your specific tasks may differ from controlled benchmark conditions.
Is Command A (Mar 25) open-source?
Command A (Mar 25) is a CC BY-NC 4.0 for research; commercial requires API agreement-licensed model. The weights are not publicly available for download — access is provided through Cohere's API or through platforms like LITHOVEX AI that integrate with the model. LITHOVEX AI provides free access without requiring you to set up an API subscription.
What is the architecture of Command A (Mar 25)?
Command A (Mar 25) is built on Dense transformer, 111B parameters. This is a dense transformer architecture where all 111B are active for every input token. Dense models provide predictable, consistent quality across all task types. Cohere's training pipeline — large-scale pretraining, supervised fine-tuning, and alignment — produces the characteristic capabilities Command A (Mar 25) is known for.
Is Command A (Mar 25) safe for enterprise and professional use?
Command A (Mar 25) has undergone instruction tuning and alignment to reduce harmful, biased, or factually incorrect outputs. For enterprise use: all LITHOVEX AI requests travel over encrypted HTTPS connections. For organizations with strict compliance requirements (HIPAA, SOC 2, GDPR, PDPA), review both Cohere's data processing terms and LITHOVEX AI's privacy policy. For workloads involving regulated personal data or proprietary intellectual property, consider a self-hosted deployment using the open model weights. LITHOVEX AI's free tier is appropriate for professional research, development, and content-generation workflows.
How does Command A (Mar 25) compare to GPT-4o and Claude?
Command A (Mar 25) and GPT-4o/Claude compete in different dimensions. GPT-4o excels at multimodal reasoning and has the most extensive ecosystem integrations; Claude models are known for accuracy, long-context coherence, and instruction-following nuance. Command A (Mar 25) — by Cohere — offers Cohere's flagship enterprise model for RAG and tool-use workflows, which makes it a strong choice for Enterprise search and RAG deployments. The best model for any given task depends on your specific workflow. LITHOVEX AI gives you access to all these models so you can compare them directly on your actual tasks without paying multiple API subscriptions.
What training data was Command A (Mar 25) trained on?
Command A (Mar 25) was trained on Proprietary Cohere dataset across 23 languages. The model's knowledge cutoff date is Early 2025, meaning it has no information about events after that date unless you provide it in your prompt. Like all large language models, Command A (Mar 25)'s training data shapes its factual knowledge, language capabilities, and inherent biases. For the most accurate and current information on specific topics, always verify critical facts from authoritative sources.
Can I use Command A (Mar 25) on mobile?
Yes. LITHOVEX AI is fully responsive and optimized for mobile browsers on iOS and Android. Command A (Mar 25) runs entirely server-side — your phone only needs a stable internet connection and a modern browser (Chrome, Safari, Firefox). The interface automatically adapts to smaller screens, making it practical for quick tasks, brainstorming, code review, and document analysis from anywhere in the world.
What programming languages does Command A (Mar 25) support for coding?
Command A (Mar 25) has strong coding capabilities and supports a broad range of programming languages including Python, JavaScript/TypeScript, Go, Rust, Java, C/C++, SQL, Shell/Bash, Ruby, PHP, Swift, and many others. Cohere trained Command A (Mar 25) on extensive code corpora, enabling high-quality generation, debugging, refactoring, and explanation across all major languages. It performs particularly well on code generation, function completion, and algorithmic problem-solving.
Is there a usage limit when using Command A (Mar 25) on LITHOVEX AI?
Free accounts on LITHOVEX AI include generous daily message limits designed to accommodate real professional workflows. You will not hit a limit in the middle of a normal working session. Premium accounts (at $40/month) offer higher or unlimited throughput for power users, API builders, and teams with production workloads. Unlike direct API access — which charges per token and requires prepayment — LITHOVEX AI's free tier lets you use Command A (Mar 25) extensively before committing to any paid plan.
Who built Command A (Mar 25) and who is Cohere?
Command A (Mar 25) was created by Cohere headquartered in Canada, founded in 2019. Cohere is a Toronto-based AI company founded in 2019 by researchers including Aidan Gomez — one of the co-authors of the original "Attention Is All You Need" transformer paper. The company focuses on enterprise-grade language models optimized for business: retrieval-augmented generation (RAG), tool use, and multilingual document processing. The Com... Their work has contributed significantly to the open AI ecosystem, and Command A (Mar 25) represents one of their most notable contributions.
What alternatives to Command A (Mar 25) are available on LITHOVEX AI?
LITHOVEX AI offers 200+ AI models. If Command A (Mar 25) does not perfectly fit your workflow, strong alternatives include deepseek-ai/DeepSeek-V3 and Qwen/Qwen3-32B. These share similar capabilities but may differ in context window size, speed, parameter count, or task specialization. You can switch between models mid-session on LITHOVEX AI and compare outputs directly — making it easy to find the best model for your specific needs without paying multiple API subscriptions.
Does Command A (Mar 25) support image or vision inputs?
Command A (Mar 25) is a text-only model and does not process image inputs. For vision tasks, LITHOVEX AI offers several multimodal alternatives — including Qwen VL, LLaVA, Gemma 3, and IDEFICS2 — all accessible with the same free account.
How much does Command A (Mar 25) cost to use?
On LITHOVEX AI, Command A (Mar 25) is free — create a free account and start chatting with no credit card required. Through official channels, Cohere API: $2.50/MTok input, $10.00/MTok output. For most individual users, researchers, and small teams, LITHOVEX AI's free tier provides sufficient access. Enterprise teams needing higher throughput or API integration can upgrade to LITHOVEX AI Premium at $40/month, which unlocks all 200+ models with high-volume access.

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