What are open-source LLMs?
Open-source large language models are AI systems built with publicly available code. Anyone can inspect, audit, and verify how they work. On Anuma, they run with zero data retention.
How open-source LLMs work
A large language model (LLM) is the AI engine behind tools like ChatGPT and DeepSeek. It processes your text and generates responses.
An open-source LLM is one where the source code and model weights are publicly available. This means:
- Anyone can inspect the code to verify what it does with your data
- Independent researchers can audit it for safety and bias
- No single company controls how it works
- It can run on your own hardware or on infrastructure you trust
Examples on Anuma: DeepSeek (DeepSeek), Kimi (Moonshot AI), MiniMax (MiniMax), Cerebras Qwen 3 (Cerebras), GLM (Zhipu).
Open-source vs closed-source LLMs
Two approaches to AI, both included in every Anuma plan.
Open-Source LLMs | Closed-Source LLMs | |
|---|---|---|
| Source code | Publicly available, auditable | Proprietary, not inspectable |
| Who builds them | Open research labs, communities | OpenAI, Anthropic, Google, xAI |
| Data retention | Zero on Anuma. Nothing stored | Minimized on Anuma. Encrypted in transit |
| Where they run | Your device or trusted infrastructure | Provider servers with enterprise hardware |
| Transparency | Full. You can verify everything | Limited. You trust their privacy policy |
| Best for | Coding, math, privacy-sensitive work | Creative writing, complex reasoning, nuanced analysis |
| Quality | Rivals closed-source on coding/math | Generally leads on creative/nuanced tasks |
| On Anuma | All included in every plan | All included in every plan |
Why open-source LLMs matter
Transparency, independence, and privacy by design.
Transparency
You don't have to trust a company's privacy policy. You can read the code yourself. Open-source means no hidden data collection, no secret training on your prompts.
Independence
Open-source LLMs aren't controlled by any single company. If one provider changes their terms, raises prices, or adds restrictions, open-source alternatives are always available.
Privacy by design
On Anuma, open-source LLMs run with zero data retention. Your prompts are never stored, logged, or used for training. The data never leaves your control.
Open-source LLMs on Anuma
Access the strongest open-source LLMs from a single account. New models are added as they launch.
DeepSeek
Open-SourceOne of the strongest coding LLMs available globally. Excels at algorithmic problems, debugging, code generation, and mathematical reasoning. Rivals closed-source LLMs on technical tasks.
Kimi
Open-SourceEnhanced reasoning and coding. Among the strongest open-source options for analytical tasks, complex problem-solving, and technical writing.
MiniMax
Open-SourceRivals frontier closed-source LLMs on key benchmarks. The most capable general-purpose open-source LLM, strong across conversation, analysis, and content generation.
Cerebras Qwen 3
Open-SourceA massive 235 billion parameter model with ultra-fast inference. One of the largest open-source LLMs available.
GLM
ZhipuStrong multilingual performance and general reasoning. Particular strength in non-English languages.
Who uses open-source LLMs?
Open-source LLMs serve anyone who values transparency, privacy, and control.
Developers
DeepSeek rivals the best closed-source LLMs for coding. Debug, review, generate code without any data leaving your environment.
Privacy-conscious professionals
Lawyers, doctors, financial advisors handling sensitive client data. Zero retention means zero risk.
Researchers
Run analysis without worrying about data being used to train commercial models. Full transparency into model behavior.
Businesses with sensitive data
Product roadmaps, financial models, competitive analysis stay private. No data sent to third-party servers.
Anyone who values knowing how their tools work
If you want certainty about where your data goes, open-source gives you that.
Zero data retention by default.
Your prompts and responses are never stored. Nothing logged. Nothing trained on. This isn't a setting you enable. It's how open-source LLMs work on Anuma.
Your memory still works.
Open-source LLMs on Anuma access your Memory Vault just like closed-source LLMs. Your context carries across. Privacy doesn't mean starting over.
Switch to closed-source LLMs anytime.
Need ChatGPT or Claude for a specific task? One tap. Your memory follows. Use open-source for sensitive work, closed-source for capability-heavy tasks.
DeepSeek
Claude
ChatGPTFrequently asked questions
Everything you need to know about open-source LLMs on Anuma.
A large language model where the source code and weights are publicly available. Anyone can inspect, audit, and run the model independently. This is different from closed-source LLMs like ChatGPT or Claude where the code is proprietary.
DeepSeek, Kimi, MiniMax, Cerebras Qwen 3, GLM. All are included on every plan, including the free tier.
Open-source LLMs match or beat closed-source on coding and math tasks. Closed-source LLMs generally lead on creative writing and nuanced reasoning. The gap is narrowing rapidly.
Yes. On Anuma, open-source LLMs run with zero data retention. Your prompts and responses are never stored, logged, or used for training.
Not necessarily. DeepSeek rivals ChatGPT and Claude on coding benchmarks. MiniMax competes with frontier closed-source LLMs on general tasks. For creative writing and nuanced reasoning, closed-source LLMs still have an edge, but the gap is closing.
Yes. Switch in one tap. Your Memory Vault carries your context across both. Use open-source for privacy-sensitive work and closed-source when you need maximum capability.
Open-source LLMs are included on every Anuma plan, including the free tier. You don't need a separate subscription.