--- title: "maxtext vs ai-gateway" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ai-hypercomputer-maxtext-vs-ferro-labs-ai-gateway" tools: ["ai-hypercomputer-maxtext", "ferro-labs-ai-gateway"] --- # maxtext vs ai-gateway *GraphCanon updated Sep 20, 2026* ## Verdict Pick maxtext if maxText is a performant large language model built on the JAX framework, focusing on fine-tuning and scaling options for various architectures like GPT series, LLaMA family, Mistral, Mixtral; pick ai-gateway if ai-gateway from Ferro Labs supports over 30 LLMs with integrated caching, guardrails, A/B testing, and cost controls, making it ideal for managing multiple language models in. [maxtext](https://maxtext.readthedocs.io) reports 2.4k GitHub stars, 603 forks, and 340 open issues, last pushed Sep 6, 2026. [ai-gateway](https://docs.ferrolabs.ai) has 256 stars, 35 forks, and 68 open issues, last pushed Sep 10, 2026. Figures are from public GitHub metadata via [maxtext's repository](https://github.com/AI-Hypercomputer/maxtext) and [ai-gateway's repository](https://github.com/ferro-labs/ai-gateway). | | [maxtext](/tools/ai-hypercomputer-maxtext.md) | [ai-gateway](/tools/ferro-labs-ai-gateway.md) | | --- | --- | --- | | Tagline | A simple, performant, and scalable Jax LLM | Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls | | Stars | 2,413 | 256 | | Forks | 603 | 35 | | Open issues | 340 | 68 | | Language | Python | Go | | Adopt for | MaxText is a performant large language model built on the JAX framework, focusing on fine-tuning and scaling options for various architectures like GPT series, LLaMA family, Mistral, Mixtral. | ai-gateway from Ferro Labs supports over 30 LLMs with integrated caching, guardrails, A/B testing, and cost controls, making it ideal for managing multiple language models in a production environment. | | Persona | - | - | | Runtime | - | - | | License | MaxText is available under the Apache License 2.0, allowing for free use and modification, subject to appropriate attribution | Apache-2.0 - a permissive free software license | | Categories | LLM Frameworks, Model Training | Inference & Serving, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [maxtext](/tools/ai-hypercomputer-maxtext.md) | [ai-gateway](/tools/ferro-labs-ai-gateway.md) | | --- | --- | --- | | Days since push | 0d | 2d | | Open issues (now) | 340 | 68 | | Stars delta | +32 (30d) | +37 (30d) | | Open issues delta | +54 (30d) | +5 (30d) | | Full report | [trust report](/tools/ai-hypercomputer-maxtext/trust.md) | [trust report](/tools/ferro-labs-ai-gateway/trust.md) | ## Decision facts: maxtext - **Hosting:** unknown - N/A as details on hosting are not provided in the repository - **Adopt for:** MaxText is a performant large language model built on the JAX framework, focusing on fine-tuning and scaling options for various architectures like GPT series, LLaMA family, Mistral, Mixtral. - **License detail:** MaxText is available under the Apache License 2.0, allowing for free use and modification, subject to appropriate attribution ## Decision facts: ai-gateway - **Adopt for:** ai-gateway from Ferro Labs supports over 30 LLMs with integrated caching, guardrails, A/B testing, and cost controls, making it ideal for managing multiple language models in a production environment. - **License detail:** Apache-2.0 - a permissive free software license ## Choose when ### Choose maxtext if… - maxtext is primarily Python; ai-gateway is Go. - N/A as details on hosting are not provided in the repository - Tags unique to maxtext: deepseek, fine-tuning, gemma2, gemma3. - Also covers LLM Frameworks. - Use MaxText when you require high-performance training and tuning over different deep learning architectures within a unified framework like JAX ### Choose ai-gateway if… - ai-gateway is primarily Go; maxtext is Python. - Tags unique to ai-gateway: ai-gateway, litellm, llm-cost, llm-proxy. - Also covers Inference & Serving. - When you need to integrate more than 30 different LLM services including OpenAI and Anthropic ## When NOT to use maxtext - Avoid using MaxText if you are only interested in TensorFlow or PyTorch specific optimizations and functionalities without a seamless transition to JAX - Not recommended for users requiring model customization outside of supported architectures as it strictly adheres to Gemma2, GPT, LLaMA series, Mistral, Mixtral ## When NOT to use ai-gateway - If your project only involves one or two LLMs which does not necessitate the gateway's broad compatibility features - For small-scale projects that do not require comprehensive cost analysis tools - When custom integration for specific guardrails is required, as ai-gateway offers generalized settings ## Common questions ### What is the difference between maxtext and ai-gateway? maxtext: A simple, performant, and scalable Jax LLM. ai-gateway: Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls. See the comparison table for live GitHub stats and shared categories. ### When should I choose maxtext over ai-gateway? Choose maxtext over ai-gateway when maxtext is primarily Python; ai-gateway is Go; N/A as details on hosting are not provided in the repository; Tags unique to maxtext: deepseek, fine-tuning, gemma2, gemma3; Also covers LLM Frameworks; Use MaxText when you require high-performance training and tuning over different deep learning architectures within a unified framework like JAX. ### When should I choose ai-gateway over maxtext? Choose ai-gateway over maxtext when ai-gateway is primarily Go; maxtext is Python; Tags unique to ai-gateway: ai-gateway, litellm, llm-cost, llm-proxy; Also covers Inference & Serving; When you need to integrate more than 30 different LLM services including OpenAI and Anthropic. ### When should I avoid maxtext? Avoid using MaxText if you are only interested in TensorFlow or PyTorch specific optimizations and functionalities without a seamless transition to JAX Not recommended for users requiring model customization outside of supported architectures as it strictly adheres to Gemma2, GPT, LLaMA series, Mistral, Mixtral ### When should I avoid ai-gateway? If your project only involves one or two LLMs which does not necessitate the gateway's broad compatibility features For small-scale projects that do not require comprehensive cost analysis tools When custom integration for specific guardrails is required, as ai-gateway offers generalized settings ### Is maxtext or ai-gateway more popular on GitHub? maxtext has more GitHub stars (2,413 vs 256). Stars measure visibility, not whether either tool fits your constraints. ### Are maxtext and ai-gateway open source? Yes - both are open-source projects on GitHub (maxtext: Apache-2.0, ai-gateway: Apache-2.0). ### Where can I find alternatives to maxtext or ai-gateway? GraphCanon lists graph-backed alternatives at [maxtext alternatives](/tools/ai-hypercomputer-maxtext/alternatives) and [ai-gateway alternatives](/tools/ferro-labs-ai-gateway/alternatives) ([maxtext markdown twin](/tools/ai-hypercomputer-maxtext/alternatives.md), [ai-gateway markdown twin](/tools/ferro-labs-ai-gateway/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/ai-hypercomputer-maxtext-vs-ferro-labs-ai-gateway.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, maxtext or ai-gateway? maxtext: Very active. ai-gateway: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for maxtext and ai-gateway? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [maxtext trust report](/tools/ai-hypercomputer-maxtext/trust); [ai-gateway trust report](/tools/ferro-labs-ai-gateway/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ai-hypercomputer-maxtext`](/api/graphcanon/graph?tool=ai-hypercomputer-maxtext) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_