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AI · alternatives · 2026

24 alternatives to Substratus.AI

Deploy and finetune LLMs on K8s

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier. Substratus.AI launched in 2023; newer entries below may have overtaken it.

  1. 1
    LLMWare▲358

    Dev tool to make AI apps to deploy privately or locally

    2024 · llmware.ai · its alternatives →

  2. 2

    Hi HN! We're Gabriel & Viraj, and we're excited to open source TensorZero. To be a little cheeky, TensorZero is an open-source platform that helps LLM applications graduate from API wrappers into defensible AI products. 1. Integrate our model gateway 2. Send metrics or feedback 3. Unlock compounding improvements in quality, cost, and latency It enables a data & learning flywheel for LLMs by unifying: • Inference: one API for all LLMs, with <1ms P99 overhead • Observability: inference & feedback → your database • Optimization: better prompts, models, inference strategies • Experimentation:…

    2025 · github.com · its alternatives →

  3. 3

    Fine-tune LLM agents with online reinforcement learning - KhoomeiK/LlamaGym

    2024 · github.com · its alternatives →

  4. 4

    Hey HN! We’re building FinetuneDB (https:&#x2F;&#x2F;finetunedb.com&#x2F;), an LLM fine-tuning platform. It enables teams to easily create and manage high-quality datasets, and streamlines the entire workflow from fine-tuning to serving and evaluating models with domain experts. You can check out our docs here: (https:&#x2F;&#x2F;docs.finetunedb.com&#x2F;) FinetuneDB exists because creating and managing high-quality datasets is a real bottleneck when fine-tuning LLMs. The quality of your data directly impacts the performance of your fine-tuned models, and existing tools didn’t offer an easy…

    2024 · finetunedb.com · its alternatives →

  5. 5

    AI fine-tuning platform to create custom LLMs

    2024 · finetunedb.com · its alternatives →

  6. 6

    The low-code platform for testing AI apps

    2024 · langtail.com · its alternatives →

  7. 7
    Unsloth▲241

    Finetune LLMs 2x faster, 80% less memory

    2025 · unsloth.ai · its alternatives →

  8. 8

    Curated resources related to deploying LLMs into production

    2023 · its alternatives →

  9. 9

    Finetune your ML model in days - not weeks!

    2024 · finetunefast.com · its alternatives →

  10. 10

    LLM reinforcement fine-tuning platform to improve LLM output

    2025 · rubrik.com · its alternatives →

  11. 11

    Hi HN community, I have been working on benchmarking publicly available LLMs these past couple of weeks. More precisely, I am interested on the finetuning piece since a lot of businesses are starting to entertain the idea of self-hosting LLMs trained on their proprietary data rather than relying on third party APIs. To this point, I am tracking the following 4 pillars of evaluation that businesses are typically look into: - Performance - Time to train an LLM - Cost to train an LLM - Inference (throughput &#x2F; latency &#x2F; cost per token) For each LLM, my aim is to benchmark them for…

    2023 · github.com · its alternatives →

  12. 12
    LLM Gatewayfree tier▲296

    I built an OpenAI-compatible LLM gateway that routes requests to OpenAI, Anthropic, Ollama, vLLM, llama-server, SGLang... anything that speaks &#x2F;v1&#x2F;chat&#x2F;completions. Single Go binary, one YAML config file, no infrastructure. It does the things you'd expect from this kind of gateway... semantic routing via a three-layer cascade (keyword heuristics, embedding similarity, LLM classifier) that picks the best model when clients omit the model field, weighted round-robin load balancing across local inference servers with health checks and failover. The part I think is most…

    2025 · llmgateway.io · its alternatives →

  13. 13
    LLM Stats▲293

    I was overspending on GPT-4o. It was really hard to compare different models I could switch to, so I built this LLM comparison tool. It shows leaderboards, pricing, and performance data across 100+ LLMs (including all major providers and open-source models). Key features: - Live pricing comparisons - Benchmark Scores (MMLU, HumanEval, GPQA, etc.) - Context length vs cost analysis - Speed&#x2F;throughput tests across providers - Quality vs price visualizations - Open source (all data verifiable) Try it out: https:&#x2F;&#x2F;llmstats.com I'd like to know your opinion :) Tech stack: Next.js,…

    Oct 2025 · llm-stats.com · its alternatives →

  14. 14

    Parallel custom agents for complex tasks

    Mar 2026 · learn.chatgpt.com · its alternatives →

  15. 15
    LM Studio▲209

    Discover, download, and run local LLMs (incl. DeepSeek R1)

    2025 · lmstudio.ai · its alternatives →

  16. 16

    Find your best LLM for a local inference

    2023 · its alternatives →

  17. 17TL
  18. 18
    Taylor AI▲118

    Fine-tune open source LLMs in minutes

    2023 · trytaylor.ai · its alternatives →

  19. 19
    Pioneer▲113

    Fine-tune any LLM in minutes, with one prompt

    Apr 2026 · pioneer.ai · its alternatives →

  20. 20
    LLMTest▲125

    Use the right LLMs in your apps. Setup fallbacks. Be happy.

    May 2026 · llmtest.io · its alternatives →

  21. 21

    Vibe Training AI models

    Mar 2026 · its alternatives →

  22. 22

    The open source LLM router that connects your AI agents and harnesses to any provider in seconds. Subscriptions, pay-per-token, local models, and custom providers.

    2024 · manifest.build · its alternatives →

  23. 23CI
  24. 24

    all-in-one LLM evaluation platform

    2024 · confident-ai.com · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →