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AI · alternatives · 2026

24 alternatives to Token Economics Calculator for AI inference hardware

Hi HN, I'm Paul from Tensordyne. We build AI inference systems and chips on logarithmic math. We've put together an interactive Token Economics Calculator to help make apples-to-apples comparisons of inference hardware across vendors: We're interested in how closely it lines up with the community's view of the market. Why we built this Investors and customers kept asking how our system compares to others (NVIDIA and a growing list of startups). Plenty of publicly available data exists, but it's scattered and inconsistent. News articles, provider sites, Artificial Analysis, MLCommons, and now…

Token Economics Calculator for AI Inference Hardware is an interactive tool from Tensordyne that compares AI inference hardware across different vendors using consistent metrics. It addresses the fragmented landscape… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1

    AI models that run on an inference cloud optimized for speed

    May 2026 · generalcompute.com · its alternatives →

  2. 2IB

    We wanted to do something very challenging to prove to ourselves that we can do anything we put our mind to. The reasoning for why we chose to build a toy TPU specifically is fairly simple: - Building a chip for ML workloads seemed cool - There was no well-documented open source repo for an ML accelerator that performed both inference and training None of us have real professional experience in hardware design, which, in a way, made the TPU even more appealing since we weren't able to estimate exactly how difficult it would be. As we worked on the initial stages of this project, we…

    2025 · tinytpu.com · its alternatives →

  3. 3

    Hi HN, We just opened public access to Qwen3‑Coder‑480B‑A35B‑Instruct via a REST/SDK API. Why it might be interesting: - Fully open-source (Apache‑2.0): https://github.com/QwenLM/Qwen3-Coder - 480B params (35B active MoE), long context up to 1M tokens with YaRN - Matches Claude Sonnet/GPT‑4o on SWE-Bench Verified (81.6%) - Free tier: 100K tokens/month

    2023 · netmind.ai · its alternatives →

  4. 4
    Fey 2.0▲389

    Hello! I built a stock screener (yes, powered by AI) that's fast and accurate. Every AI finance tool that tries to do this has stale data or relies too much on web search. We took a different approach. We're indexing all financial and price data in real time and searching on that. The benefit is you can input any granular query instead of fixed dropdowns and it's simply easier to type out what you want then going through a bunch of inputs. Example of queries that would work well: - Companies with over $10b in revenue and a 10% growth rate and sort them by P/E ratio - AI stocks with…

    2025 · fey.com · its alternatives →

  5. 5
    Banana▲235

    Serverless GPUs for Machine Learning inference

    2022 · banana.dev · its alternatives →

  6. 6

    Count tokens and estimate costs for any AI model

    2024 · tokencounter.co · its alternatives →

  7. 7
    ZeroGPU▲298

    The compute efficient layer for AI inference

    Jun 2026 · zerogpu.ai · its alternatives →

  8. 8
    Fabraix▲196

    We built Adversarial Cost to Exploit (ACE), a benchmark that measures the token expenditure an autonomous adversary must invest to breach an LLM agent. Instead of binary pass/fail, ACE quantifies adversarial effort in dollars, enabling game-theoretic analysis of when an attack is economically rational. We tested six budget-tier models (Gemini Flash-Lite, DeepSeek v3.2, Mistral Small 4, Grok 4.1 Fast, GPT-5.4 Nano, Claude Haiku 4.5) with identical agent configs and an autonomous red-teaming attacker. Haiku 4.5 was an order of magnitude harder to break than every other model; $10.21 mean…

    May 2026 · fabraix.com · its alternatives →

  9. 9
    Quanty▲104

    AI powered market analysis platform with GraphQL API

    2024 · quanty.ai · its alternatives →

  10. 10

    We wrote our inference engine on Rust, it is faster than llama cpp in all of the use cases. Your feedback is very welcomed. Written from scratch with idea that you can add support of any kernel and platform.

    2025 · github.com · its alternatives →

  11. 11
    Tokenwise▲143

    A smart LLM proxy that shows where you're overpaying

    Jun 2026 · tokenwisehq.com · its alternatives →

  12. 12

    See your LLM token bill before you hit send.

    2025 · tokenomy.ai · its alternatives →

  13. 13

    Find profitable crypto investments and filter out scams

    2020 · tokenmetrics.com · its alternatives →

  14. 14AT

    A 3.16M-parameter INT4 transformer running entirely in the on-chip memory of a Xilinx Kria KV260. Zero DRAM in the token loop, 59,965 tok/s on the fabric, bit-exact. Chat with it live.

    Aug 2026 · mikeayles.com · its alternatives →

  15. 15

    Hey there, fellow builders and makers! It has been busy in the machine room for that last 12 months. I have received many requests in the past to share my private finance AI-toolset with a wider audience. Hence, I'm super excited to share PinkLion, an AI-based Copilot for your investments. The tool was created to help investors make better & more rational investment decisions using the power of machine learning. https://pinklion.xyz/ The problem Investing in the stock and crypto market can be a daunting task, with countless factors to consider and a vast amount of information…

    2023 · pinklion.xyz · its alternatives →

  16. 16HI
  17. 17GA
  18. 18

    Private inference app that lets you see the token entropy, explore and change the token probabilities. Just released on macOS, iOS version next then other platforms. Here's a demo of it in action running DeepSeek Terminus: https://youtu.be/kts098EL2PQ Would love to hear any feedback or feature requests from the community.

    2025 · inferencer.com · its alternatives →

  19. 19

    Live LLM API pricing & accurate GPU VRAM calculator

    Jul 2026 · tokenswarm.io · its alternatives →

  20. 20

    Inference hosting for AI teams who ship fast and scale faster.

    2022 · banana.dev · its alternatives →

  21. 21

    The Emotion Engine has 32 MB of RAM total, so the trick is streaming weights from CD-ROM one matrix at a time during the forward pass — only activations, KV cache and embeddings live in RAM. This means models bigger than the RAM can still run, they just read more from disc. Had to build a custom quantized format (PSNT), hack endianness, write a tokenizer pipeline, and most of the PS2 SDK from scratch (releasing that separately). The model itself is also custom — a 10M param Llama-style architecture I trained specifically for this. And it works. On real hardware.

    Mar 2026 · github.com · its alternatives →

  22. 22

    TLDR: A small, vendor-agnostic inference loop that turns token logprobs/perplexity/entropy into an extra pass and reasoning for LLMs. - Captures logprobs/top-k during generation, computes perplexity and token-level entropy. - Triggers at most one refine when simple thresholds fire; passes a compact “uncertainty report” (uncertain tokens + top-k alts + local context) back to the model. - In our tests on technical Q&A / math / code, a small model recovered much of “reasoning” quality at ~⅓ the cost while refining ~⅓ of outputs. I kept seeing “reasoning” models behave…

    2025 · github.com · its alternatives →

  23. 23IM
  24. 24

    Compare real RAG infrastructure costs in seconds. Accurate 2026 pricing for Pinecone, Qdrant, and Milvus storage vs GPT-5 and DeepSeek-V3 token fees. Stop guessing your AI margins and calculate your total TCO now.

    Feb 2026 · bytecalculators.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 →