llm-comparison

This project collects GPU benchmarks from various cloud providers and compares them to fixed per token costs. Use our tool for efficient LLM GPU selections and cost-effective AI models. LLM provider price comparison, gpu benchmarks to price per token calculation, gpu benchmark table

ParallelChat 是一款开源的多 AI 并行对话桌面应用，让你在一个界面中同时使用 ChatGPT、Kimi、Qwen、DeepSeek、GLM、Doubao、Yuanbao、Grok 等主流大模型，无需 API Key，完全免费。

LLM 비교 연구 기반 올인원 학습 허브 플랫폼 | GPT-4o · Gemini 2.0 Flash · Claude 4.5 Sonnet 의 정확도 분석을 토대로 학생들이 목적에 맞는 최적 모델을 선택하고 활용할 수 있도록 돕는 플랫폼을 제안합니다.

Complete guide for using alternative AI models with Claude Code — including DeepSeek, Qwen, MiniMax, Kimi, GLM, MiMo, StepFun, and more. Pricing, configs, and coding plans.

This is an opensource project allowing you to compare two LLM's head to head with a given prompt, this section will be regarding the backend of this project, allowing for llm api's to be incorporated and used in the front-end

MindTrial: Evaluate and compare AI language models (LLMs) on text-based tasks with optional file/image attachments and tool use. Supports multiple providers (OpenAI, Google, Anthropic, DeepSeek, Mistral AI, xAI, Alibaba, Moonshot AI, OpenRouter), custom tasks in YAML, and HTML/CSV/JSON reports.

Where should you get your AI tokens from — local GPU, pay-per-token API, or flat-fee subscription? Compare 34+ models by quality-adjusted tokens per dollar.

OpenRouter model information

Benchmark abierto en español de modelos de IA para negocios y agentes, con juez independiente (Phi-4). Calidad, costo, velocidad, contexto largo, trabajo agéntico y fuga de credenciales, cada uno por separado. Calculadora interactiva con tus propios pesos.

Privacy-first local AI model comparison platform with blind evaluation, per-model hyperparameters, and multi-configuration testing. Compare 2-6 models side-by-side through Ollama with zero cloud dependencies.

Comparison of small open source LLMs (8b parameters or less)

A fight club for LLMs. 🤫 Live demo → https://chatwar.ai

400+ free LLM models — Llama, Qwen, DeepSeek, Gemma, Mistral, GLM, Kimi, Nemotron, Command A+, MiniMax. Free API access, daily updated. Compare context windows, rate limits, modalities (text, vision, audio, code).

Comprehensive benchmark of OpenRouter free-tier LLMs for practical applications. Evaluates models for coding, Thai language, and general use.

aicharts plots published AI benchmark scores against cost and tokens per task, and a local collector measures your own agents' token use.

Open-source multimodal AI comparison platform to send one prompt and compare responses from multiple AI models side-by-side in real time.

Specification testing for structured LLM responses.

Detect behavioural drift between LLM versions before you upgrade. Compare model responses, classify regressions, and generate migration reports with validated prompt patches.

Comparison of free AI models available in OpenCode, including benchmarks, capabilities, limits, and real-world performance.

Side-by-side AI outputs for the same prompt — across model, effort and client, with time/token/cost metrics.