---
title: "Model releases"
type: "topic"
url: "https://aifordevs.org/topics/models"
markdown: "https://aifordevs.org/topics/models.md"
publisher: "AI for Devs"
license: "https://aifordevs.org/reuse"
attribution: "Credit AI for Devs and link to https://aifordevs.org/topics/models"
---

# Model releases

New models from frontier labs and open-weight releases, read for what changes for developers: context length, pricing, tool use, and license.

## Articles

- [Best LLM for coding: November 2026 benchmarks, compared](https://aifordevs.org/articles/best-llm-for-coding.md): The best LLM for coding as of November 2026, by situation: agents, value, large repos, local hardware. Dated scores and who ran each benchmark. (2026-11-08)
- [Claude API pricing: caching, batch, and real bills](https://aifordevs.org/articles/claude-api-pricing.md): Claude API pricing for every current model as of November 8, 2026, with cache break-even math, batch stacking, tool fees, and a tested cost calculator. (2026-11-08)
- [Gemini API pricing: free tier, caching, and real bills](https://aifordevs.org/articles/gemini-api-pricing.md): Gemini API pricing for every current model as of November 8, 2026: free versus paid, cache storage math, batch, grounding, thinking, and a tested calculator. (2026-11-08)
- [LoRA fine tuning: QLoRA, r, alpha, and a tested PEFT script](https://aifordevs.org/articles/lora-fine-tuning.md): LoRA fine tuning from the paper to serving: r, alpha, QLoRA, dataset format, and a PEFT script run on CPU with real output, adapter size, and evals. (2026-11-08)
- [Mixture of experts: how MoE works and what it costs](https://aifordevs.org/articles/mixture-of-experts.md): Mixture of experts LLMs load every expert but run only a few per token. Compare total and active parameters, and see what memory, batching, and routing cost. (2026-11-08)
- [vLLM vs SGLang, plus Ollama and llama.cpp compared](https://aifordevs.org/articles/vllm-sglang-llama-cpp.md): vLLM vs SGLang compared on prefix caching, hardware, and constrained decoding, plus Ollama and llama.cpp. Every default checked November 8, 2026. (2026-11-08)

## Glossary terms

- [Mixture of experts](https://aifordevs.org/glossary/mixture-of-experts.md): Mixture of experts (MoE) is a model architecture that replaces selected feed-forward layers with many expert sub-networks and routes each token to only a few of them. Total parameters can be very large while the compute per token stays close to that of a much smaller dense model.
- [Reasoning model](https://aifordevs.org/glossary/reasoning-model.md): A reasoning model is a model trained to generate intermediate reasoning tokens before its final answer. It trades latency and output tokens for better results on math, code, and multi-step problems.
- [Small language model](https://aifordevs.org/glossary/small-language-model.md): A small language model is a language model small enough to run on a single consumer GPU, a laptop, or a phone, usually under about 10 billion parameters. It suits narrow tasks, low latency, and keeping data on the device.
- [Transformer](https://aifordevs.org/glossary/transformer.md): A transformer is the neural network architecture behind modern LLMs, introduced in the 2017 paper Attention Is All You Need (Vaswani et al.). It stacks attention and feed-forward layers and processes all tokens of the input in parallel.

## Platforms

- [OpenAI API](https://aifordevs.org/platforms/openai-api.md): GPT and reasoning models with the Responses API, tool calling, structured outputs, and realtime audio.
- [Claude API](https://aifordevs.org/platforms/anthropic-api.md): Claude models through the Messages API, with tool use, prompt caching, and batch processing.
- [Gemini API](https://aifordevs.org/platforms/gemini-api.md): Gemini models for text, image, audio, and video input, available through Google AI Studio and Vertex AI.
- [Mistral AI](https://aifordevs.org/platforms/mistral.md): Hosted API for Mistral's models, several of which are also released as open weights.
- [DeepSeek API](https://aifordevs.org/platforms/deepseek-api.md): OpenAI-compatible API for DeepSeek's chat and reasoning models, which are also published as open weights.
- [xAI API](https://aifordevs.org/platforms/xai-api.md): Grok models through an API that is compatible with the OpenAI and Anthropic SDKs.
- [Amazon Bedrock](https://aifordevs.org/platforms/amazon-bedrock.md): Managed access to models from several labs inside your AWS account, with IAM, VPC, and guardrails.
- [Vertex AI](https://aifordevs.org/platforms/vertex-ai.md): Google Cloud's platform for Gemini and third-party models, with tuning, evaluation, and agent tooling.