Codex Router routes low-cost LLMs through Codex

// 1d agoOPENSOURCE RELEASE

Codex Router routes low-cost LLMs through Codex

Codex Router is an open-source project that enables running Opencode models within Codex, allowing developers to utilize alternatives such as DeepSeek V4 Flash, Kimi K3, and Qwen 3.5 Max. By routing API requests to budget-friendly models, it offers a cost-effective solution for high-volume development tasks at a fraction of standard provider fees.

// ANALYSIS

Multi-model routing through existing coding tools is rapidly becoming essential for developers looking to maximize efficiency and control API costs.

–Significantly cuts API expenses, supporting up to 10,000 requests for approximately $10 per month.
–Integrates popular models like DeepSeek V4 Flash, Kimi K3, and Qwen 3.5 Max into the Codex workflow.
–Gives developers greater flexibility to swap and benchmark models based on price and performance.

// TAGS

codex-routercodexopen-sourcellmdeepseekdevtool

DISCOVERED

1d ago

2026-08-05

PUBLISHED

1d ago

2026-08-05

RELEVANCE

8/ 10

AUTHOR

Av1dlive

// KEEP READING

More AI developer news from the feed

EXPLORE FULL FEED

UPDATE11m ago

Netlify adds open-source model support via OpenRouter

Netlify has announced native support for open-source AI models across its developer platform. Through a new integration with OpenRouter, developers can call hundreds of open models directly from Netlify functions and edge functions with a zero-config setup that eliminates manual API key management and account creation. Furthermore, Netlify's Agent Runners now feature OpenCode, an open-source coding agent designed specifically for open models such as GLM 5.2 and Kimi 3, enabling developers to seamlessly mix and match frontier proprietary models with open-source alternatives.

MODEL29m ago

OpenAI rumored model Astra could launch next week

Reports from AI leakers suggest that OpenAI's next flagship model, codenamed Astra, may launch as early as next week. Described as OpenAI's largest pre-training effort since GPT-4.5, the model is currently being tested internally under the checkpoint codename "mewfour".

RESEARCH32m ago

Skill Entropy quantifies cross-skill LLM transitions

A novel research paper introduces "Skill Entropy," a metric designed to quantify the complexity of multi-step tasks requiring LLMs to dynamically switch between different cognitive skills. To evaluate this challenge, the authors created the Skill^2-Bench benchmark covering 558 skills across nine domains, and introduced Skill-Entropy Reinforcement Learning (RL), a training approach that incorporates skill prediction and sequence alignment into model rewards to significantly boost long-horizon reasoning performance.