Blog — OpenRouter Blog

Is Kimi K3 Open Source? Weights, License, and How to Call It

Kimi K3 ships public weights under Moonshot AI's own Kimi K3 License, which is not an OSI-approved open-source license. This post explains the difference, what the license grants and requires, what the checkpoint contains, and how to call the model on OpenRouter with reasoning, vision, and tool calling.

September 24, 2026

Best Embedding Models in 2026

An embedding model decides what your retrieval system can find. We shortlisted the embedding models in our catalog for English RAG, multilingual retrieval, code search, text-and-image retrieval, and low-cost indexing, sent live requests to each one, and recorded their prices, context windows, and default vector sizes so you can pick a candidate and test it on your own data.

September 23, 2026

How to Use Jev: Moderation with the Jev API in TypeScript

A method for putting Jev to work on a new problem, worked end to end on marketplace listing moderation: what stays in code, what Jev sees, how to phrase the questions, and how to turn its probabilities into publish, hold, or reject.

September 23, 2026

Batch API: half-price inference by bundling requests

Send a whole workload in one POST, collect the results within 24 hours, and typically pay half the per-token price. Across 230k+ batches that completed over our two week beta period, the median finished in 7 minutes.

September 22, 2026

Is Jev as Accurate as Frontier Models at Classification?

Claude Opus 5 leads OpenRouter's classification task ranking by spend. We sent the same 3,080 Banking77 utterances to it and to Jev 1.13 through the Decisions API. Opus scored 84.4% to Jev's 81.0%, and Jev answered in 175 ms at $0.11 per thousand requests against 2.3 seconds and $2.42 for Opus.

September 22, 2026

What Is Nemotron 3.5 Lightning

Nemotron 3.5 Lightning is NVIDIA's open-weight 30B mixture-of-experts model with about 3B active parameters per token, built for the high-volume execution calls in an agent run. This post covers what the architecture means, how the model compares with Nemotron 3 Ultra, what context and features each OpenRouter endpoint exposes, and how to call it with structured outputs.

September 22, 2026

Two Hours of Work That Takes a Week

For Descript, testing a new model was a couple of hours of work and a week of waiting. The team removed the waiting. Evaluations run in an hour or two now, and nobody has to ask an engineer for time. This post covers the queue, what replaced it, and what changed once evaluation ran several times a week.

September 21, 2026

Jev vs LLM-as-a-Judge

An LLM judge writes a verdict. Jev returns a probability. We graded the same labeled answers and expert-rated summaries with both, and the difference decides which one you should use for a given rubric. Jev matched the LLM judge on agreement at a fifth of the cost and a tenth of the latency, and its probabilities meant what they said. The LLM judge won on the open rubric.

September 21, 2026

What Is Jev? TypeSafe's Decision Model Explained for Developers

Jev reads text and returns typed answers with probabilities instead of prose. Here's what that means, three live API calls, how to read the numbers, and how to call it with an OpenRouter key.

September 21, 2026

Jev vs LLM: When to Use a Decision Model Instead of Generating Text

Jev returns typed judgments with probabilities. An LLM returns prose. We benchmarked both on 100 support cases through OpenRouter, then wired them together so Jev routes and the LLM writes.

September 19, 2026

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Is Kimi K3 Open Source? Weights, License, and How to Call It

OpenRouter is Joining Stripe

Ori Eval: Find the Best Model for What You're Building

Surpassing Frontier Performance with Fusion

Best Embedding Models in 2026

How to Use Jev: Moderation with the Jev API in TypeScript

Batch API: half-price inference by bundling requests

Is Jev as Accurate as Frontier Models at Classification?

What Is Nemotron 3.5 Lightning

Two Hours of Work That Takes a Week

Jev vs LLM-as-a-Judge

What Is Jev? TypeSafe's Decision Model Explained for Developers

Jev vs LLM: When to Use a Decision Model Instead of Generating Text