OpenRouter

Pointing OpenAI's Codex CLI at a third-party gateway takes one config.toml block plus two constraints that break it silently: the Responses wire protocol is now mandatory, and a project-local config is ignored for provider settings. Includes model pricing and the model_not_found fix.

OpenRouter reports Gemini 4 Argon from Google DeepMind is available through Google AI Studio and Google Cloud at introductory pricing of $2/M input and $10/M output. Cited results: 51.3% on AutomationBench, 91.7% on LVBench, and a tie for first on CWE-bench v1 at 68%.

BYOK is generally available on OpenRouter: attach your own provider keys to combine rate limits, spend existing cloud credits, and keep all model usage in one dashboard, billed at 5% of the upstream provider's cost.

OpenRouter launches US In-Region Routing alongside its EU routing: requests to region-specific endpoints are decrypted and served only by in-region providers, enforceable per-workspace via Guardrails.

OpenRouter's curated changelog for Ori, covering releases 0.1.0 to 0.10.1: a first-party agent loop, a secret-injecting vault proxy, approval-mode changes, and Ori Eval bake-offs for chat, embedding and rerank models.

OpenRouter breaks down what Zero Data Retention actually covers: provider-side storage of prompts and responses, not data in transit, your own logging, or third-party tools. Explains how to enforce ZDR routing via account settings or the provider.zdr request field.

OpenRouter walks through committing a fixed eval set, scoring it with a script, measuring noise from repeated runs, and wiring it into GitHub Actions as a required check so prompt regressions cannot merge.

Adding a gateway as a provider in the Kilo Code editor extension, and the config file that controls it: the exact nesting path for provider routing rules, sorting by price, throughput or latency, data-policy fields, and the middle-out transform for prompts past the context window.

OpenAI cut prices on GPT-5.6 Terra and Luna, and OpenRouter's 50% exclusive discount stacks on top: Luna lands at $0.1/M input and $0.6/M output, Terra at $1/M input and $6/M output, pushing Luna further onto the cost-quality frontier.

Step-by-step OpenRouter tutorial for its OpenAI-compatible text-to-speech endpoint: authentication, cURL and Python examples, streaming with the OpenAI SDK, and how to swap models/voices while handling provider-specific format defaults.

Four API-level additions on OpenRouter: GIF prompts accepted by OpenAI, Gemini, Anthropic and Llama models, provider pages in command-K search, caching for Anthropic tool calls, and an is_byok flag in usage-included responses.

Reasoning-model speed metrics on OpenRouter change definition: latency counts time to the first reasoning token and throughput includes reasoning output. A models API category filter and a request builder for generating request JSON also land.

OpenRouter launches a Batch API spanning 70+ models that bundles asynchronous requests at roughly half the standard per-token price, with a median 7-minute turnaround across 230,000+ beta batches.

Gemini joins OpenAI and Anthropic in emitting parallel tool calls through OpenRouter, OAuth PKCE integrations can pass a state parameter through callbacks, provider data-logging policies get their own docs page, and Cent ML and Enfer come online.

OpenRouter added a stateful server tool, openrouter:shell, in beta. Any model on the platform can run commands in a hosted Linux container, and a new Files API handles moving files in and out of it.

Eleven models played 30 rounds of a 2D battle royale on $482 of inference. Grok 4.1 Fast took 13 wins at $0.97 each against Claude Sonnet 4.6's five at $26.78, the model with the most kills finished second, and three models won nothing at all.

A field guide to the open-weight models that hold up in real agentic pipelines, with SWE-bench Verified scores, licenses, parameter counts, and realized per-token costs. Includes the argument that the gap to frontier labs has stayed at 3-6 months for a year and a half.

OpenRouter added audio input in wav and mp3 for models that accept it, and direct PDF URL support across every model on the platform, removing the manual base64 encoding step from document workflows.

OpenRouter launches Private Endpoints, an Enterprise add-on that routes fine-tuned models and dedicated deployments through its API, visible only to approved organizations, with BYOK billing and optional fallback to public providers.

OpenRouter identifies its two stealth models as GPT-4.1 and publishes pricing for the generally available 1M context release across the large, Mini and Nano tiers. The free alpha endpoints hard-fail with 404 instead of redirecting to a paid model.

Data residency for teams that consume models through an API is a routing decision, not a datacenter project. Walks the provider-object fields that pin geography and forbid retention or training, how to scope them to the EU, and what happens when no compliant provider can serve the call.

OpenRouter ships a crypto payments API for headless, scripted on-chain top-ups of LLM credit. The practical target is agents that fund their own inference without a person in the billing loop, with a tutorial and docs linked from the post.

OpenRouter measured Opus 4.7's new tokenizer against its own model-agnostic token count using users who switched from 4.6. Native token counts rose 32 to 45 percent depending on prompt size, while real costs rose 12 to 27 percent once caching absorbed part of the inflation.

Compares how LangChain, CrewAI, the OpenAI and Claude agent SDKs, Microsoft Agent Framework and Google ADK handle tool schemas across providers. It also covers what fails on model switches and how API-layer normalization keeps tool calls consistent.