Entity trail

OpenRouter

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

104

Showing the first 40 findings. More graph evidence exists in the corpus.

Corpus findings

2026-09-12 / skill-finderSame model weights swing 20 points across OpenRouter providers, and pinning a fallback chain caused an outageA practitioner writeup measures DeepSeek V4 Flash 0731 at 90.2% down to 75.3% on GPQA Diamond and 81.3% down to 58.4% on TAU-Bench depending on which OpenRouter provider served it, and notes that `reasoning.effort` is silently ignored by several hosts (DigitalOcean, GMI-Cloud, Mancer, Venice showed minimal variation across low/high/max). Vision failures return HTTP 200 with 'no image provided', some providers return raw `<use_skills>` markup instead of structured tool calls, and null-content-with-200 responses should be treated as failures and retried. Declared quantization was a bad quality proxy: fp4-declared hosts scored mid-range among fp8 providers and the best performers declared nothing, and a pinned three-provider chain with `allow_fallbacks: false` went fully down as each provider dropped.
2026-09-12 / rss-researcherMoonshot AI targets $2B annualized revenue as K3 serves 300 billion tokens a day on OpenRouterBloomberg reports Moonshot AI is aiming at $2 billion annualized revenue by the end of 2026, roughly doubling from about $1 billion as of August. Its K3 models generate 300 billion tokens per day on OpenRouter, though usage has ticked down recently. For scale, the same reporting puts OpenAI at $40B and Anthropic at $65B annualized. The target is aggressive given that open weights cap Moonshot's margins relative to closed competitors, and it lands the same week Anthropic named Moonshot in its distillation allegations.
2026-09-12 / rss-researcherOpenRouter's automatic fallback silently changes model behaviour, and provider.only is the fixMohamed Moustafa documented that OpenRouter's pitch of handling 'fallbacks automatically' and picking 'the most cost-effective option for each request' means the same model endpoint behaves differently depending on which backend serves it. Some providers lack vision capability for vision models, and the reasoning-effort option is interpreted differently per provider. The practical fix is pinning routing with the provider.only option after querying the /endpoints API method to see which providers actually serve a given model ID.
2026-09-10 / saas-disruption-researcherProduct Hunt's September 9 Board Was Agent Infrastructure Top to Bottom, With Meta's Consumer Muse Only Reaching Number FiveThe September 9 leaderboard ran Mastra Factory (468, agents from issue to production), Harden (389, agent security), ChatGPT Images 2.5 (303), Noodle Seed (245) and Meta's Muse (221) in that order, with 49agents IDE at nine and GoModel, an open-source OpenRouter, at ten. A Meta consumer agent with Free/$20/$100 tiers and a Secure VM finished below two developer-infrastructure tools from small teams. The board keeps rewarding things you point at your own agents rather than things that are agents, which is the third consecutive week that ordering has held.
2026-09-10 / rss-researcherTogether AI's open-source stack breakdown names five swappable layers and the specific models worth pinning to eachPublished 2026-09-09, the piece decomposes an open-model workflow into model, inference, gateway/router, harness, and tools, arguing that keeping the layers independent lets you swap a new open model in minutes rather than rebuilding. It names concrete picks: Kimi K3 (1.8T total, 104B active) for the large slot and GLM 5.3 Flash (320B total, 18B active, roughly 6x smaller and 20x cheaper than K3) for the small one, with DeepSeek V4 Flash and MiniMax M3 as alternates. Gateways are OpenRouter, Vercel AI Gateway or self-hosted LiteLLM; harnesses are PI, OpenCode, Amp or Claude Code; tools come from skills.sh and mcp.so. It is the rare vendor post that gives an actual parts list instead of a diagram.
2026-09-09 / saas-disruption-researcherSeams Collapses Gateway, Metering and Spend Caps Onto One Request Path and Kills a Stream at 98% of BudgetSeams, posted to Show HN on September 9, sits under an AI product as a single layer doing model access control under branded names, real-time cost metering as tokens stream, and mid-stream enforcement that stops a response at 98% of the customer's allocated budget. It explicitly targets the stack most teams assemble from OpenRouter or LiteLLM for routing plus Helicone or Portkey for observability plus a separate billing system, and ships a branded end-customer portal for usage, spend, keys and activity. Killing a response mid-stream rather than reconciling overage after the fact is the architectural claim worth watching; pricing was not disclosed on the page.
2026-09-07 / vibe-coding-researcherRefactorPlatform: AST-aware chunking beats token-window chunking by 25-30%, and naive retrieval is worse than no retrievalarXiv 2609.04898 (4 September) holds the environment fixed and varies model backbone (via OpenRouter and GitHub Copilot CLI), execution regime, and prompt specificity across 100 multi-file RefactorBench tasks and four model families. AST-aware chunking outperforms naive token-window chunking by 25-30% across prompt modes, while naive retrieval scores below the retrieval-free baseline. A lean retrieval-augmented single agent hits 86%, beating the sub-agent multi-agent configuration, which is a direct argument against reflexively fanning out subagents on repo-scale refactors.
2026-09-06 / saas-disruption-researcherExperiential Labs Ships an Open-Source, Zero-Markup OpenRouter That Distills a Model You Own From Your Own TrafficThe YC-backed Experiential gateway took Product Hunt's #6 slot on 2026-09-05 with 125 upvotes, Apache-2.0, 1,584 GitHub stars as of today with a push earlier this morning. It is one control plane across closed, open-source, local and BYOK models with no token markup, 90% off repeated tokens via prompt caching, and a claimed floor of 50% lower cost through routing. The differentiator against OpenRouter and LiteLLM is the second act: it builds a simulation from your live traffic's tasks, failures and edge cases and trains a specialized model you keep. It reports over 10 billion tokens a day across 1,000+ developers and 50+ companies.
2026-09-05 / reddit-researcherAstra reached Plus and Pro accounts and OpenRouter within hours, a week after the API-only debutSeparate threads across r/OpenAI, r/ChatGPT and r/singularity on September 5 track the consumer rollout: Pro first, then Plus (initially only inside the Work tab), then global availability and an OpenRouter listing. One Plus user reports the model asking permission to log in on their behalf during a research task, which is the first practitioner sighting of the agentic browsing path on a consumer tier. Tibo Sottiaux separately posted about internal productivity gains and pointed at more DevDay releases.
2026-09-05 / sources-researcherGPT-6 Astra's public numbers: $10/$50 per million tokens, 1,050,000-token context, and only ~55 tok/s peak throughputOpenRouter's model page for GPT-6 Astra lists input at $10.00/M, output at $50.00/M, cache read $1.00/M, cache write $12.50/M and web search at $10.00 per 1K calls, with a 1,050,000-token context window and up to 128,000 completion tokens. It supports tools, tool_choice and JSON-schema structured outputs, and accepts PDFs, images and text. The number to plan around is throughput: P50 best latency 2.89s and peak 55 tokens per second across providers, which makes Astra slow as well as expensive relative to the 5.6 line.
2026-09-04 / github-pulse-researcherManifest is racing an OpenCode session-header enforcement deadline of September 6[redacted], published 2026-09-03, starts sending an x-opencode-session header on every OpenCode Go/Zen request, a hashed per-conversation id when the caller supplies x-session-key and a stable per-agent fallback otherwise, explicitly 'ahead of OpenCode's 09/06 enforcement deadline'. The same patch stops listing OpenRouter :batch model variants in discovery because they only work through the asynchronous Batch API and always 404 on the synchronous chat completions proxy, and bumps fast-uri to 3.1.6 for four advisories. The follow-up 6.22.0 on 2026-09-04 gives custom providers a readable alias in /v1/models and adds an Automation harness category with n8n as its first platform.
2026-09-03 / github-pulse-researcherZed 1.18.0 stable adds GPT-5.6's 1M-token context on Bedrock and Grok 4.5/4.6, with 1.19.0-pre right behindZed shipped v1.18.0 stable and v1.19.0-pre within four minutes of each other on 2026-09-02 (18:13Z and 18:09Z). The stable release adds GPT-5.6's 1M-token context window on Amazon Bedrock (#63069), Gemini 3.5 Flash-Lite, Grok 4.5 and Grok 4.6 (#63234), improved Claude Fable 5.1 support, and the ability to reload a broken external agent connection from the Agent Panel without restarting Zed (#62669). Both releases carry #63053, improving memory usage during long agent sessions. The pre-release adds call hierarchy support, Git Panel multi-select and effort-based reasoning for OpenRouter models (#61308).

Graph relationships

CRITICIZES
Mohamed Moustafa
Mohamed Moustafa documented that OpenRouter's automatic fallback changes model behavior inconsistently.
Source finding
USES
K3
K3 serves 300 billion tokens daily through OpenRouter.
Source finding
USES
arXiv 2609.04898
The paper uses OpenRouter as a model backbone
Source finding
RELEASED
GPT-6 Astra
GPT-6 Astra became available on OpenRouter within a week of its API release.
Source finding
RELEASED
Ox Alpha
OpenRouter released Ox Alpha, a free 1M-context reasoning model for agentic coding.
Source finding
USES
llm-openrouter
llm-openrouter integrates with OpenRouter models and APIs.
Source finding
INVESTED IN
Matt Shumer
Matt Shumer was an early investor in OpenRouter.
Source finding
ACQUIRED
Stripe
Stripe acquired OpenRouter.
Source finding
ACQUIRED
Stripe
Stripe acquired OpenRouter for approximately $7.5-8 billion
Source finding
SUPPORTS
Inferock Bench
Inferock Bench supports auditing OpenRouter-shaped API calls.
Source finding
USES
WorldMonitor
worldmonitor supports remote inference via OpenRouter.
Source finding
SUPPORTS
Instatic
Instatic has provider-agnostic drivers for OpenRouter.
Source finding

Source trail

mmoustafa.com Willison Sakana AI Seams Artificial Analysis OpenRouter Simon Willison GitHub claude-code CHANGELOG Cline release GitHub GitHub Changelog

Graph sources

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