OpenRouter
50 articles tagged with OpenRouter
Unbiased releases Pareto 26.9: 262K-context composite model at $2.50/$7.50 per 1M tokens
Unbiased has released Pareto 26.9, a multimodal composite model with a 262K-token context window, priced at $2.50 per 1M input tokens and $7.50 per 1M output tokens. It is listed on OpenRouter with a Oct 13, 2026 release date. A cheaper 1.0M-context preview, Pareto 26.10, is already listed alongside it.
Cline v4.1.24 defaults to Claude Sonnet 5.5 and adds Claude Haiku 5.5 to its model catalog
Cline v4.1.24 makes Claude Sonnet 5.5 the default model for the Cline and OpenRouter providers when no model is selected. The release also adds Claude Haiku 5.5 and three new providers, and fixes reasoning-off 400 errors on several models plus an auto-compaction token-count bug.
ScaleDown launches Summarize, a 1M-context abstractive summarization model at $0.04 per 1M input tokens on OpenRouter
ScaleDown has released Summarize, an abstractive summarization model with a 1M-token context window, listed on OpenRouter on October 13, 2026. OpenRouter shows $0.04 per 1M input tokens (20% off the $0.05 list price) and $0 per 1M output tokens. Parameter count and benchmark scores have not been disclosed.
Microsoft releases Decision-1, a Qwen3.5-9B-based model for classification and routing, at $0.042 per 1M input tokens
Microsoft has released Decision-1, a decision model built on Qwen3.5-9B for classification, evaluation, and routing. Microsoft claims 83.5% accuracy across 36 benchmarks and 85 ms latency. Input tokens cost $0.042 per million, and output tokens are free.
StepFun releases Step 5 Preview: 600B MoE with 1M context at $1/$2.70 per 1M tokens
StepFun has listed Step 5 Preview, a sparse Mixture-of-Experts model with 600B total and 27B active parameters and a 1.0M-token context window. It is priced at $1 input and $2.70 output per 1M tokens on OpenRouter. StepFun positions it as its flagship model for agentic work.
Google releases Nano Banana 2.1 image model: $1.50/$30 per 1M tokens, 66K context
Google's Nano Banana 2.1 (Gemini Nano Banana 2.1) is an image generation and editing model on the Flash tier, listed on OpenRouter at $1.50 input and $30 output per 1M tokens with a 66K context window. It supports 1K, 2K, and 4K output and succeeds Nano Banana 2 and Nano Banana Pro, according to the listing.
inclusionAI releases Ling 3.1 Flash: 560B MoE, 25B active, 262K context, free on OpenRouter
inclusionAI has released Ling 3.1 Flash, a hybrid reasoning mixture-of-experts model with 560B total and 25B active parameters and a 262K-token context window. It is listed as free on OpenRouter through NovitaAI. No benchmark scores have been published on the listing.
Unbiased releases Pareto 26.10 Preview: 1M context, $0.80/$3.20 per 1M tokens on OpenRouter
Unbiased has listed Pareto 26.10 Preview on OpenRouter, a multimodal composite model with a 1.0M-token context window priced at $0.80 input and $3.20 output per 1M tokens. The company says it targets research, coding, and agentic workflows, and warns the preview may change without notice. No benchmark scores have been published.
OpenAI Adds GPT-6.1 Sol Pro, a High-Reasoning Mode of GPT-6.1 Sol, at $2/$10 per 1M Tokens
OpenAI has released GPT-6.1 Sol Pro, which runs the same underlying GPT-6.1 Sol model with reasoning.mode set to 'pro' for higher-accuracy responses on complex tasks. It costs several times more per request than standard GPT-6.1 Sol and is priced at $2/$10 per 1M input/output tokens with a 1.1M token context window.
Meta Releases Muse Glimmer 30B, an Open-Weight Agentic Model for Consumer Hardware
Meta Superintelligence Labs has released Muse Glimmer 30B, a dense open-weight model distilled from its larger Muse Spark system and tuned for agentic workflows on consumer hardware. The model supports 131K context, image understanding, and over 100 languages at $0.30/$1.10 per 1M input/output tokens.
Fireworks Releases Ember-1, a Reasoning Model That Cuts Token Usage 40% Versus Its Kimi K3 Base
Fireworks Research has released Ember-1, a reasoning model built on Kimi K3 that produces shorter reasoning traces while claiming comparable output quality. The model offers a 1 million token context window at $3 per 1M input tokens and $15 per 1M output tokens.
Z.ai Releases GLM-5.3-Prime, a High-Throughput Variant of GLM-5.3 with 1M-Token Context
Z.ai has released GLM-5.3-Prime, a high-speed variant of its GLM-5.3 model that delivers 1.5-2x the output throughput through inference acceleration while retaining the full 1M-token context window. The model is priced at $2.80 per 1M input tokens and $8.80 per 1M output tokens, targeting coding and long-horizon agentic workloads.
Qwen3.8 Max Prime Launches as Premium High-Throughput SKU at $4/$12 per Million Tokens
Alibaba's Qwen team has launched Qwen3.8 Max Prime, a separate high-throughput SKU of its flagship Qwen3.8 Max model. It carries the same 1M-token context window and multimodal capabilities as the base model but at double the price.
Anonymous Stealth Model "Space Bunny Alpha" Debuts on OpenRouter With 1M-Token Context, Free During Preview
A previously unknown AI provider has released Space Bunny Alpha, a stealth model on OpenRouter offering a 1M-token context window, adjustable reasoning effort, and multimodal input support. The model is free during its preview period, though its developer remains unnamed.
Aion Labs Launches Aion 3.5 Mini, a $0.70/M-Token Roleplaying Model with 262K Context
Aion Labs has released Aion 3.5 Mini, a lower-cost version of its multi-model roleplaying system Aion 3.5. Built on the GLM model family, it offers a 262K token context window at $0.70 per 1M input tokens and $1.40 per 1M output tokens.
AionLabs Launches Aion 3.5, a Multi-Model Storytelling System Built on GLM
AionLabs has released Aion 3.5, a collaborative multi-model system for roleplaying and storytelling built on the GLM model family. It offers a 262K token context window at $3 per 1M input tokens and $6 per 1M output tokens.
Three Unverified 'GPT-6' Model Listings Appear on OpenRouter: Sol Pro, Luna, and Luna Pro
Three model pages bearing the names GPT-6 Sol Pro, GPT-6 Luna, and GPT-6 Luna Pro have surfaced on OpenRouter's site, but OpenAI has issued no official announcement confirming these as real releases. No pricing, benchmark scores, or context window figures have been disclosed.
OpenAI Lists GPT-6 Luna Pro: A High-Reasoning Mode for Its Budget GPT-6 Model, Not a New Checkpoint
GPT-6 Luna Pro, listed on OpenRouter with a Sep 22, 2026 release date, is not a distinct model but GPT-6 Luna run with reasoning.mode set to 'pro' for higher-quality outputs on complex tasks. It carries a 1.1M token context window and costs $0.10 per 1M input tokens and $0.50 per 1M output tokens under standard routing.
OpenAI Launches GPT-6 Sol Pro, a High-Reasoning Mode for Its Mid-Tier Model at $2/$10 per 1M Tokens
OpenAI has released GPT-6 Sol Pro, which runs the existing GPT-6 Sol model with its reasoning mode set to 'pro' for higher-quality responses on complex tasks. It carries a 1.1 million token context window and is priced at $2 per 1M input tokens and $10 per 1M output tokens.
Xiaomi Lists Three New MiMo-V2.6 Models on OpenRouter: Pro, Flash, and Pro-UltraSpeed
Xiaomi has added three new entries to its MiMo model family on OpenRouter: MiMo-V2.6-Pro, MiMo-V2.6-Flash, and MiMo-V2.6-Pro-UltraSpeed. Full specifications, pricing, and benchmark results have not yet been disclosed.
Xiaomi Launches MiMo-V2.6-Pro, a 1T+ Parameter Model with 1M-Token Context
Xiaomi has released MiMo-V2.6-Pro, a flagship foundation model exceeding 1 trillion parameters with a 1M-token context window and native multimodal support. The model is priced at $0.435 per 1M input tokens and $0.87 per 1M output tokens, targeting agentic and long-horizon tasks.
xAI Ships Grok 4.7, Cuts Price to $1.60/$4.80 per 1M Tokens With 500K Context
xAI has released Grok 4.7, the successor to Grok 4.6, listed on OpenRouter with a 500K token context window and pricing of $1.60 per 1M input tokens and $4.80 per 1M output tokens. The company claims improvements in long-running software engineering tasks, self-verification, and professional document drafting.
PrismML Releases Ternary Bonsai 2 27B, a Compressed Reasoning Model with 262K Context
PrismML has released Ternary Bonsai 2 27B, a 27B-parameter reasoning model derived from Qwen3.8-27B that uses ternary weight compression to shrink to roughly 8.5 GB. The model supports a 262K-token context window, image understanding, tool calling, and thinks by default at 'xhigh' reasoning effort.
Unbiased Launches Pareto, a $2.50/$7.50-per-Million-Token Multimodal Model for Coding and Agents
Unbiased has released Pareto, a multimodal composite model aimed at research, coding, and agentic workflows. The model offers a 262K context window and is priced at $2.50 per million input tokens and $7.50 per million output tokens via OpenRouter.
Anonymous Provider Launches Union Alpha, a Free 262K-Context Multimodal Model on OpenRouter
A third-party provider using the alias 'Stealth' has released Union Alpha on OpenRouter, a multimodal model with a 262K context window, currently free to use during its preview period. The model's developer remains anonymous, and OpenRouter states it is not the model's owner or operator.
OpenRouter Adds 'DeepSeek Pro Latest' Alias With 1M-Token Context Window
OpenRouter has introduced DeepSeek: DeepSeek Pro Latest, a routing alias that automatically points to whichever DeepSeek Pro model is newest. The endpoint offers a 1,049K token context window at $0.58 per 1M input tokens and $1.74 per 1M output tokens.
OpenRouter Adds DeepSeek Flash Latest Alias With 1M-Token Context Window
OpenRouter has launched deepseek-flash-latest, a persistent endpoint that always points to the current DeepSeek Flash model. It offers a 1,049K token context window, text-and-image input, and pricing of $0.15 per 1M input tokens and $0.60 per 1M output tokens.
Inference.net Launches Schematron V2 Turbo, a 3B-Parameter Model for High-Volume HTML-to-JSON Extraction
Inference.net has released Schematron V2 Turbo, a 3-billion-parameter model built specifically for high-volume HTML-to-JSON extraction. The model supports a 128K context window and is priced at $0.03 per 1M input tokens and $0.15 per 1M output tokens.
Inference.net Releases Schematron V2 Small, a 3B-Parameter Model for HTML-to-JSON Extraction
Inference.net has released Schematron V2 Small, a 3B-parameter model specialized in converting HTML pages into structured JSON output. The model supports a 128K context window and requires extraction schemas to be passed via response_format rather than standard prompts.
Three Unlisted Model Codenames — 'GPT Terra', 'GPT Sol', 'GPT Astra' — Surface on OpenRouter, Not Confirmed by OpenAI
Three model identifiers — gpt-terra-latest, gpt-sol-latest, and gpt-astra-latest — appeared as OpenRouter listing pages under an '~openai' namespace, but no official OpenAI announcement, specs, or pricing accompany them. The listings' authenticity and meaning remain unverified.
Unverified 'GPT Astra' Model Appears on OpenRouter With 1.05M Token Context, No OpenAI Confirmation
OpenRouter is listing a model called 'OpenAI GPT Astra Latest' with a 1.05 million token context window and $10/$50 per-million-token pricing. OpenAI has made no public announcement, and the listing's own description says it is an auto-redirecting alias rather than a fixed model.
OpenRouter Lists 'GPT Sol Latest' — An Alias Pointer to OpenAI's Newest Sol-Family Model, Not a Standalone Release
OpenRouter has added a listing called '~openai/gpt-sol-latest,' described as an alias that always points to the newest model in an undisclosed 'GPT Sol' family from OpenAI. The listing shows a 1050K token context window and pricing of $2.00 per million input tokens and $10.00 per million output tokens, but OpenAI has not publicly confirmed a model line by this name.
Unverified 'GPT Terra' Model Surfaces on OpenRouter With 1.05M-Token Context, No OpenAI Confirmation
OpenRouter's catalog lists '~openai/gpt-terra-latest,' an alias pointing to what it describes as the newest model in an unannounced 'GPT Terra' family, with a 1.05 million token context window and $2/$12 per-million-token pricing. OpenAI has made no public statement confirming the model's existence.
InclusionAI Releases Ling 3.0 Flash VL, Adding Vision to Its 124B MoE Model
InclusionAI has released Ling 3.0 Flash VL, a vision-language extension of its 124B total-parameter, 5.5B active Mixture-of-Experts model. The model adds native image and video understanding, supports a 131K token context window, and is priced at $0.06 per 1M input tokens and $0.18 per 1M output tokens via OpenRouter.
Sakana AI Launches Fugu Ultra v2, a Multi-Agent Orchestrator With 1M-Token Context
Sakana AI has released Fugu Ultra v2, described as a learned multi-agent orchestration system rather than a single monolithic model. It offers a 1M-token context window, configurable reasoning effort, and pricing of $5 per 1M input tokens and $30 per 1M output tokens.
Sakana AI Launches Fugu Max, a Multi-Agent Orchestration Model at $2/$6 per Million Tokens
Sakana AI has released Fugu Max, the cost-performance tier of its Fugu family, which uses a trained language model to route tasks across a pool of open-weights and specialized models rather than functioning as a single monolithic network. The model offers a 1 million token context window at a flat $2 input / $6 output per million tokens.
OpenAI Lists GPT-6 Astra Pro on OpenRouter: Same Model, Higher-Compute Reasoning Mode
GPT-6 Astra Pro, now listed on OpenRouter, is the existing GPT-6 Astra model configured to run with reasoning.mode set to 'pro' for higher-quality output on complex tasks. It carries a 1M-token context window and tiered pricing from $5/$25 to $20/$100 per million input/output tokens depending on the serving tier.
InclusionAI Releases Ling 3.0 Flash Fin, a Finance-Focused MoE Model with 5.1B Active Parameters
InclusionAI has released Ling 3.0 Flash Fin, a finance-specialized mixture-of-experts model built on Ling 3.0 Flash. The model activates 5.1B of its 124B total parameters and targets long-horizon investment planning tasks while retaining general reasoning, coding, and math capabilities.
Meta Releases Muse Spark 1.3 Contributor, a Low-Cost Multimodal Reasoning Model With 1M Context Window
Meta has released Muse Spark 1.3 Contributor, described as the cost-efficient contributor tier of its multimodal reasoning model line. The model offers a 1 million token context window at $0.10 per 1M input tokens and $0.20 per 1M output tokens, targeting experimentation and early-stage agentic workflows.
Meta Releases Muse Spark 1.3, a Free Multimodal Reasoning Model with 1M-Token Context
Meta has released Muse Spark 1.3, a multimodal reasoning model with a 1M-token context window, listed as free on OpenRouter. The model targets long-running agentic, multi-agent, and coding workflows, though audio input support remains incomplete.
Google Lists Gemini 3.8 Flash on OpenRouter With 1M-Token Context, September 2026 Release Date
Google's Gemini 3.8 Flash has surfaced on OpenRouter with a 1-million-token context window and discounted pricing of $0.75 per 1M input tokens and $3.75 per 1M output tokens. Google has not issued a separate public announcement, and the listed release date of September 2, 2026 is unusually far out, leaving key details unconfirmed.
OpenRouter Adds Auto-Updating Alias for Zhipu AI's GLM Flash Model Family
Z.ai has published GLM Flash Latest on OpenRouter, a routing alias that automatically points to the newest checkpoint in the GLM Flash lineup. It supports a 1.31M token context window and multimodal text, image, and video input at $0.07 per 1M input tokens and $0.25 per 1M output tokens.
Inception Launches Mercury 2.5 Preview, a Diffusion LLM Claiming 1,107 Tokens/Sec
Inception released Mercury 2.5 Preview, a diffusion-based language model that generates tokens in parallel rather than sequentially, claiming throughput of 1,107 tokens per second on standard GPUs. The model is available on OpenRouter with a 260K context window and an 80% launch discount through September 8, 2026.
Tencent Releases Hy4 Preview: 770B-Parameter MoE Model with 1M Context for Coding Agents
Tencent has released Hy4 preview, a mixture-of-experts model with 770B total parameters and 49B active parameters, targeting coding agents and multi-step tool-use workflows. The model ships with a 1 million token context window and is priced at $0.834 per 1M input tokens and $2.501 per 1M output tokens.
Alibaba Releases Qwen3.8 Flash, a Multimodal Reasoning Model with 1M-Token Context
Alibaba has released Qwen3.8 Flash, a multimodal reasoning model with a 1 million token context window, aimed at coding, agentic workflows, and visual/document analysis. It's priced at $0.16 per 1M input tokens and $0.47 per 1M output tokens through Alibaba Cloud International.
Z.ai Confirmed as Creator of Chart-Topping 'Ox Alpha' Model, Weights Coming Wednesday
Z.ai, maker of the GLM model series, has confirmed it is behind Ox Alpha, the mysterious open-weight model that appeared anonymously on OpenRouter and topped benchmark leaderboards. The company will release the model's weights on Wednesday.
Z.ai Launches GLM-5.3-Flash With 1M-Token Context and Hybrid Attention Architecture
Z.ai has released GLM-5.3-Flash, a native multimodal model built for coding and long-horizon agent tasks, featuring a 1M-token context window and a hybrid sparse-linear attention architecture. The model is available via OpenRouter at a discounted $0.075/$0.25 per 1M tokens through September 2026.
Mystery 'Stealth Model' Ox Alpha Appears on OpenRouter, Sparking Speculation Over Its Creator
A new AI model called Ox Alpha appeared on OpenRouter this week, listed only as being built by an anonymous third-party provider. Speculation about its creator has ranged from Z.ai's GLM models to an unreleased version of Microsoft's MAI, with no confirmation yet.
Meta Launches Low-Cost 'Contributor' Tier of Muse Spark 1.2 Reasoning Model
Meta has introduced a discounted 'Contributor' tier of its Muse Spark 1.2 reasoning model, priced at $0.10 per 1M input tokens and $0.20 per 1M output tokens. The lower cost comes with a tradeoff: prompts and outputs may be used to improve Meta's products.
DeepSeek Releases V4 Flash Vision Exp, an Experimental Multimodal MoE Model with 1M Context
DeepSeek has released V4 Flash Vision Exp, an experimental vision-enabled variant of DeepSeek V4 Flash 0731 that adds image understanding while matching the base model's text performance. The sparse mixture-of-experts model uses 13B active parameters out of 284B total and supports a 1M token context window.