Model database

Anthropic

Claude Opus 5.5 is Anthropic's September 22, 2026 Opus-class model for long-running agentic coding and knowledge work, and the first model in the Claude 5.5 family. The Claude API ID is claude-opus-5-5, with a 1M-token context window, 128K synchronous max output, adaptive thinking that cannot be disabled, and default effort medium. Anthropic prices it at $4 input and $20 output per million tokens and says typical workloads cost about 40% less to run than Opus 5.

Alibaba Qwen

Qwen3.8-Max is Alibaba Qwen's hosted 2.4-trillion-parameter mixture-of-experts flagship for coding, professional work, multimodal analysis, and long-horizon agents. Effective September 5, 2026 (UTC+8), the qwen3.8-max endpoint automatically serves the September 2 snapshot qwen3.8-max-0902 (alias qwen3.8-max-2026-09-02). QwenCloud says 0902 improves coding depth, multi-tool agent delivery, and visual understanding while keeping the 1M context, thinking mode, tools, and unchanged billing.

DeepSeek

DeepSeek-V4.1-Flash is DeepSeek's September 10, 2026 multimodal Mixture-of-Experts model and the smallest member of its new architecture family. The live API ID is deepseek-flash. Official materials describe a 552B-parameter Causal Encoder–Decoder MoE that activates 8B parameters on input and 16B on output, native image-and-text understanding, and a 1-million-token context. DeepSeek says V4.1-Flash outperforms DeepSeek-V4-Pro on performance, cost, speed, and total runtime. Weights are on Hugging Face under MIT.

OpenAI

GPT-Image-2.5 Sunburst is OpenAI's September 8, 2026 most capable image generation and editing model. The API ID is gpt-image-2.5-sunburst, with dated snapshot gpt-image-2.5-sunburst-2026-09-08. It takes text and image input and outputs images. OpenAI positions it for workflows where editing precision matters most, with quality settings low, medium, high, xhigh, max, and auto. Call it on the Images API or as the model of the Responses API image generation tool.

Meta

Muse Spark 1.3 is Meta's September 2, 2026 hosted model for long-horizon agentic and coding work. The API ID is muse-spark-1.3, with a 1,048,576-token context window, text/image/video/PDF input, and text output. Meta documents it in Muse Code and Meta Model API, with reasoning effort including max on the Standard tier. Official docs still list muse-spark-1.2 as the Muse Code default while recommending 1.3 for new API work.

Anthropic

Claude Fable 5.1 is Anthropic's September 1, 2026 generally available flagship for demanding reasoning and long-horizon agentic coding, research, and document work. The API ID is claude-fable-5-1, with a 1M-token context window, 128K max output, adaptive thinking, and default high effort. Anthropic keeps the $10/$50 input/output list price of Fable 5 while cutting cache reads to $0.25 per million tokens.

OpenAI

GPT-6 Astra is OpenAI's September 2026 flagship for the hardest end-to-end reasoning, coding, computer use, research, and document work. The API model ID is gpt-6-astra, with a 1,050,000-token context window, 128,000 max output tokens, text and image input, and reasoning.effort from low through max. OpenAI's safety overview (September 3, 2026) states Astra is the first broadly deployed OpenAI model to reach the Critical cybersecurity capability level under the Preparedness Framework.

Alibaba Qwen

Qwen3.8-27B is Qwen's deployment-oriented dense multimodal model for coding, professional work, research, and long-horizon agents. The official repository documents 27B parameters, native image and video understanding, flexible reasoning effort, a 262,144-token native context extensible to 1M, and compatibility with Transformers, vLLM, SGLang, and TokenSpeed.

SpaceXAI

Grok 4.6 is SpaceXAI's frontier model for coding, long-running agents, knowledge work, and interactive visual projects. Official documentation lists text and image input, text output, a 500,000-token context window, configurable low through xhigh reasoning, function calling, web and X search, code execution, and the API model ID grok-4.6.

Meta

Muse Glimmer 30B is Meta Superintelligence Labs' open-weight multimodal model for local agents, coding, tool use, long-horizon reasoning, and image understanding. Meta's model card documents a dense 29.6B-parameter architecture with a dedicated perception encoder, 131,072+ context, text-and-image input, text output, controllable reasoning effort, and Apache 2.0 weights.

Anthropic

Claude Sonnet 5.5 is Anthropic's September 28, 2026 Sonnet model, documented as a clear upgrade over Claude Sonnet 5 that runs more than 30% faster and costs up to 30% less for most work. The Claude API ID is claude-sonnet-5-5. It has a 1M-token context window, 128K synchronous max output, text and image input, text output, adaptive thinking, and default effort high. Standard price is $2 input and $10 output per million tokens.

Google

Gemini 3.8 Live is Google's September 15, 2026 default Live API model for low-latency voice agents and real-time dialogue. The stable model code is gemini-3.8-live. It takes text, images, audio, and video, and returns text and audio, with a 131,072-token input limit and 65,536-token output limit. Google positions it for scale and cost efficiency: interleaved reasoning, asynchronous function calling, 97-language mid-conversation switching, and visual grounding while the session keeps talking. Audio sessions are listed at $0.005 per minute input and $0.018 per minute output on the developer Live post.

Google

Gemini 3.8 Live Extended Thinking is Google's September 15, 2026 high-reasoning Live API model for complex multi-step work during a live voice session. The stable model code is gemini-3.8-live-extended-thinking. Same 131,072 / 65,536 token limits and text/image/audio/video in, text and audio out as Gemini 3.8 Live. It runs background reasoning and asynchronous tool calls while streaming audio. Google cites #1 on Artificial Analysis Speech-to-Speech Quality Index (82.6), 68.6% on τ-Voice, 35.1% on Sierra τ-Voice-banking, and 97.7% on Big Bench Audio. Same listed audio session rates as 3.8 Live.

OpenAI

GPT-Live-1 is OpenAI's full-duplex voice model for real-time spoken conversation. The API ID is gpt-live-1. It listens and speaks at the same time, handles interruptions, and delegates reasoning and tool use to a backend agent instead of doing that work itself. OpenAI's system card (July 8, 2026) introduced it as the paid ChatGPT voice default. The API launch post (September 10, 2026) documents Live sessions, native ASR transcripts and response text, keyword biasing, and turn detection. Voice sessions are billed $0.05 per minute, per second. Backend model and tool usage is billed separately.

OpenAI

GPT-Image-2.5 Flare is OpenAI's September 8, 2026 fastest GPT Image 2.5 model for high-quality everyday generation. The API ID is gpt-image-2.5-flare, with dated snapshot gpt-image-2.5-flare-2026-09-08. It accepts text and image input, outputs images, and supports the same quality ladder as Sunburst: low, medium, high, xhigh, max, and auto. Use it on the Images API or the Responses API image generation tool when latency matters more than Sunburst's editing-precision positioning.

Google

Gemini 3.8 Flash is Google's September 2, 2026 workhorse for software engineering, agentic tasks, and multi-step reasoning at Flash speed. The DeepMind model card documents text, image, audio, and video input, a 1M-token context window, 64K output, and adjustable effort levels. Google keeps the same introductory price as 3.7 Flash: $0.75 input and $3.75 output per million tokens through December 31, 2026.

Z.ai

GLM-5.3-Flash is Z.ai's first natively multimodal GLM-5 model: a 320B-parameter mixture-of-experts checkpoint with 18B active parameters, hybrid sparse and linear attention, and MIT-licensed weights. Z.ai documents API access as glm-5.3-flash, Coding Plan and ZCode availability, and Hugging Face weights for SGLang, vLLM, and TokenSpeed.

Moonshot AI

Kimi K3 is Moonshot AI's July 2026 multimodal model for long-horizon coding, reasoning, and knowledge work. Official Kimi materials document native vision, a one-million-token context window, thinking-only API behavior, and access through Kimi, Kimi Work, Kimi Code, and the Kimi API.

Sarvam AI

Sarvam 105B is Sarvam AI's flagship 105B+ parameter Mixture-of-Experts reasoning model for Indian-language and English chat, complex reasoning, coding, long-context document analysis, and agentic tool-use workflows. Sarvam documents it as a 128K-context OpenAI-compatible chat model with Multi-head Latent Attention, 12T tokens of pre-training data, Apache 2.0 open weights, and production use powering Indus. Its strongest fit is Indian-language enterprise assistants, multilingual reasoning, and agent workflows where native script, romanized, and code-mixed inputs matter.

OpenAI

GPT-5.6-Cyber is OpenAI's cybersecurity-specific model announced August 10, 2026 for Daybreak Red. Built on GPT-5.6 Sol, it is trained to improve specialized cyber tasks for trusted, authorized defenders—such as vulnerability research and exploit-chain development in approved environments—and to reduce refusals on certain higher-risk dual-use security prompts that general Sol still blocks.

Sarvam AI

Sarvam 30B is a 30B parameter Mixture-of-Experts chat and reasoning model from Sarvam AI, optimized for Indian languages, real-time conversation, high-throughput voice-agent pipelines, coding, and practical deployment. Sarvam documents 2.4B active parameters per token, 16T tokens of pre-training data, a 64K context window, Grouped Query Attention, Apache 2.0 open weights, and OpenAI-compatible chat completions.

OpenAI

GPT-6.1 Sol is OpenAI's current Sol model, positioned as near-Astra performance for complex work at a lower cost than Astra. The API ID is gpt-6.1-sol. It accepts text and image input, returns text, and has a 1,050,000-token context window, 128,000 max output, and a knowledge cutoff of April 30, 2026. Standard price is $2 input, $0.10 cached input, $2.50 cache writes, and $10 output per million tokens.

OpenAI

GPT-6 Luna is OpenAI's September 22, 2026 efficient model for focused, high-volume tasks in the GPT-6 family. The API model ID is gpt-6-luna, with a 1,050,000-token context window, 128,000 max output tokens, text and image input, and reasoning.effort from none through max (default medium). Standard text pricing is $0.10 input and $0.50 output per million tokens.

TypeSafe AI

Jev is TypeSafe AI's first System One model, launched in early access on September 15, 2026. It is not a chatbot: you send unstructured or structured state plus typed questions and get structured answers your code can branch on. The documented model alias is jev-latest on POST https://api.typesafe.ai/v1/systemone. Question primitives are Choice (up to 255 options), Score, and Noul (yes/no probability). TypeSafe lists $0.042 per million input tokens with output tokens unmetered, and 70–500 ms end-to-end on its launch workloads. Training is Reinforcement Learning for Calibrated Decisions (RLCD).