virtuoso-large
Virtuoso‑Large is Arcee's top‑tier general‑purpose LLM at 72 B parameters, tuned to tackle cross‑domain reasoning, creative writing and enterprise QA. Unlike many 70 B peers, it retains the 128 k context inherited from Qwen 2.5, letting it ingest books, codebases or financial filings wholesale. Training blended DeepSeek R1 distillation, multi‑epoch supervised fine‑tuning and a final DPO/RLHF alignment stage, yielding strong performance on BIG‑Bench‑Hard, GSM‑8K and long‑context Needle‑In‑Haystack tests. Enterprises use Virtuoso‑Large as the "fallback" brain in Conductor pipelines when other SLMs flag low confidence. Despite its size, aggressive KV‑cache optimizations keep first‑token latency in the low‑second range on 8× H100 nodes, making it a practical production‑grade powerhouse.
Access virtuoso-large through LangDB AI Gateway
Integrate with arcee-ai's virtuoso-large and 250+ other models through a unified API. Monitor usage, control costs, and enhance security.
Free tier available • No credit card required
Discover shared experiences
Shared threads will appear here, showcasing real-world applications and insights from the community. Check back soon for updates!
deepseek-chat-v3-0324deepseekDeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. It succeeds the [DeepSeek V3](/deepseek/deepseek-chat-v3) model and performs really well on a variety of tasks.Input:$0.25 / 1M tokensOutput:$0.85 / 1M tokensContext:163840 tokenstexttext- deepseek-chatdeepseekDeepSeek-Chat is an advanced conversational AI model designed to provide intelligentInput:$0.14 / 1M tokensOutput:$0.28 / 1M tokensContext:64K tokenstoolstexttext
- deepseek-r1-0528deepseekMay 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass. Fully open-source model.Input:$0.27 / 1M tokensOutput:$0.27 / 1M tokensContext:163840 tokenstexttext
glm-4.5z-aiGLM-4.5 is our latest flagship foundation model, purpose-built for agent-based applications. It leverages a Mixture-of-Experts (MoE) architecture and supports a context length of up to 128k tokens. GLM-4.5 delivers significantly enhanced capabilities in reasoning, code generation, and agent alignment. It supports a hybrid inference mode with two options, a "thinking mode" designed for complex reasoning and tool use, and a "non-thinking mode" optimized for instant responses. Users can control the reasoning behaviour with the `reasoning` `enabled` boolean. [Learn more in our docs](https://openrouter.ai/docs/use-cases/reasoning-tokens#enable-reasoning-with-default-config)Input:$0.2 / 1M tokensOutput:$0.2 / 1M tokensContext:131072 tokenstoolstexttext- deepseek-r1deepseekDeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass. Fully open-source model & [technical report](https://api-docs.deepseek.com/news/news250120). MIT licensed: Distill & commercialize freely!Input:$0.4 / 1M tokensOutput:$2 / 1M tokensContext:163840 tokenstexttext
gpt-4.1-miniopenaiGPT-4.1 mini provides a balance between intelligence, speed, and cost that makes it an attractive model for many use cases.Input:$0.4 / 1M tokensOutput:$1.6 / 1M tokensContext:1047576 tokenstoolstextimagetext- gpt-4.1openaiGPT-4.1 is OpenAI's flagship model for complex tasks. It is well suited for problem solving across domains.Input:$2 / 1M tokensOutput:$8 / 1M tokensContext:1047576 tokenstoolstextimagetext
claude-3.7-sonnetanthropicIntelligent model, with visible step‑by‑step reasoningInput:$3 / 1M tokensOutput:$15 / 1M tokensContext:200K tokenstoolstexttextimage- Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following, logical reasoning, math, code, and tool usage. The model supports a native 262K context length and does not implement "thinking mode" (<think> blocks). Compared to its base variant, this version delivers significant gains in knowledge coverage, long-context reasoning, coding benchmarks, and alignment with open-ended tasks. It is particularly strong on multilingual understanding, math reasoning (e.g., AIME, HMMT), and alignment evaluations like Arena-Hard and WritingBench.Input:$0.12 / 1M tokensOutput:$0.12 / 1M tokensContext:262144 tokenstexttext
- gpt-4.1-nanoopenaiGPT-4.1 nano is the fastest, most cost-effective GPT-4.1 model.Input:$0.1 / 1M tokensOutput:$0.4 / 1M tokensContext:1047576 tokenstoolstextimagetext