Qwen3 Coder Next
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qwen3-coder-next
Open-weight coding specialist for CI, scrapers, CMS integrations, and internal bots.
Compare flagship and efficient AI models for journalism — context windows, indicative token pricing, and newsroom workflow tags. Sources refresh from OpenRouter and Groq.
Showing 21 of 50 in this view
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qwen3-coder-next
Open-weight coding specialist for CI, scrapers, CMS integrations, and internal bots.
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gpt-5-chat
Low-latency conversational UX — alerts, briefs, and interactive assistants.
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muse-spark-1.1
Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with a 1M-token context... Modality: text+image+file+audio+video->text. Inputs: text, image, video, file, audio. Outputs: text
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claude-opus-5
Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis... Modality: text+image+file->text. Inputs: text, image, file. Outputs: text
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whisper-large-v3
Whisper Large v3 is OpenAI's most advanced and capable speech recognition model, delivering state-of-the-art accuracy across a wide range of audio conditions and languages. This flagship model excels at handling challenging audio scenarios including background noise, accents, and technical terminology.
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openai/gpt-oss-120b
Highest intelligence on Groq — complex analysis with very fast tokens/sec.
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openai/gpt-oss-20b
Fastest throughput for lightweight drafting and realtime tools.
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llama-3.1-8b-instant
Cheapest Groq tier — triage, language detection, simple formatting.
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llama-3.3-70b-versatile
General-purpose Groq default when you want open-model economics.
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whisper-large-v3-turbo
Fast multilingual speech-to-text on Groq — interviews, briefings, and rough-cut transcripts at low cost per audio hour.
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lightonai/LightOnOCR-2-1B
LightOnOCR-2 is an efficient end-to-end 1B-parameter vision-language model for converting documents (PDFs, scans, images) into clean, naturally ordered text without relying on brittle pipelines.
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gemma-3-27b-it
Open-weight Google model for self-hosted or budget-conscious pipelines and tooling.
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flux.2-klein-4b
Fastest, most cost-effective FLUX.2 tier — high-throughput thumbnails, social crops, and batch image generation.
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kimi-k2.5
Agentic coding and large-repo work — strong for newsroom engineering and data tooling.
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gpt-oss-120b
Open-weight workhorse when you self-host or run on fast inference (e.g. Groq).
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gpt-5.6
Reasoning model for higher-quality responses on complex tasks.
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claude-fable-5
Claude Fable 5 is state-of-the-art on nearly all tested benchmarks of AI capability, showing exceptional performance in software engineering, knowledge work, vision, scientific research, and many other areas. The longer and more complex the task, the larger Fable 5’s lead over our other models. Modality: text+image+file->text. Inputs: text, image, file. Outputs: text
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claude-sonnet-5
Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels. Modality: text+image+file->text. Inputs: text, image, file. Outputs: text
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mistral-ocr-latest
Mistral OCR 4 is a document-intelligence model that turns PDFs and other files into structured, richly annotated content instead of plain text. It extracts text with bounding boxes, block types, and confidence scores, enabling better RAG chunking, agentic workflows (like form filling or invoice processing), and robust ingestion/search pipelines across 170 languages.
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meta-llama/llama-4-scout-17b-16e-instruct
Groq-hosted Llama 4 Scout instruct: OCR, charts, and image understanding with 10M-token context for docs and AV material.
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qwen3-32b
Reasoning + tool use at mid cost — good for structured extraction.
Showing 21 of 50 in this snapshot · 50 total in the live catalog.