Capacidad · 2026-06-29
Modelos de IA con contexto largo
Modelos con ventana de contexto de 200K tokens o más.
¿Qué es esto?
- Los LLMs de contexto largo aceptan 200K tokens o más en un solo prompt — libros enteros, repositorios multifichero o horas de transcripción.
- Algunos modelos escalan a 1M, 2M o más tokens de contexto.
Por qué importa
- El contexto largo complementa o sustituye a RAG — puedes pegar todo el contenido en vez de solo fragmentos recuperados.
- El recall efectivo puede degradarse con la longitud, y los prompts largos se encarecen a precio por millón de tokens.
- Algunos proveedores aplican tarifas escalonadas por encima de 200K — consulta la página de detalle de cada modelo.
509 modelos con esta capacidad
Mostrando los 60 primeros de 509. Usa el directorio completo para filtrar más.
Frequently asked questions
How many AI models support contexto 200K+?
509 canonical models in our database currently support contexto 200K+. The list is regenerated on every data refresh, so it always reflects the latest releases tracked in our catalogue.
What is the cheapest model with contexto 200K+?
Ling-2.6-flash from openrouter is currently the lowest-priced option, at $0.010 per 1M input tokens and $0.030 per 1M output tokens. The full table above is sorted price-ascending.
Which model with contexto 200K+ has the largest context window?
Qwen Long (Alibaba (Qwen)) leads on context at 10M tokens. This may matter if you also need long-document understanding alongside contexto 200K+.
Which models are available on the most providers?
Production-readiness usually correlates with how many independent providers host the same weights. The top three by provider count are: Kimi K2.6 (49), Kimi K2.5 (48), GLM-5.1 (47).
How is contexto 200K+ different from a regular LLM?
Long-context models accept ≥ 200K input tokens — enough for entire books, codebases or hours of transcripts in one prompt. Effective recall and per-token pricing both degrade with input length, so 'big context' is not always the right choice over RAG.
How often is this list updated?
Daily. Our data pipeline syncs once a day, regenerates the canonical model list, and rebuilds these pages so newly released models appear within 24 hours.
Explore more
Top models with this capability
- Ling-2.6-flash$0.01 in / $0.03 out
- Google Gemma 3 27B Instruct$0.03 in / $0.11 out
- Qwen3 235B A22B 2507$0.07 in / $0.10 out
- Qwen3.5 9B$0.04 in / $0.15 out
- Qwen3 235B A22B Instruct 2507$0.10 in / $0.10 out
Other capabilities
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Pricing comparisons
Vendors in this list
Última actualización:
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.