Capacidade · 2026-06-29
Modelos de IA com contexto longo
Modelos com janela de contexto de 200K tokens ou mais.
O que é?
- LLMs de contexto longo aceitam 200K tokens ou mais em um único prompt — livros inteiros, repositórios multiarquivo ou horas de transcrição.
- Alguns modelos escalam para 1M, 2M ou mais tokens de contexto.
Por que importa
- Contexto longo complementa ou substitui RAG — você pode colar todo o conteúdo em vez de apenas fragmentos recuperados.
- O recall efetivo pode degradar com o comprimento, e prompts longos ficam caros a preço por milhão de tokens.
- Alguns provedores aplicam tarifas escalonadas acima de 200K — consulte a página de detalhe de cada modelo.
509 modelos com esta capacidade
Mostrando os 60 primeiros de 509. Use o diretório completo para filtrar mais.
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 atualização:
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.