Qwen3 235B-A22B frente a GPT-5.5: especificaciones, precios y cuál elegir (2026)
Qwen3 235B-A22B vs GPT-5.5 compared: specs, API pricing, context window, VRAM and a clear verdict on which model to choose in 2026.
DeepSeek V4-Flash frente a Gemini 3.5 Flash: especificaciones, precios y cuál elegir (2026)
DeepSeek V4-Flash vs Gemini 3.5 Flash compared: specs, API pricing, context window, VRAM and a clear verdict on which model to choose in 2026.
Qwen3 32B frente a Gemma 3 27B: especificaciones, precios y cuál elegir (2026)
Qwen3 32B vs Gemma 3 27B compared: specs, API pricing, context window, VRAM and a clear verdict on which model to choose in 2026.
Claude Opus 4.8 frente a GPT-5.5: especificaciones, precios y cuál elegir (2026)
Claude Opus 4.8 vs GPT-5.5 compared: specs, API pricing, context window, VRAM and a clear verdict on which model to choose in 2026.
Índice de relación precio-rendimiento en IA 2026: ¿qué modelo te ofrece más inteligencia por dólar?
We combined live API pricing with the Artificial Analysis Intelligence Index to rank AI models by intelligence per dollar. The price spread is 114× — but value tells a very different story.
NVIDIA Nemotron 3 Nano Omni explicado: un único modelo abierto que ve, oye y lee (2026)
NVIDIA’s Nemotron 3 Nano Omni packs vision, audio, video, and text into one open 30B-A3B model with only 3B active parameters. Here’s what it does, how good it is, and what it takes to run.
Explicación de Kimi K2.7 Code: el modelo abierto de programación de Moonshot con 1 billón de parámetros
Moonshot’s Kimi K2.7 Code is a 1T-parameter open-weight model built only for agentic coding. We verify the specs, the vendor benchmarks, the int4 hardware reality, and whether its aggressive $0.95/$4.00 pricing actually beats the closed frontier.
Huawei Ascend 950 y Pangu: la apuesta china de 2026 para los chips de IA
Huawei has turned its AI silicon plans into a dated, one-chip-a-year roadmap, opened the openPangu 2.0 models, and committed to open-sourcing CANN. We weigh all of it against the constraints the keynote skipped: a 7nm ceiling at SMIC, a homegrown HBM supply that can feed only a few hundred thousand chips, and a per-chip gap to NVIDIA that Huawei’s own roadmap admits.
GPT-5.6: Lo que sabemos frente a lo filtrado (2026)
As of June 19, 2026, GPT-5.6 has no model card, benchmarks, or pricing from OpenAI. We separate the confirmed record from the loud leaks (1.5M context, Mini/Pro variants, a ‘meaningful improvement’ quote) and show how a hypothetical GPT-5.6 would land against Claude Fable 5, Gemini 3.5, and the open-weight wave from China.
GLM 5.2 frente a Kimi K2.7 Code: ¿Qué codificador abierto gana?
Two Chinese labs shipped open-weight coding models a day apart. We fact-check the specs, context windows, pricing, licenses and benchmarks of GLM 5.2 and Kimi K2.7 Code to see which open coder actually fits your workflow.
GLM 5.2 explicado: el codificador abierto de Zhipu con contexto de 1 millón de tokens
Zhipu’s GLM 5.2 pairs a 1-million-token context with MIT-licensed open weights and a drop-in Anthropic-compatible API. Here are the confirmed specs, the benchmarks that landed with the weights, real access and self-hosting costs, and who should actually use it.
¿Qué es una base de datos vectorial? (guía 2026)
A plain-English guide to vector databases in 2026: what they are, how embeddings and similarity search actually work, the six options worth knowing, and when a plain Postgres extension is all you really need.