Modelos

Explora 34 modelos LLM canónicos de todos los proveedores

Mostrando 25–34 de 34 modelos

Grok 4.20

Estados Unidos

xAI's multi-agent capable model with 2M token context window. Available in reasoning, non-reasoning, and multi-agent variants for diverse enterprise workloads.

Contexto
2.0M
Publicado
feb 2026

Claude Sonnet 4.6

Estados Unidos

Anthropic's balanced model offering strong performance at lower cost and latency than Opus. Excellent for everyday coding, analysis, and content generation tasks with good reasoning capabilities.

Contexto
200K
Publicado
ene 2026

Mistral Large 3

Francia

Mistral AI's largest open-weight model with 41B active parameters (675B total MoE). State-of-the-art general-purpose multimodal model with 256K context window and powerful agentic capabilities. Released under Apache 2.0.

Contexto
256K
Publicado
dic 2025

Grok 4.1 Fast

Estados Unidos

xAI's fast and cost-effective model with 2M token context window. Offers both reasoning and non-reasoning modes at significantly lower pricing than flagship models.

Contexto
2.0M
Publicado
nov 2025

Claude Sonnet 4.5

Estados Unidos

Anthropic's previous-generation balanced model with strong coding and analysis capabilities. Offers excellent price-performance ratio for production workloads requiring reliable quality.

Contexto
200K
Publicado
oct 2025

Claude Haiku 4.5

Estados Unidos

Anthropic's fastest model with near-frontier intelligence. Optimized for high-throughput, low-latency applications requiring quick responses at minimal cost. Supports extended thinking.

Contexto
200K
Publicado
oct 2025

Gemini 2.5 Pro

Estados Unidos

Google's high-capability reasoning model with adaptive thinking for complex agentic and multimodal challenges. Features 1M token context window and strong performance on coding and scientific tasks.

Contexto
1.0M
Publicado
jun 2025

Gemini 2.5 Flash

Estados Unidos

Google's cost-effective model optimized for high throughput tasks. Balances speed and intelligence with strong multimodal capabilities and 1M token context window.

Contexto
1.0M
Publicado
jun 2025

Llama 4 Scout

Estados Unidos

Meta's efficient MoE model with 17B active parameters (109B total, 16 experts). Supports up to 10M token context — the longest of any production model. Strong performance on reasoning and multilingual tasks.

Contexto
10.0M
Publicado
abr 2025

Llama 4 Maverick

Estados Unidos

Meta's quality-focused MoE model with 17B active parameters (400B total, 128 experts). Targets quality-critical tasks with benchmark scores competitive with GPT-4o and Gemini 2.5 Pro.

Contexto
1.0M
Publicado
abr 2025