GPT-5.2 ships with 400K context Claude Opus 4.5 tops coding benchmarks Gemini 3 Pro hits 2M token window DeepSeek R2 undercuts the market PS5 Pro adds PSSR AI upscaling RTX 5090 vs RX 8900 XTX — read the verdict 100+ AI tools ranked in the KLYROO directory Best AI for coding in 2026 GPT-5.2 ships with 400K context Claude Opus 4.5 tops coding benchmarks Gemini 3 Pro hits 2M token window DeepSeek R2 undercuts the market PS5 Pro adds PSSR AI upscaling RTX 5090 vs RX 8900 XTX — read the verdict 100+ AI tools ranked in the KLYROO directory Best AI for coding in 2026
Meta logo
Meta · 2026

Llama 4

8.7Open multimodal
CompanyMeta
Release2026
TypeOpen multimodal
Context window1M tokens
Input typesText, Image
Output typesText
ReasoningVery good
CodingVery good
MultimodalYes
API availableYes
PricingOpen weights

Overview

Llama 4 is a open multimodal model from Meta, released in 2026. It accepts text, image as input and produces text. With a context window of 1M tokens, it is well suited to self-hosted and on-prem ai applications.

Capabilities

On reasoning, Llama 4 is rated very good, while its coding ability is very good. Multimodal support: Yes. These characteristics make it a strong fit for self-hosted and on-prem ai applications. As with any frontier system, real-world performance depends heavily on how you prompt and integrate it.

Availability & Pricing

Llama 4 is accessible via an API. Pricing model: Open weights. Availability and pricing for AI models change frequently; confirm the latest details from Meta before building on it.

Best Use Cases

The sweet spot for Llama 4 is self-hosted and on-prem ai applications. Teams choosing a model should weigh context length, cost, latency and modality against their workload — Llama 4 is a particularly good match when those priorities align with its strengths.

Other Models