Best LLMs for Swift 2026 | Swift & iOS AI Leaderboard

Real-time rankings of the best LLMs for Swift programming and iOS/macOS app development.

Z.ai: GLM 5.1

Z.ai: GLM 5.1

by Z.ai

202.75K tokens

GLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks. Unlike previous models built around minute-level interactions, GLM-5.1 can work independently and continuously on a single task for more than 8 hours, autonomously planning, executing, and improving itself throughout the process, ultimately delivering complete, engineering-grade results.

Position Medals
MoonshotAI: Kimi K2.6

MoonshotAI: Kimi K2.6

by moonshotai

262.14K tokens

Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and can convert prompts and visual inputs into production-ready interfaces. Its agent swarm architecture scales to hundreds of parallel sub-agents for autonomous task decomposition - delivering documents, websites, and spreadsheets in a single run without human oversight.

Position Medals
Anthropic: Claude Opus 4.6

Anthropic: Claude Opus 4.6

by Anthropic

1M tokens

Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective for large codebases, complex refactors, and multi-step debugging that unfolds over time. The model shows deeper contextual understanding, stronger problem decomposition, and greater reliability on hard engineering tasks than prior generations. Beyond coding, Opus 4.6 excels at sustained knowledge work. It produces near-production-ready documents, plans, and analyses in a single pass, and maintains coherence across very long outputs and extended sessions. This makes it a strong default for tasks that require persistence, judgment, and follow-through, such as technical design, migration planning, and end-to-end project execution. For users upgrading from earlier Opus versions, see our [official migration guide here](https://openrouter.ai/docs/guides/guides/model-migrations/claude-4-6-opus)

Position Medals

4

Anthropic: Claude Opus 4.7

Anthropic: Claude Opus 4.7

by Anthropic

1M tokens

5

DeepSeek: DeepSeek V4 Pro

DeepSeek: DeepSeek V4 Pro

by DeepSeek

1.05M tokens

6

Xiaomi: MiMo-V2.5-Pro

Xiaomi: MiMo-V2.5-Pro

by Xiaomi

1.05M tokens

7

Anthropic: Claude Sonnet 4.6

Anthropic: Claude Sonnet 4.6

by Anthropic

1M tokens

8

DeepSeek: DeepSeek V4 Flash

DeepSeek: DeepSeek V4 Flash

by DeepSeek

1.05M tokens