Models on Vibe Coding

Claude Opus 5

Mon, 01 Jan 0001 00:00:00 +0000

Claude Opus 5 is Anthropic’s top-tier model, tuned specifically for agentic coding — multi-file features, large refactors, and end-to-end implementation work rather than single-shot completions. Give it a full task specification up front and it tends to run the whole way to a finished result instead of leaving stubs behind.

Claude Sonnet 5

Mon, 01 Jan 0001 00:00:00 +0000

Claude Sonnet 5 closes most of the gap to Opus-tier quality on coding and agentic tasks while staying meaningfully cheaper — a solid default for the coding work that makes up most of a normal week, not just the hardest 20%.

GPT-5.6 Sol

Mon, 01 Jan 0001 00:00:00 +0000

GPT-5.6 Sol is the top tier of OpenAI’s three-model GPT-5.6 lineup (Luna, Terra, Sol), positioned as the strongest option for coding, enterprise work, and cybersecurity tasks, with a claim on efficiency alongside raw capability.

Gemini 3.1 Pro

Mon, 01 Jan 0001 00:00:00 +0000

Gemini 3.1 Pro is Google’s flagship coding and reasoning model — Gemini 3.5 Pro hasn’t shipped yet, so 3.1 Pro remains the top tier of the Gemini line for complex, multi-step work.

Grok 4.6

Mon, 01 Jan 0001 00:00:00 +0000

Grok 4.6 is xAI’s frontier model for coding, agentic tasks, and knowledge work, and the current flagship behind Grok Build — xAI’s dedicated coding agent and terminal UI.

Why it stands out

Aggressive tiered pricing — a lower rate below 200K prompt tokens and a scaled-up rate above it, so short-context coding sessions stay cheap.
Grok Build, xAI’s open-source coding agent and TUI, gives it a purpose-built harness rather than relying only on third-party tools.
500K-token context window, comfortably large for most real-world coding sessions.

Good for

Fast, iterative agentic coding workflows — especially teams already using Grok Build or wanting a cheaper alternative to the largest frontier models for everyday agent loops.

DeepSeek V4

Mon, 01 Jan 0001 00:00:00 +0000

DeepSeek V4 ships in two MIT-licensed variants — V4-Pro and V4-Flash — with weights published on Hugging Face. It’s a genuinely open model: download it, fine-tune it, or ship it in a product, not just call an API.

Qwen3-Coder-Next

Mon, 01 Jan 0001 00:00:00 +0000

Qwen3-Coder-Next is built for self-hosted coding agents — an 80B-total, 3B-active mixture-of-experts model under an Apache 2.0 license, small enough to run on a single well-equipped workstation instead of a data-center cluster.

Kimi K2.7 Code

Mon, 01 Jan 0001 00:00:00 +0000

Kimi K2.7 Code is Moonshot AI’s coding-focused release in the Kimi K2 line, built to carry end-to-end programming tasks across long, multi-turn agent sessions rather than one-shot completions.

Why it stands out

Always-on thinking mode that preserves full reasoning content across multi-turn conversations, instead of resetting context between steps.
Native multimodal mixture-of-experts architecture, accepting text and image input in the same coding session.
Frontier-competitive coding benchmarks at a fraction of the per-token cost of comparable Western frontier models.
Steep cache discount (roughly 80% off cache-miss input pricing), which rewards long, iterative agent loops that keep re-reading the same context.

Good for

Teams running long, agentic coding sessions who want frontier-adjacent reasoning quality without frontier-model pricing.

GLM-5.2

Mon, 01 Jan 0001 00:00:00 +0000

GLM-5.2 is Z.ai’s (formerly Zhipu AI) flagship open-weight model — a 753-billion-parameter mixture-of-experts design released under the MIT license, with a 1M-token context window and full downloadable weights.

Why it stands out

MIT-licensed, 753B-parameter MoE weights, fully self-hostable with no usage restrictions.
1M-token context window with up to 131K tokens of output in a single response.
Beats GPT-5.5 on FrontierSWE at roughly a sixth of the cost, per Zhipu’s own benchmarking.
Selectable High/Max reasoning modes, letting you trade latency for depth on harder multi-step coding tasks.

Good for

Teams that want a genuinely open, frontier-tier coding model to self-host, fine-tune, or run at scale without per-token lock-in.

MiniMax M3

Mon, 01 Jan 0001 00:00:00 +0000

MiniMax M3 is Shanghai-based MiniMax’s frontier open-weight release, combining a 1M-token context window with native multimodal input — text, image, and video — aimed at full-repository code understanding rather than file-by-file work.