AI for Code Generation

242 models ranked for code generation. Scored with heavy bonuses for large output (complete files), reasoning (correct logic), large context (project awareness), streaming, JSON mode, and function calling.

How we rank: composite score (benchmark scores 90%, capabilities 5%, context window 5%) adjusted with use-case-specific capability bonuses.

#1 for Code Gen

242

Total Ranked

213

16K+ Output

242

Reasoning

237

128K+ Context

Code Gen AI - Ranked by Code Generation Score

#	Model	Provider	Score	$/1M Out	Max Out	Context
1	Claude Fable 5Anthropic	Anthropic	97	$50.00	128K	1M
2	Claude Fable 5 (batch)Anthropic	Anthropic	97	$25.00	128K	1M
3	Claude Opus 5 (Fast)Anthropic	Anthropic	95	$50.00	128K	1M
4	Claude Opus 5Anthropic	Anthropic	95	$25.00	128K	1M
5	Claude Opus 4.8 (Fast)Anthropic	Anthropic	95	$50.00	128K	1M
6	Claude Opus 4.8Anthropic	Anthropic	95	$25.00	128K	1M
7	Claude Opus 4.7 (Fast)Anthropic	Anthropic	95	$150.00	128K	1M
8	Claude Opus 4.7Anthropic	Anthropic	95	$25.00	128K	1M
9	Claude Opus 4.7 (batch)Anthropic	Anthropic	95	$12.50	128K	1M
10	Claude Opus 4.8 (batch)Anthropic	Anthropic	95	$12.50	128K	1M
11	GPT-5.5 ProOpenAI	OpenAI	93	$180.00	128K	1.1M
12	GPT-5.5 Pro (batch)OpenAI	OpenAI	93	$90.00	128K	1.1M
13	GPT-5.5OpenAI	OpenAI	93	$30.00	128K	1.1M
14	GPT-5.5 (batch)OpenAI	OpenAI	93	$15.00	128K	1.1M
15	Gemini 3.1 Pro Preview Custom ToolsGoogle	Google	92	$12.00	66K	1.0M
16	Gemini 3.1 Pro PreviewGoogle	Google	92	$12.00	66K	1.0M
17	Gemini 3.1 Pro Preview (batch)Google	Google	92	$6.00	66K	1.0M
18	GPT-5.4 ProOpenAI	OpenAI	92	$180.00	128K	1.1M
19	GPT-5.4 Pro (batch)OpenAI	OpenAI	92	$90.00	128K	1.1M
20	GPT-5.4OpenAI	OpenAI	92	$15.00	128K	1.1M
21	GPT-5.4 (batch)OpenAI	OpenAI	92	$7.50	128K	1.1M
22	GPT-5.3-CodexOpenAI	OpenAI	91	$14.00	128K	400K
23	GPT-5.2-CodexOpenAI	OpenAI	91	$14.00	128K	400K
24	GPT-5.2 ProOpenAI	OpenAI	91	$168.00	128K	400K
25	GPT-5.2 Pro (batch)OpenAI	OpenAI	91	$84.00	128K	400K
26	GPT-5.2OpenAI	OpenAI	91	$14.00	128K	400K
27	GPT-5.2 (batch)OpenAI	OpenAI	91	$7.00	128K	400K
28	Claude Opus 4.6Anthropic	Anthropic	90	$25.00	128K	1M
29	Claude Opus 4.6 (batch)Anthropic	Anthropic	90	$12.50	128K	1M
30	GPT-5.6 Luna ProOpenAI	OpenAI	89	$0.60	128K	1.1M

AI-Powered Code Generation

Function & Class Generation

Describe what you need in plain language and get production-ready code. Large output models generate complete classes with methods, types, and documentation.

Full Application Scaffolding

Generate entire project structures including routes, models, controllers, and configuration. Large context understands your existing codebase for consistent patterns.

Multi-Language Support

Generate code in Python, TypeScript, Go, Rust, Java, and 20+ languages. Reasoning models understand language-specific idioms and best practices.

Code Completion & Infilling

Complete partial functions, fill in TODO comments, and extend existing patterns. Streaming provides real-time code suggestions as you type.

Best for Coding Coding Assistants Refactoring Testing Long Output LLM Leaderboard Developers Code Review Debugging Web Dev

Frequently Asked Questions

Models scoring highest on coding benchmarks (SWE-bench, HumanEval) generate the most reliable code. Look for models with large output tokens (16K+) for complete implementations and reasoning capability for architecturally sound solutions.

Top models generate complete files, multi-file projects, and full-stack applications. Models with 16K+ output tokens produce entire components without truncation. For large projects, use models with big context windows to maintain consistency across files.

Python, JavaScript/TypeScript, and Go have the richest training data and produce the best results. Rust, Swift, and Kotlin are well-supported but may need more specific prompting. Niche languages (Haskell, Elixir) work best with the largest models.

Yes, with guardrails. Use AI for initial implementation and boilerplate, then review with tests and linting. Models with function calling integrate into IDE workflows and CI pipelines. The best results come from iterative prompting with test feedback.