AI Coding Intelligence Platform · Know what to use. Know what it costs.

Know what to use. Know what it costs.

Global AI Coding Decision Engine: Verified data provenance, task-based benchmarks, 30-sec stack wizard, and true monthly cost simulation. Zero paid placements.

Popular:
  • 119models tracked
  • 21vendors
  • 40plans compared
  • 2dlast check
⚡ 30-Second AI Coding Decision Engine

Which AI Coding Stack Should I Use?

Enter your tech stack, task, and budget to calculate the optimal setup and estimated monthly cost in 30 seconds.

4h / day
1h (Light)4h (Std)8h (Heavy)
🥇 Primary: Best Modern Performance StackPeak Productivity
Claude Sonnet 5by Anthropic
⚡ Recommended Stack: Cursor Pro ($20/mo) + Claude Sonnet 5
  • Adaptive Thinking delivers state-of-the-art multi-file refactoring and type safety
  • Deeply optimized across modern IDE harnesses with near-zero code hallucination
  • Slashing input to $2.0 / output to $10.0 makes it the definitive flagship standard
Estimated Monthly Cost $118 ~ $202 / mo

Subscribe to Cursor Pro ($20/mo), with API key for overflow

🥈 Alternative: Ultra High Value StackSave ~84%
💰 Ultra-Saver Stack: Cursor Pro ($20/mo) + Gemini 3.7 Flash
  • Ultra-low cost at $0.15 / 1M input & $0.60 / 1M output
  • Native 1M token context window ideal for full codebase ingestion
  • Top-tier performance per dollar, excelling at everyday code and unit tests
Estimated Monthly Cost $26 ~ $32 / mo

Plug direct API keys for heavy daily code review without financial anxiety

💡 Architectural Recommendation: Adopt a tiered routing strategy—delegate 80% of routine completions and tests to Gemini 3.7 Flash, and switch to Claude Sonnet 5 for deep refactoring and hard concurrency bugs to achieve peak output at minimal cost.

Today's AI Coding Pulse

LIVE RADAR

Real-time tracker of price cuts, new model drops, and context expansions across the AI landscape.

View All 47+ Updates
⚡ Hardware@OpenAI

OpenAI Publishes First Jalapeño Custom Inference Chip Results: Up to 1.9x Work per Watt and 3.6x Lower Latency

OpenAI released InferenceX benchmarks for Jalapeño, its first custom inference silicon, showing 1.5–1.9x higher work per watt and 1.7–3.6x lower end-to-end latency across GPT-OSS 120B, DeepSeek R1, and Kimi K2.5.

🔥 Trending@ChatGPT

ChatGPT Work Computers Can Now Sign In to Websites Without Exposing User Credentials to the Model

ChatGPT Work's cloud computer environment can now sign in to websites on web and mobile for Plus, Pro, and Business users, storing credentials inside isolated browser forms without exposing passwords to the model.

🌟 Open Source@vllm_project

vLLM 0.28.0 Released: Full-Stack Kimi-K3, DeepSeek-V4 Sparse MLA, and Tiered Disk KV Cache

vLLM 0.28.0 landed with 584 commits, bringing stack-wide Kimi-K3 support, end-to-end DeepSeek-V4 sparse MLA with DFlash2/DSpark speculative decoding, Model Runner V2 disaggregation, and tiered disk KV cache.

🚀 Release@OpenRouter

OpenRouter Reveals Ox Alpha as GLM-5.3-Flash: Native Multimodal Model Surpasses 20T Tokens in 6 Days

OpenRouter confirmed the viral mystery Ox Alpha model is Zhipu's GLM-5.3-Flash, processing over 20 trillion tokens in six days as the fastest-growing model in router history, now live with 1M context.

Interactive Showcase

Benchmark, Compare, and Supercharge

From unbiased pass-rate benchmarks to transparent pricing matrices and copy-paste rules.

RankModel / LabCursorBench Pass RateAPI Input / 1MContext WindowAction
#1Claude Fable 5Anthropic
72.9%
$10.001M Compare →
#2Grok 4.6xAI
69.9%
$2.00500K Compare →
#3Gemini 3.7 FlashGoogle
68.4%
$0.751.0M Compare →
#4GPT-5.6 SolOpenAI
67.2%
$5.001M Compare →
#5Grok 4.5xAI
66.7%
$2.00500K Compare →
#6DeepSeek-V4Public Benchmark
65.8%
View →
Live desk

What the numbers say right now

Just landed on the desk.

New flagships, official numbers, source-linked. Not a press-release dump — the rows you can actually call.

Google2026-08-13

Gemini 3.7 Flash

CursorBench #3 · $0.75 / $3.75 intro

$0.75/1M1.0M context
Zhipu AI2026-08-14

GLM-5.3

+50% coding vs GLM-5.2 on Z.ai Code Bench

$1.4/1M1M context
See in pricing →

Cheapest coding models

Tagged coding, sorted by input $ / 1M

  1. 01Phi-4Microsoft · 16K$0.07
  2. 02Doubao Seed 2.0 LiteByteDance · 256K$0.08
  3. 03Mistral Small 4Mistral AI · 131K$0.10
  4. 04Hunyuan-TurboSTencent · 128K$0.11
  5. 05Hunyuan-T1Tencent · 128K$0.14
  6. 06Yi-Lightning01.AI · 16K$0.14
Full pricing table →

Vendors on the desk

Models tracked per lab

  • Google17
  • OpenAI16
  • Anthropic12
  • Qwen11
  • DeepSeek9
  • Zhipu AI8
  • xAI7
  • Moonshot AI6
Cost Simulation

How Much Will My Monthly Dev Bill Cost?

Simulate monthly token volume and compare flat-rate plans vs pay-as-you-go API costs

Quick Presets:
Monthly Input Tokens (Prompt)2 M tokens
Monthly Output Tokens (Completion)0.5 M tokens
DeepSeek-V3 API (PayG)Lowest Cost
$0.42/ mo
Gemini 3.7 Flash API (PayG)Best Value
$3.38/ mo
Cursor Pro (Flat Rate)Daily Driver
$20.00/ mo
Claude 3.7 Sonnet API (Direct)Top Capability
$13.50/ mo
How

How the data stays honest

01

Edited by humans

All data lives in a JSON file in our public git repo. Every change is a PR, fully audited.

02

Verified by robots

A daily script fetches each vendor's pricing page and confirms our numbers still appear in it.

03

Flagged when stale

If a vendor changes their page and verification fails, the row gets a yellow badge and the failure reason is shown.

04

No paid placement

Vendors cannot pay to be added, removed, or re-ranked. There is no advertising. The site is funded by the operating company.