Find the Best AI for Coding — In Cloud & Local GPUs
Zero-guesswork hardware compatibility & coding benchmark tracker. Evaluate Google's leaked Gemini 4 Carbon vs Claude 3.5 Sonnet, and calculate exact VRAM & quantization fit for local Ollama and LM Studio rigs.
SWE-bench & Coding Scores
Verified benchmark scores and leak telemetry.
Precise VRAM & KV Cache
Accounts for weights, 8K-64K context, & CUDA buffers.
One-Click Ollama Runs
Instant CLI run commands tailored to your exact VRAM.
Gemini 4 Carbon (Argon): What We Know So Far
According to recent insider leaks reported by Business Insider and tech analysts, Google DeepMind is training a dedicated software engineering model code-named Carbon (built on the Argon architecture) designed to take on Claude Opus 5.5 and Sonnet 3.5.
Leaked Benchmarks & Specs Head-to-Head(SWE-bench Verified & Architecture)
*Updated with latest October 2026 leaks| Model Name | Developer | Est. SWE-bench Verified | Context Window | Local Running? | Key Innovation |
|---|---|---|---|---|---|
| Gemini 4 CarbonLEAKED | Google DeepMind | ~55.4% (Rumored) | 1M+ Tokens | Cloud API Only | Recursive Self-Improvement (RSI) for automated repository engineering |
| Claude 3.5 SonnetBENCHMARK | Anthropic | 49.0% | 200K Tokens | Cloud API Only | Computer Use, precise agentic tool orchestration |
| Qwen 2.5 Coder 32BOPEN WEIGHTS | Alibaba Cloud | 41.5% | 128K Tokens | Yes (24GB GPU) | Highest coding score achievable on consumer 24GB GPUs (RTX 3090/4090) |
Gemini 4 Carbon & Argon Leak Timeline
Google Internal AI Checkpoint "Gemini Carbon 4" Leaked
Reports reveal Google DeepMind is training a dedicated software engineering model intended to leapfrog Anthropic's Claude 3.5 Opus. Google Trends searches for the term surged >5,000% within 24 hours.
Project Argon Checkpoints in Red-Teaming for Autonomous Loops
Engineers report testing autonomous agent loops where the model inspects git pull requests, identifies memory leaks, and writes multi-file unit tests without human intervention.
Get Notified When Carbon 4 Drops
Be the first to get access links, API benchmarks, and Ollama integration instructions the moment Google announces the model or opens the developer waitlist.
Can Your GPU Run It?
Select your hardware or custom memory tier to see which AI coding models fit in your VRAM, their expected SWE-bench programming scores, and instant Ollama launch commands.
Longer context windows reserve more VRAM for attention cache.
Compatible AI Coding Models (Ranked by Programming Capability)
Allocatable VRAM Ceiling: 11 GBQwen 2.5 Coder 14B Instruct
Qwen 2.5 Coder 7B Instruct
Qwen 2.5 Coder 7B Instruct
DeepSeek Coder V2.5 (236B MoE)
Qwen 2.5 Coder 32B Instruct
Qwen 2.5 Coder 32B Instruct
Qwen 2.5 Coder 32B Instruct
Llama 3.3 70B Instruct
Llama 3.3 70B Instruct
Qwen 2.5 Coder 14B Instruct
Qwen 2.5 Coder 14B Instruct
Top AI Coding Models by SWE-bench Verified
Ranked objectively by end-to-end repository problem-solving capability (SWE-bench Verified) and HumanEval pass@1.
| Rank | Model & Creator | SWE-bench Verified | HumanEval | Context | API Price (per 1M) | Deployment |
|---|---|---|---|---|---|---|
| #1 | Gemini 4 Carbon (Argon)RumoredGoogle DeepMind | 55.4% | 94.8% | 1M+ Tokens (Estimated) | $1.25 / $5 | Cloud API |
| #2 | Claude 3.5 SonnetAnthropic | 49% | 92% | 200K Tokens | $3 / $15 | Cloud API |
| #3 | DeepSeek Coder V2.5 (236B MoE)DeepSeek | 43.8% | 90.2% | 128K Tokens | $0.14 / $0.28 | Ollama / VRAM |
| #4 | Qwen 2.5 Coder 32B InstructAlibaba Cloud | 41.5% | 92.7% | 128K Tokens | Free (Local / Open) | Ollama / VRAM |
| #5 | Llama 3.3 70B InstructMeta | 39.4% | 88.6% | 128K Tokens | Free (Local / Open) | Ollama / VRAM |
| #6 | Qwen 2.5 Coder 14B InstructAlibaba Cloud | 32.8% | 86.4% | 128K Tokens | Free (Local / Open) | Ollama / VRAM |
| #7 | Qwen 2.5 Coder 7B InstructAlibaba Cloud | 26.2% | 82.3% | 128K Tokens | Free (Local / Open) | Ollama / VRAM |
Frequently Asked Questions & Specs
Technical answers and hardware specifications for AI coding workflows.