Stactora - AI Hardware IndexMy Stack0+ Submit Tool
03 Categories & Licenses17 VERIFIED ENGINES

Best AI Coding Models & Agentic IDEs (2026 Benchmark & VRAM Index)

Compare repository-scale AI coding IDEs (Cursor, GitHub Copilot) against self-hosted open-weight coding models (Qwen2.5-Coder-32B, Qwen 2.5 14B, Gemma 2 27B).

CATEGORYCoding & Repo IDEs
BEST LOCAL CODERQwen2.5-Coder-32B
BEST CLOUD IDECursor ($20/mo)
Verified Engines for /category/coding-ides
17 RESULTSClick any model card to open its dedicated /ai/[slug] page.
01
●CLOUD • 93/100
Claude
CODING / AI INDEXCl
Claude
Anthropic

Anthropic's assistant, known for long-document reasoning, nuanced writing, and coding, with context windows up to 1M tokens on higher tiers.

BASE ARCHITECTURE / Claude Sonnet / Opus 4.x
SInstant Cloud Web Studio (0 GB VRAM • Free / $20 mo+)
ℹTHE BRUTAL TRUTH

The only consumer assistant with a real 1M context that works. If you read 200+ page documents, this is the one. Otherwise, ChatGPT's ecosystem wins.

API
ILLUSTRATIVE PROMPT

Summarise a 400-page technical document with section-level citations.

PREVIEW NOTE

Illustrative long-context task; not executed here.

1,178
03
●CLOUD • 90/100
GitHub Copilot
CODING / AI INDEXGC
GitHub Copilot

The most widely deployed AI coding assistant, embedded across VS Code, JetBrains, and GitHub itself with multi-model routing.

BASE ARCHITECTURE / Multi-model routing
SInstant Cloud Web Studio (0 GB VRAM • Free / $10 mo)
ℹTHE BRUTAL TRUTH

Cheaper than Cursor, but the agentic workflow is still behind. If you're on GitHub Enterprise already it's a no-brainer — otherwise, look at Cursor first.

API
ILLUSTRATIVE PROMPT

Review this pull request for null-safety issues.

PREVIEW NOTE

Illustrative review task; not executed here.

1,102
08
●LOCAL • 91/100
Gemma 2 27B
CODING / AI INDEXG2
Gemma 2 27B
Google DeepMind

Google DeepMind's flagship 27.2B open model featuring alternating local/global attention and post-training alignment, punching above its weight class on single-GPU hardware.

BASE ARCHITECTURE / Google Gemma 2 27B (Instruct)
BRuns well (60/100) • Q4_K_M (~39 tok/s • 6GB free)
ℹTHE BRUTAL TRUTH

Google's 27B architecture punches way above its parameter weight. If 8K context is sufficient for your workload, it is an outstanding 24GB driver.

No cardLocalAPIOpen weightsHF
ILLUSTRATIVE PROMPT

Implement a rate-limited API endpoint with structured errors.

PREVIEW NOTE

Robust implementation with structured error handling.

890
12
●LOCAL • 90/100
Codestral-22B
CODING / AI INDEXCd
Codestral-22B
Mistral AI

Mistral's dedicated 22B open-weight code generation and fill-in-the-middle model with 32K context, fluent in over 80 programming languages.

BASE ARCHITECTURE / Codestral-22B-v0.1
ARuns well (77/100) • Q4_K_M (~50 tok/s • 10GB free)
ℹTHE BRUTAL TRUTH

Superb code generation and fill-in-the-middle accuracy, but the MNPL license prevents production commercial SaaS deployment without contacting Mistral.

No cardLocalAPIOpen weightsHF
ILLUSTRATIVE PROMPT

Implement an LRU cache with O(1) get and put in C++ using std::list and std::unordered_map.

PREVIEW NOTE

An optimized C++17 LRU cache class with lock guards and iterator eviction.

730
13
●LOCAL • 86/100
StarCoder2-15B
CODING / AI INDEXSC
StarCoder2-15B
BigCode / ServiceNow

Trained on 4+ trillion tokens across 600+ programming languages from The Stack v2. Transparent, permissively trained code generation workhorse.

BASE ARCHITECTURE / StarCoder2-15B (dense)
SRuns well (85/100) • Q4_K_M (~71 tok/s • 14GB free)
ℹTHE BRUTAL TRUTH

Enterprise legal teams love the clean training dataset provenance. Good autocomplete, but shorter context than modern models.

No cardLocalAPIOpen weightsHF
ILLUSTRATIVE PROMPT

Write a Python data validator using Pydantic v2 with custom field serializers.

PREVIEW NOTE

A typed Pydantic BaseModel with @field_validator and model_serializer functions.

612
14
●LOCAL • 82/100
Code Llama 34B Instruct
CODING / AI INDEXCL

Meta's 34B parameter code-specialized model with infilling capabilities and large context. Battle-tested base for enterprise fine-tuning.

BASE ARCHITECTURE / Code Llama 34B Instruct
BRuns well (61/100) • Q4_K_M (~35 tok/s • 4GB free)
ℹTHE BRUTAL TRUTH

Historic milestone, but newer models like Qwen 3.6 27B and Qwen3-Coder beat it soundly while using fewer resources. Only use if tied to existing fine-tunes.

No cardLocalAPIOpen weightsHF
ILLUSTRATIVE PROMPT

Create a Bash script with getopt that parses flags, logs errors to stderr, and verifies disk space.

PREVIEW NOTE

A robust POSIX-compliant shell script with trap cleanup handlers and error codes.

590
17
●LOCAL • 92/100
Nanbeige 4.3 33B
CODING / AI INDEXNB
Nanbeige 4.3 33B
Nanbeige LLM Lab

Nanbeige's flagship 33B dense language and coding model with a 512K context window. Engineered specifically for agentic terminal workflows, SWE-bench engineering, and professional enterprise co-work under Apache 2.0.

BASE ARCHITECTURE / Nanbeige4.3-33B (Dense Teacher Architecture)
DDecent (36/100) • Q4_K_M (~21 tok/s • 3GB free)
ℹTHE BRUTAL TRUTH

A serious alternative to Qwen2.5-Coder-32B built specifically for autonomous agents that run terminal commands and refactor full repos. If you run SWE-bench agents on a 24GB card, this is a top-tier driver.

No cardLocalAPIOpen weightsHFPermissive
ILLUSTRATIVE PROMPT

Diagnose this failing CI pipeline across 4 microservices and execute terminal fixes.

PREVIEW NOTE

Step-by-step reasoning trace with verified terminal commands and patch files.

410

Frequently Asked Questions · /category/coding-ides

What is the best local open-source coding LLM for 24GB VRAM?
Qwen2.5-Coder-32B (18GB at Q4_K_M, 256K context, Apache 2.0) and Qwen 2.5 14B (17GB at Q4_K_M) lead single-GPU coding benchmarks.
Is Cursor worth $20/mo if I have a 24GB GPU?
Cursor's multi-file tab prediction and repo indexing save hours if you bill $50+/hr, while pairing Continue.dev or Cline with local Qwen3-Coder gives you 100% air-gapped privacy for $0.