WizardCoder

Microsoft's 2023 Evol-Instruct code model — once SOTA, now dated.

Code & Dev Tools Open Source Has API Open Source
Researched · Published · Reviewed
RECATOOLS Score
5.8 / 10
Capability
6
Value for money
7.5
Ease of use
4
ASEAN readiness
5
API quality
Founded
2023
HQ
Redmond, Washington
Users
200k+ downloads
Launched
Jun 2023
Developer
Microsoft

Overview

WizardCoder is Microsoft Research's 2023 Evol-Instruct fine-tune of Code Llama/DeepSeek-Coder bases, self-hosted only with no official API; its last real update was January 2024, and 2026-era models like Qwen3-Coder and DeepSeek-Coder-V2 now beat its HumanEval scores by 10+ points.

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Pricing

Pricing shown for reference only. These figures reflect RECATOOLS research as of 11 Jul 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.

Free
Free
Free to download

Use cases

Building a local coding assistant with strong instruction-following for complex queries Fine-tuning on company-specific coding patterns for internal development assistance Research into code model fine-tuning techniques using an open base model
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ASEAN Perspective

WizardCoder in Southeast Asia

ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).

RECATOOLS Verdict

WizardCoder applies Microsoft's Evol-Instruct technique — progressively harder auto-generated coding instructions — to fine-tune Code Llama and DeepSeek-Coder bases. At release it was genuinely competitive: WizardCoder-33B-V1.1 hit 79.9 pass@1 on HumanEval, respectable numbers that held up against much larger proprietary models in 2023-24. The GitHub repo (nlpxucan/WizardLM) hasn't shipped a meaningful update since that January 2024 release. That matters, because 2026's open-weight coding models have moved well past it: Qwen3-Coder and DeepSeek-Coder-V2 both clear 90%+ on HumanEval, and the field has largely shifted to agentic, repo-scale benchmarks like SWE-Bench where WizardCoder was never evaluated. There's no hosted product or API — you're pulling weights from Hugging Face and running your own GPU inference. Worth knowing as a historical reference point in the open-weights lineage; not a model to deploy today.

Independent AI-assisted assessment by RECATOOLS.

What people say

January 2024 is the last time the WizardCoder GitHub repo (nlpxucan/WizardLM) shipped anything that counts as a real update. That's the headline for anyone considering it today: this is a two-and-a-half-year-old checkpoint being evaluated against a completely different generation of open models.

The technique behind it — Evol-Instruct, which auto-generates progressively harder coding instructions to fine-tune on — was legitimately clever, and WizardCoder-33B-V1.1 (trained on a DeepSeek-Coder-33B base) scored 79.9 pass@1 on HumanEval and 73.2 on HumanEval+. Those were strong numbers for late 2023 and early 2024, competitive with models several times its size.

They aren't strong numbers now. Qwen3-Coder clears roughly 92% on HumanEval, DeepSeek-Coder-V2 sits around 91.6%, and Mistral's Devstral Small is past 90% — all comfortably ahead of what WizardCoder ever posted, and all of them also compete on harder, repo-scale benchmarks like SWE-Bench that didn't really exist as a standard when WizardCoder shipped.

There's no hosted version, no API, no chat interface — you download weights from Hugging Face (15B, 33B, or 34B variants) and run them yourself, which means GPU budget and some ML tooling knowledge. Fine as a free, self-hostable baseline or a history lesson in how far Evol-Instruct-style fine-tuning could push a mid-size model. Not a serious pick for anyone shopping for a current coding assistant in 2026.

Summary of public user & expert reviews, compiled by RECATOOLS.

Notable facts

  • WizardCoder's Evol-Instruct technique generates progressively harder coding challenges during training — essentially teaching itself harder problems the same way a student advances through textbooks.
  • The 34B version of WizardCoder was the first open-source model to achieve above 70% on HumanEval, a benchmark previously dominated by closed commercial models.
  • The WizardLM family (including WizardCoder) was created by a team of 3 researchers at Microsoft, demonstrating that small focused teams can match large lab outputs with smart methodology.

Frequently asked questions

Is WizardCoder free?
Yes. Model weights are free to download from Hugging Face.
How does WizardCoder differ from CodeLlama?
WizardCoder is fine-tuned using Evol-Instruct for stronger instruction following. CodeLlama is Meta's base model.
What is Evol-Instruct?
A training technique that evolves simple instructions into progressively more complex versions, improving model performance on difficult tasks.
What licence does WizardCoder use?
Based on Code Llama's Llama Community Licence — commercial use permitted for most organisations.
Can I fine-tune WizardCoder further?
Yes, additional fine-tuning on domain-specific code data is supported.

About this listing

Researched on
Published on
Last reviewed

This entry was compiled from publicly available data including WizardCoder's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with WizardCoder unless explicitly stated.

Data accuracy

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