WizardLM Team
17 models across 3 families · Latest: WizardCoder 33B (2024-01)
Advancing Language Model Capabilities
WizardLM Team's portfolio covers 17 active models across 3 current families, spanning classification and json / tool use. Open a model detail page to compare provider routes and sourced benchmarks.
Covers 2 workload areas across 17 active tracked models; last verified 2026-06-29.
Use it for
- Teams evaluating classification and json / tool use across this lab's releases
- Comparing model families before committing to a flagship
- Migration and pricing follow-ups across 17 tracked models
Do not use it for
- Choosing a hosting provider without opening a model page for price ladders
Active models
17
Current models from this lab, excluding deprecated ones
Active families
3
Current model families from this lab
Open catalog
17 open
7 open source / 10 open weights
Lowest output price
$0.300 /1M
Cheapest tracked output across active models, per 1M tokens
Latest dated release
2024-01-29
WizardCoder 33B
Freshness
2026-06-29
Researched 65d ago
Information
Release cadence
- Dated releases
- 5
- Latest model
- WizardCoder 33B
- Latest date
- 2024-01-29
Where this lab wins
- Classification: 2 tracked models with MMLU-class moderation/safety coverage.
- JSON/tool-use: 2 tracked models with BFCL / Nexus strict-JSON routing coverage.
Flagship quality / price signal
- Flagship
- WizardLM 70B
- Selection source
- Best sourced coding Q/$
- Coding grade
- unknown
- Benchmark / output price
- Not enough sourced benchmark and price coverage
About
The WizardLM Team is dedicated to advancing large language models (LLMs) with a focus on enhancing their ability to follow complex instructions. Their core innovation lies in the ""AI Align AI"" (AAA) framework, which leverages multiple state-of-the-art LLMs to collaboratively train and refine one another. This approach, combined with techniques like Evol-Instruct and Reinforcement Learning for Instruction and Process Supervision (RLEIF), enables the creation of high-quality training data and the fine-tuning of models for superior performance in complex chat, multilingual capabilities, reasoning, and agent-based interactions.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License | Openness |
|---|---|---|---|---|---|---|
| WizardCoder 33B | 2024-01-29 | 16k | $0.20 | $1.00 | Apache 2.0 | Open source |
| WizardCoder Python 34B | 2024-01-29 | 100k | $0.8 | $0.8 | Apache 2.0 | Open source |
| Wizard Coder 15B | 2024-01-29 | 8k | - | - | Apache 2.0 | Open source |
Model families
Recent releases
- WizardCoder 33B- 2024-01-29
- WizardCoder Python 34B- 2024-01-29
- Wizard Coder 15B- 2024-01-29
- WizardCoder Python 13B- 2024-01-29
- WizardCoder Python 7B- 2024-01-29
Explore related pages
Last reviewed: 2026-06-29. Data sourced from public lab announcements and provider documentation.