WizardLM-2 8x22B is Microsoft AI's most advanced Wizard model. It demonstrates highly competitive performance compared to leading proprietary models, and it consistently outperforms all existing state-of-the-art opensource models. It is an…
Model details →WizardLM-2 8x22B vs Qwen2.5 Coder 32B Instruct
WizardLM-2 8x22B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Significantly improvements in **code generation**, **code reas…
Model details →Side-by-side comparison
| Capability | WizardLM-2 8x22B | Qwen2.5 Coder 32B Instruct | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 66K | 33K | 🏆 WizardLM-2 8x22B |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.62 | $0.66 | 🏆 WizardLM-2 8x22B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.62 | $1.00 | 🏆 WizardLM-2 8x22B |
| Tool / function calling First-class support for emitting structured tool calls. | — | — | Tie |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is WizardLM-2 8x22B better than Qwen2.5 Coder 32B Instruct?
WizardLM-2 8x22B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between WizardLM-2 8x22B and Qwen2.5 Coder 32B Instruct?
Input: $0.62 vs $0.66 per 1M tokens. Output: $0.62 vs $1.00 per 1M tokens.
What context windows do WizardLM-2 8x22B and Qwen2.5 Coder 32B Instruct support?
WizardLM-2 8x22B supports up to 66K tokens. Qwen2.5 Coder 32B Instruct supports up to 33K tokens.
Do both WizardLM-2 8x22B and Qwen2.5 Coder 32B Instruct support tool calling?
WizardLM-2 8x22B: not advertised. Qwen2.5 Coder 32B Instruct: not advertised.