qwen
WizardLM-2 8x22B vs Qwen3.6 Plus
68.9 overall · $0.731 / 1M
// microsoft
WizardLM-2 8x22B
microsoft/wizardlm-2-8x22b
WizardLM-2 8x22B costs $0.620 per 1M input tokens and $0.620 per 1M output tokens with a 66K-token context window.
A model from microsoft, released Apr 16, 2024. LiveBench hasn't published a run for it, so this page carries measured price and specs only — no benchmark numbers.
- Input / 1M
- $0.620
- Output / 1M
- $0.620
- Context
- 66K
- LiveBench overall
- Not evaluated
Specs and pricing
| Input price USD per 1M prompt tokens | $0.620 |
|---|---|
| Output price USD per 1M completion tokens, reasoning included | $0.620 |
| Blended price 3:1 input:output — #158 cheapest of 343 listed models | $0.620 |
| Cached input read Blank means not priced separately — not free | — |
| Cache write | — |
| Context window | 65,535 tokens |
| Max output | 8,000 tokens |
| Input modalities | text |
| Tool calling | No |
| Extended reasoning | No |
| Knowledge cutoff | 2024-04-30 |
| Listed | Apr 16, 2024 |
What WizardLM-2 8x22B costs to run
Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.
| Workload | Per month |
|---|---|
| Support chatbot 1.2K in / 400 out × 200K requests | $198.40/mo |
| RAG assistant 8K in / 600 out × 100K requests | $533.20/mo |
| Coding agent 40K in / 4K out × 20K requests | $545.60/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $666.50/mo |
| Bulk classification 500 in / 20 out × 5M requests | $1,612/mo |
Compare WizardLM-2 8x22B with
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WizardLM-2 8x22B vs Gemini 3.5 Flash Lite
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WizardLM-2 8x22B vs GPT-5.6 Luna
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WizardLM-2 8x22B vs GLM 5.3
76.1 overall · $0.862 / 1M
WizardLM-2 8x22B FAQ
How much does WizardLM-2 8x22B cost?
WizardLM-2 8x22B lists at $0.620 per 1M input tokens and $0.620 per 1M output tokens. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $533.20 at list price.
What is the context window of WizardLM-2 8x22B?
WizardLM-2 8x22B accepts up to 65,535 tokens of context and can return up to 8,000 output tokens per response.
Does WizardLM-2 8x22B support tool calling?
WizardLM-2 8x22B does not list tool (function) calling support. It accepts text input.
How does WizardLM-2 8x22B score on benchmarks?
LiveBench has not published a run for WizardLM-2 8x22B yet. Until it does, compare it on price and specs, or run your own evaluation on your own tasks.
What is the API model ID for WizardLM-2 8x22B?
On OpenRouter the model ID is "microsoft/wizardlm-2-8x22b". It was listed on Apr 16, 2024.
More from microsoft
How these numbers are produced
- Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores and ranks — LiveBench release 2026-06-25. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.