Atlas / Models / Microsoft / WizardLM-2 8x22B

WizardLM-2 8x22B✓ Catalog verified

microsoft/wizardlm-2-8x22b

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 instruct finetune of Mixtral 8x22B. To read more about the model release, click here. #moe

Input price
$0.62 /1M
Output price
$0.62 /1M
Context
66K
Modalities
text
Released
Apr 16, 2024
Tool calling
Atlas signal
74/100
01

Overview

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 instruct finetune of Mixtral 8x22B. To read more about the model release, click here. #moe

Access: available through the official Microsoft API. Context window: 66K.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Aug 5, 2026
02

Specifications

API identifiermicrosoft/wizardlm-2-8x22b
ProviderMicrosoft
Model typeText LLM
Context window66K catalog
Input modalitiestext
Output modalitiestext
ReleasedApr 16, 2024
TokenizerMistral
Instruction formatvicuna
ModeratedNo
Architecture modalitytext->text
Supported parameters
frequency_penaltymax_tokenspresence_penaltyrepetition_penaltyseedstoptemperaturetop_ktop_p
Source: provider documentation + catalog feedMethodology →
03

Pricing

Live pricing components for microsoft/wizardlm-2-8x22b as published in the catalog.

$0.62
Input /1M
$0.62
Output /1M
Per request
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$6.2e-7$0.62 / 1MPer input token
Completion tokens$6.2e-7$0.62 / 1MPer output token
Request feeN/AN/APer request
Image feeN/AN/APer image unit
Web search feeN/AN/APer search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$0.43Calculated from current list pricing in the ModelsAtlas catalog.
05

Capabilities

CapabilityStatusWhat it means
Visual UnderstandingNot advertisedImage and document analysis support
Audio ProcessingNot advertisedSpeech and voice aligned flows
Tool CallingNot advertisedSupports tools / function calling
Self-HostingNot advertisedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

WizardLM-2 8x22B
MMLU Signal (Reasoning)
74signal
Coding Signal (HumanEval proxy)
74signal
Math Signal (GSM8K proxy)
74signal
Science Signal (GPQA proxy)
74signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call WizardLM-2 8x22B through an OpenAI-compatible client.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="microsoft/wizardlm-2-8x22b",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

print(response.choices[0].message.content)
08

Alternatives

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does WizardLM-2 8x22B cost?

$0.62 per 1M input tokens and $0.62 per 1M output tokens on the official Microsoft API.

What is the context window of WizardLM-2 8x22B?

WizardLM-2 8x22B supports up to 66K tokens of context.

Does WizardLM-2 8x22B support tool / function calling?

WizardLM-2 8x22B does not advertise first-class tool/function calling. Check vendor docs for the latest capabilities.

How do I access WizardLM-2 8x22B?

Use the official Microsoft API with the model id `microsoft/wizardlm-2-8x22b`. See the Quick start section above for code examples.