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microsoft · Open weights

WizardLM-2 8x22B

Added Apr 15, 2025Open weights

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Use in the app

Microsoft's advanced Wizard model. The most popular role-playing model.

  • PDF input
Input
Text
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.49
Output
$0.49

Reference prices as published by the model provider. API example

Specifications

Context window
65.5K
Max output
8.2K

Side by side

WizardLM-2 8x22B compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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WizardLM-2 8x22BmicrosoftThis modelPhi 4 MinimicrosoftRemove
Providermicrosoftmicrosoft
Discovery tierOpen weightsOpen weights
AddedApr 15, 2025Jul 26, 2025
Limits
Context window65.54K128KBest
Max output8.19K16.38KBest
Average output—24 tokens
Pricing, USD per 1M tokens
Input$0.49$0.17Best
Output$0.49Best$0.68
Performance
Request success (24h)—100.0%
Benchmark indexes
Intelligence Index—6.3
Coding Index—3.8
Math Index—6.7
Capabilities
PDF inputYesNo
Reasoning effort——

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • WizardLM-2 8x22B
  • Phi 4 Mini

Intelligence Index

  • WizardLM-2 8x22B—
  • Phi 4 Mini6.3
3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • WizardLM-2 8x22B: —
    • Phi 4 Mini: 3.8

  • Math Index

    Composite of the math evaluations

    • WizardLM-2 8x22B: —
    • Phi 4 Mini: 6.7

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • WizardLM-2 8x22B: —
    • Phi 4 Mini: 15.3%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • WizardLM-2 8x22B: —
    • Phi 4 Mini: 4.4%

  • GPQA Diamond

    Graduate-level science questions

    • WizardLM-2 8x22B: —
    • Phi 4 Mini: 33.1%

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • WizardLM-2 8x22B: —
    • Phi 4 Mini: 46.5%

  • IFBench

    Following precise output instructions

    • WizardLM-2 8x22B: —
    • Phi 4 Mini: 21.1%

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • WizardLM-2 8x22B: —
    • Phi 4 Mini: 12.6%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • WizardLM-2 8x22B: —
    • Phi 4 Mini: 6.7%

  • AIME

    Competition mathematics

    • WizardLM-2 8x22B: —
    • Phi 4 Mini: 3.0%

  • MATH-500

    Competition math problems

    • WizardLM-2 8x22B: —
    • Phi 4 Mini: 69.6%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • WizardLM-2 8x22B: —
    • Phi 4 Mini: 0.0%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • WizardLM-2 8x22B: —
    • Phi 4 Mini: 8.2%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • WizardLM-2 8x22B: —
    • Phi 4 Mini: 15.3%

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "microsoft/wizardlm-2-8x22b",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="microsoft/wizardlm-2-8x22b",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

microsoft

Other microsoft models, starting with the same family.