Microsoft: WizardLM-2 8x22B

Public pricingIntelligence 79/100Medium memoryاستخدام الأدوات

WizardLM-2 8x22B هو نموذج نصي مخصص لـالدردشة العامة والتحليل والاستخدام الإنتاجي. يجمع بين أداء عام ثابت وسياق بحجم 66K tokens وملف متوازن التكلفة لتقديم عمل موثوق في general chat, analysis, and production workloads. وهو خيار عملي عندما تكون الجودة والسرعة والتكلفة مهمة، خصوصًا للفرق التي تحتاج إلى مخرجات ثابتة ونشر مرن ومساحة للتوسع.

Input

$0.62/1M

Output

$0.62/1M

Cached

$0.05/1M

Batch

$0.25/1M

Calculate your WizardLM-2 8x22B bill.

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What would WizardLM-2 8x22B cost you?

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Technical specifications

WizardLM-2 8x22B at a glance.

Memory

65,535

tokens

Max reply

8,000

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

mistral

Released

Apr 2024

Training cutoff

Jan 2024

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • mt_bench

    9.1

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick WizardLM-2 8x22B

  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.

FAQ

WizardLM-2 8x22B — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, WizardLM-2 8x22B costs roughly $71 per month. Input is $0.62 /1M tokens and output is $0.62 /1M tokens.
WizardLM-2 8x22B has a 65,535-token context window (medium memory — a long report or a codebase file). That means you can fit about 12,288 words of input and history in a single call.
Beyond text generation, WizardLM-2 8x22B supports calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
WizardLM-2 8x22B was released in April 2024, with training data cut off around January 2024.
Models in a similar class include Phi 4, Kimi K2 Thinking, GPT Audio Mini. The "Similar models" section below this FAQ links into each.

Still unsure?

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