WizardLM-2 8x22B — Microsoft | Modeldex

WizardLM-2 8x22B

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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...

Updated 4 days agoStructured data from Modeldex catalog

Budget

Knowledge cutoff

Apr 30, 2024(2.0 years ago)

API release

Apr 16, 2024(2.0 years ago)

Not enough benchmark coverage yet for an Intelligence Index — needs at least 3 results across 2 categories.

Overview

History

WizardLM-2 8x22B became available via the Microsoft API on 2024-04-16.

Training & availability

Training data has a knowledge cutoff of 2024-04-30 — information about events after that date is unlikely to appear in the model's responses. Microsoft has not released the underlying model weights — access is via their hosted API only.

Capabilities

Context window: 65K tokens.
Input modalities: text.

Recommended for: cheap.

Limitations

The knowledge cutoff is 23 months old — this model will not know about recent events, releases, or API changes.
The context window (65K tokens) is modest by 2026 standards — unsuitable for processing long documents in a single request.
Text-only — cannot process images, audio, or video inputs.

Pricing

Input: $0.6200 per 1M tokens
Output: $0.6200 per 1M tokens

Use the cost calculator above to estimate monthly spend for your workload.

Quick start

Minimal example using the OpenRouter API. Copy, paste, replace the key.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="sk-or-...",
)
resp = client.chat.completions.create(
    model="microsoft/wizardlm-2-8x22b",
    messages=[{"role": "user", "content": "Explain quantum computing in one sentence."}],
)
print(resp.choices[0].message.content)

Cost calculator

Estimate your monthly bill. Presets are typical workload sizes.

Input tokens / month5.0M

@ $0.62/1M

Output tokens / month2.0M

@ $0.62/1M

Input cost

$3.1

5.0M × $0.62/1M

Output cost

$1.24

2.0M × $0.62/1M

Total / month

$4.34

$52.08 / year

Providers & performance

1 provider

Multi-provider inference routes for this model — sorted by throughput. Latency is time-to-first-token; throughput is output tokens per second. Data from OpenRouter, measured over the last 30 minutes.

Provider	Throughput	Latency (TTFT)	Input $ / 1M	Output $ / 1M	Context	Quant	Supports
Novita	10tok/s	965ms	$0.62	$0.62	66K	bf16	—

Integrations & tooling support

Tool calling: Not supported
Structured outputs: Not supported

Price vs quality

Budget pricing

Priced low — good for high-volume tasks. Quality tier pending more benchmark coverage.