Microsoft Wizardlm 2.8x22b

DeepInfra chat

Microsoft Wizardlm 2.8x22b is a DeepInfra chat model.It supports a 65,536-token context windowwith up to 65,536 output tokens.Input is priced at $0.480/M tokens and output at $0.480/M tokens. Route Microsoft Wizardlm 2.8x22b via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.

Pricing source: litellm Last verified: May 12, 2026 View source ↗
Cost calculator

Estimate Microsoft Wizardlm 2.8x22b spend

Pick a workload, fine-tune the sliders, and see the monthly bill.

~3K in / ~400 out · 5K req/day
3,000
065,536
400
065,536
5,000
01,000,000
Per request
$0.001632
in $0.001440 · out $0.000192
Per day
$8.16
5,000 requests
Per month
$248
152,188 requests

Estimate uses $0.4800/M input · $0.4800/M output. Provider pricing changes. Production costs vary with retries, streaming overhead, and tool-call rounds.
Want this for free? Cache + route via Agent Command Center — first 100K requests and 100K cache hits free every month.

Pricing

Per-token rates, expressed in USD per 1M tokens. Verified May 12, 2026.

Input $0.480/M
Output $0.480/M

Limits

Context window
65,536 tokens
Max input
65,536 tokens
Max output
65,536 tokens
Modalities
text

Capabilities

  • Function calling — not advertised
  • Parallel tool calls — not advertised
  • Vision input — not advertised
  • Audio input — not advertised
  • Audio output — not advertised
  • PDF input — not advertised
  • Streaming ✓ supported
  • Structured output — not advertised
  • Prompt caching — not advertised
  • Reasoning — not advertised

Where it's strong

Watch out for

  • !agentic workflows — no advertised function-calling; use a tool-capable model and route via Agent Command Center for fallback
  • !strict structured output — no JSON-schema enforcement, expect retry loops

Benchmarks pending

We haven't logged public benchmark scores for Microsoft Wizardlm 2.8x22b yet. Have one to contribute? Submit a source — citations help us prioritise.

Try it

Call Microsoft Wizardlm 2.8x22b via Agent Command Center

One OpenAI-compatible endpoint. Routing, fallback, semantic caching, guardrails, and cost tracking come along for the ride. First 100K requests + 100K cache hits free every month.

SDK
Native Future AGI client (agentcc / @agentcc/client). Per-call metadata — provider, cost, latency, cache hit, request id — is returned on x-agentcc-* response headers, so any HTTP client can read it.
# Microsoft Wizardlm 2.8x22b via the Agent Command Center Python SDK
# pip install agentcc
import os
from agentcc import AgentCC

client = AgentCC(
    api_key=os.environ["AGENTCC_API_KEY"],   # from app.futureagi.com → Settings → API Keys
    base_url="https://gateway.futureagi.com/v1",
)

resp = client.chat.completions.create(
    model="deepinfra/microsoft-wizardlm-2-8x22b",
    messages=[{"role": "user", "content": "Hello, Microsoft Wizardlm 2.8x22b!"}],
)

print(resp.choices[0].message.content)
print(f"Tokens: {resp.usage.total_tokens}")

# Per-call gateway metadata is returned on x-agentcc-* response headers.
# When you need it programmatically, use .with_raw_response to get them:
raw = client.chat.completions.with_raw_response.create(
    model="deepinfra/microsoft-wizardlm-2-8x22b",
    messages=[{"role": "user", "content": "Same call, but I want the headers."}],
)
print("Provider:", raw.headers.get("x-agentcc-provider"))
print("Latency:", raw.headers.get("x-agentcc-latency-ms"), "ms")
print("Cost:   ", raw.headers.get("x-agentcc-cost"), "USD")
print("Cache:  ", raw.headers.get("x-agentcc-cache"))
Set AGENTCC_API_KEY with a key fromapp.futureagi.com.Gateway docs ↗

Same model on other providers

microsoft-wizardlm-2-8x22b is also available via 1 other route. Pricing, regions, and capabilities can differ — compare before routing production traffic.

ProviderInput / 1MOutput / 1MVerified
Novita AI$0.620/M$0.620/MMay 12, 2026

Compare with similar models

Microsoft Wizardlm 2.8x22b doesn't have a public Arena ELO score yet, so we group by provider only — quality-tier comparisons need a benchmark.

FAQ

How much does Microsoft Wizardlm 2.8x22b cost?

Input is priced at $0.480 per 1M tokens and output at $0.480 per 1M tokens (DeepInfra, last verified May 12, 2026).

What is the context window of Microsoft Wizardlm 2.8x22b?

Microsoft Wizardlm 2.8x22b supports a 65,536-token context window with up to 65,536 output tokens.

Does Microsoft Wizardlm 2.8x22b support function calling?

Microsoft Wizardlm 2.8x22b does not currently advertise function-calling support. For agentic workloads, prefer a tool-calling-capable model and route via Agent Command Center for fallback.

Is Microsoft Wizardlm 2.8x22b good for production?

Microsoft Wizardlm 2.8x22b is best evaluated against your own production traces. Pipe traffic through Agent Command Center to compare it head-to-head against alternatives in shadow mode.

How can I route to Microsoft Wizardlm 2.8x22b with fallback?

Use Agent Command Center: a single OpenAI-compatible endpoint that supports cost-optimized routing, latency-aware retries, model fallback, and shadow traffic. Configure once, swap models without app changes.

Useful links for Microsoft Wizardlm 2.8x22b

Official sources, independent benchmarks, and pricing aggregators — no random search-engine guesses.