Mixtral 8x22B Instruct — Mistral AI | Modeldex

Mixtral 8x22B Instruct

Active

Mistral's official instruct fine-tuned version of [Mixtral 8x22B](/models/mistralai/mixtral-8x22b). It uses 39B active parameters out of 141B, offering unparalleled cost efficiency for its size. Its strengths include: - strong math, coding,...

Updated 4 days agoStructured data from Modeldex catalog

Knowledge cutoff

Jan 31, 2024(2.2 years ago)

API release

Apr 17, 2024(2.0 years ago)

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

Overview

History

Mixtral 8x22B Instruct became available via the Mistral AI API on 2024-04-17.

Training & availability

Training data has a knowledge cutoff of 2024-01-31 — information about events after that date is unlikely to appear in the model's responses. Mistral AI has not released the underlying model weights — access is via their hosted API only.

Capabilities

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

Limitations

The knowledge cutoff is 26 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: $2.0000 per 1M tokens
Output: $6.0000 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="mistral/mixtral-8x22b-instruct",
    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

@ $2/1M

Output tokens / month2.0M

@ $6/1M

Input cost

$10

5.0M × $2/1M

Output cost

$12

2.0M × $6/1M

Total / month

$22

$264 / 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
Mistral	101tok/s	446ms	$2	$6	66K	—	tools · json

Popularity

Signals from open-source communities — not a quality measure, but useful for gauging adoption among developers.

🤗

HuggingFace downloads

27.2K/ month

HuggingFace likes

748

Integrations & tooling support

Tool calling: Not supported
Structured outputs: Not supported

Price vs quality

Mid-tier pricing

Standard pricing band. Quality tier pending more benchmark coverage.

Quality percentile: —
Effective price: $5/1M
Pricing breakdown: $2/1M in
$6/1M out

Community ratings

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