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Mistral AI

Mixtral 8x22B Instruct balancedruns locally

mistral/mixtral-8x22b

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,...

Input / 1M

$2.00

USD per million tokens

Output / 1M

$6.00

USD per million tokens

Est. cost / token

$0.000003

$3.00 per 1M, 3:1 mix

Context window

66K

max output 52K

Major features

Open weightsCachingJSON schemaTools

Task suitability (heuristic 1–5, not a benchmark)

  • coding4
  • reasoning3
  • math3
  • summarization4
  • extraction4
  • classification4
  • chat4
  • creative4
  • translation4
  • vision1
  • long context2
  • agentic4

Run it locally

Will it run on my machine? →
ollama run mixtral:8x22b
QuantizationQualityMemory needed (8K ctx)
Q2_Kpoor66.2 GB
Q3_K_Mfair76.5 GB
Q4_K_Mrecommendedgood94.7 GB
Q5_K_Mvery good109 GB
Q6_Kexcellent126 GB
Q8_0near-lossless161 GB
F16lossless300 GB

Estimates. Mixture-of-experts: memory covers all parameters; only the active ones are used per token, so it runs faster than its size suggests.

Price history

RecordedInputOutputCachedSource
2026-11-05 03:20$2.00$6.00$0.20openrouter

A row is added whenever a sync detects a price change. Vendor pricing source

Pricing (USD per 1M tokens)

Input
$2.00
Output
$6.00
Cached input
$0.20
Blended (3:1)
$3.00

Details

Company
Mistral AI
Version
—
Family
Mixtral
Released
2024-04-17
Parameters
141B (39B active)
Max output
52K
Open weights
Yes
Inputs
file, text
Last synced
31 min ago