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ModelCap

Mixtral 8x22B Instruct

Arena #335Official publisher releaseOpen weights7d #307 → #300

Mistral AI·#300 of 352 on the current board·cheaper than #279 Command R+ (08-2024)

Mixtral 8x22B Instruct is a language model from Mistral AI. It ranks #300 of 352 on ModelCap's current board, with an Index score of 15.4, measured on 2 public benchmarks. Its score range of 10.4–20.4 spans positions #288–#334. It is listed at $2.00 per million input tokens and $6.00 per million output tokens from one provider. It reads up to 66K tokens of context, and its weights are openly downloadable.

Figures as of 6 Nov 2026, 13:52 UTC · download the public dataset · methodology

ModelCap Index · Current board
15.4#300
Measured on 2 public benchmarks · range 10.4–20.4
Evidence as of 28 Oct 2026, 00:00 UTC
Market Gravity
12.5
Secondary market signal
Input
$2.00
per 1M tokens
Output
$6.00
per 1M tokens
Context
66K
tokens
Providers
1
2 endpoints

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
MistralzdrCheapest$2.00$6.0066K——
Mistraleu$2.20$6.6066K——

Reported evaluation leads (40)

Not independent measurement

Structured rows reported in this exact model repository at the pinned revision below. They are the publisher talking about itself: never measured evidence, never a score input on their own. They remain quarantined until dataset revision, harness, configuration and identity pass ModelCap’s independent admission review.

Dataset / taskMetricValueRevisionProvenance
facebook/multiloko
average_em
—10.1
Unpinned
not published
Reported
Quarantined
facebook/multiloko
gap_em
—39.2
Unpinned
not published
Reported
Quarantined
facebook/multiloko
mother_tongue_effect
—-5.41
Unpinned
not published
Reported
Quarantined
facebook/multiloko
average_contains
—19.06
Unpinned
not published
Reported
Quarantined
facebook/multiloko
gap_contains
—50.8
Unpinned
not published
Reported
Quarantined
facebook/multiloko
em_arabic
—4.8
Unpinned
not published
Reported
Quarantined
facebook/multiloko
em_bengali
—6
Unpinned
not published
Reported
Quarantined
facebook/multiloko
em_cantonese
—3.2
Unpinned
not published
Reported
Quarantined
facebook/multiloko
em_czech
—10
Unpinned
not published
Reported
Quarantined
facebook/multiloko
em_dutch
—22.8
Unpinned
not published
Reported
Quarantined
facebook/multiloko
em_english
—39.2
Unpinned
not published
Reported
Quarantined
facebook/multiloko
em_farsi
—0
Unpinned
not published
Reported
Quarantined
facebook/multiloko
em_french
—17.2
Unpinned
not published
Reported
Quarantined
facebook/multiloko
em_german
—20.4
Unpinned
not published
Reported
Quarantined
facebook/multiloko
em_hebrew
—4.8
Unpinned
not published
Reported
Quarantined
facebook/multiloko
em_hindi
—4
Unpinned
not published
Reported
Quarantined
facebook/multiloko
em_indonesian
—8.8
Unpinned
not published
Reported
Quarantined
facebook/multiloko
em_italian
—8.4
Unpinned
not published
Reported
Quarantined
facebook/multiloko
em_japanese
—5.6
Unpinned
not published
Reported
Quarantined
facebook/multiloko
em_khmer
—0
Unpinned
not published
Reported
Quarantined

Showing 20 of 40 rows.

ModelCap Index · Current board

Methodology
15.4
Measured on 2 public benchmarks
Current board
#300 of 352
Score range
10.4–20.4
Rank range
#288–#334
Evidence as of
28 Oct 2026, 00:00 UTC
Benchmarks used
Arena Coding, Arena Overall
Technical details
Public rank basis
Measured (measured)
Evidence label
Measured · 2 public benchmark observations across 2 boards
Index support
62.4% · strong
Identity binding
Exact catalogue product · mistralai/mistralai/mixtral-8x22b-instruct · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata mistralai/Mixtral-8x22B-Instruct-v0.1@cc88a6cc19fbd17d9f1c0ee0b0d70a748dce698d (not the evaluation revision)
Index observations used
2
Qualified Index evidence point
15.4
Bayesian Evidence Score · measured evidence input only

BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.

Observed capability
15.4
Evidence status
confirmed · 77% mass
General preference
15.1
Coding
17.2
Agents & tools
—
Reasoning
—
Evidence breadth
92%
Evidence coverage
62%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
2.3
Liquidity (providers × uptime)
24.3
Open reach (HF downloads)
33.6
Surface (context / tools / modalities)
55.2
Freshness
2.9
  • · OpenRouter popularity #297
  • · 1 live provider
  • · HF 30d downloads 38412
  • · Catalogue: context 65536, tools, modalities Text/File
  • · First seen 2024-04-17

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

BES evidence selected · measured input only

The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.

Deployment readiness

Metadata index
84.6
strong · 98% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
100.0
Deployability
80.0
Evaluation provenance
52.9

Not yet published: pinned evaluation dataset versions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
12.5
OpenRouter weekly popularity
#297 of 339

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

Status
Ranked
Source
LMArena
Official rank
#335 of 419
Rating
1229.7
95% confidence interval
1225–1234
Votes
51K
Source published at
28 Oct 2026, 00:00 UTC
Category
overall
Identity match confidence
99%

Market Gravity breakdown

Usage55%
2.3

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
24.3

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
33.6

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
2.9

Time since first public availability, on a six-month half-life.

Specification

Model ID
mistralai/mixtral-8x22b-instruct
Context window
66K tokens
Declared output cap
52K tokens

OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata

Inputs
Text, File
Outputs
Text
Tokenizer
Mistral
Cached input tokens
$0.20 / 1M
First seen on OpenRouter
17 Apr 2024
Knowledge cutoff
2024-01-31

Capabilities

  • Not supported: Reasoning
  • Supported: Tool use
  • Supported: Structured output
  • Supported: Response format
  • Not supported: Moderated

Weights & access

Open weights. Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI.

Access
Open weights
Licence
apache-2.0
Pinned revision
cc88a6cc19fb
Parameters
140.6B
Architecture
MixtralForCausalLM
Model type
mixtral
Hugging Face downloads (30d)
38K
Downloads (all time)
6.4M
Likes
780
Repository updated
24 Jul 2025, 16:41 UTC

Compare Mixtral 8x22B Instruct with

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Benchmark leaderboards featuring Mixtral 8x22B Instruct

All leaderboards
Public benchmark boards on which Mixtral 8x22B Instruct has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena text leaderboardArena (LMArena)12301225–1234#335 of 419Not reported28 Oct 2026
Arena coding leaderboardArena (LMArena)12781269–1286#326 of 414Default28 Oct 2026

Alternatives to Mixtral 8x22B Instruct, by the numbers

Ranked neighbours

Models within 3 places of #300 on the ModelCap Index.

Cheaper at a similar or higher Index

Index score within 3 points of, or above, this model's, with a lower listed blended price (3:1 input:output).

Other ranked Mistral AI models

The same publisher's other current models with a public Index position.

Mixtral 8x22B Instruct: common questions

How does Mixtral 8x22B Instruct rank among AI models?

Mixtral 8x22B Instruct holds ModelCap Index position #300 of 352 ranked language models as of 6 November 2026, with an Index score of 15.4 (interval 10.4–20.4); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does Mixtral 8x22B Instruct cost per 1M tokens?

Mixtral 8x22B Instruct is listed at $2.00 per 1M input tokens and $6.00 per 1M output tokens as of 6 November 2026. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $7.00 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.

What is the context window of Mixtral 8x22B Instruct?

Mixtral 8x22B Instruct has a published context window of 66K tokens (65,536). The snapshot lists a 52,428 token catalogue-declared route output cap. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. The providers table lists each endpoint's context limit.

Is Mixtral 8x22B Instruct open-weight?

Open weights (apache-2.0). Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI. The repository is mistralai/Mixtral-8x22B-Instruct-v0.1 on Hugging Face.

Which API providers serve Mixtral 8x22B Instruct?

One provider serves Mixtral 8x22B Instruct through OpenRouter as of 6 November 2026: Mistral. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has Mixtral 8x22B Instruct been evaluated on?

Mixtral 8x22B Instruct has published results on 2 public boards tracked by ModelCap as of 6 November 2026: Arena text 1230 (#335 of 419) and Arena coding 1278 (#326 of 414). Each board page ranks every tracked model on that benchmark. The ModelCap Index scores the results its methodology admits, with published uncertainty, and shows reference boards without scoring them.

How does Mixtral 8x22B Instruct compare with Mistral 7B Instruct v0.2?

Mixtral 8x22B Instruct ranks #300 (Index 15.4) and Mistral 7B Instruct v0.2 ranks #341 (Index 6.9) on the ModelCap Index as of 6 November 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was Mixtral 8x22B Instruct released?

Mixtral 8x22B Instruct first appeared in the catalogue on 17 Apr 2024, with a published knowledge cutoff of 2024-01-31. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.