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ModelCap

Mixtral 8x22B Instruct

Current board #216Arena #318Official publisher releaseOpen weights7d #188 → #216

Mistral AI·mistralai/mixtral-8x22b-instruct

Mixtral 8x22B Instruct is ModelCap current-board rank #216 with Index 10.4 (Measured), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.

Mixtral 8x22B Instruct listed OpenRouter input price is $2.00 per 1M tokens and listed output price is $6.00 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.

Mixtral 8x22B Instruct has a published context limit of 66K tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.

Mixtral 8x22B Instruct has 3 published OpenRouter serving endpoints, from OpenRouter as of 22 Sept 2026, 02:49 UTC.

Mixtral 8x22B Instruct weight access is open weights, from ModelCap classification of published repository metadata as of 22 Sept 2026, 02:49 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
10.4#216
Measured · 62% support · score interval 5.4–15.4
Evidence as of 13 Sept 2026, 00:00 UTC
Market Gravity
10.3Decreased by 0.2
Secondary market signal
Input
$2.00
per 1M tokens
Output
$6.00
per 1M tokens
Context
66K
tokens
Providers
3
endpoints
Gateway spend
latest · Vercel share

Providers

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

Reported evaluation leads (1)

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
TIGER-Lab/MMLU-Pro
mmlu_pro
56.33
Unpinned
not published
Reported
Quarantined

ModelCap Index · Current board

Methodology
10.4
Measured · 2 public benchmark observations across 2 boards
Current board
#216
Public rank basis
Measured (measured)
Index support
62.4% · strong
Index interval
5.4–15.4
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
13 Sept 2026, 00:00 UTC
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
10.4
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
10.4
Evidence status
confirmed · 77% mass
General preference
10.3
Coding
11.2
Agents & tools
Reasoning
Evidence breadth
92%
Evidence coverage
62%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
2.1
Liquidity (providers × uptime)
20.3
Open reach (HF downloads)
26.4
Surface (context / tools / modalities)
55.2
Freshness
3.4
  • · OpenRouter popularity #286
  • · 1 live provider
  • · HF 30d downloads 27981
  • · 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

Missing: evaluationProvenance.evaluation-dataset-revisions.

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

Market activity

Venue coverage
Market Gravity
10.3
OpenRouter weekly popularity
#286 of 322

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
#318 of 402
Rating
1229.3
95% confidence interval
1225–1234
Votes
51K
Source published at
13 Sept 2026, 00:00 UTC
Category
overall
Identity match confidence
99%

Market Gravity breakdown

Usage55%
2.1

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
20.3

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

Open reach15%
26.4

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

Freshness5%
3.4

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

Specification

Context window
66K tokens
Max output
52K tokens
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)
28K
Downloads (all time)
6.3M
Likes
757
Repository updated
24 Jul 2025, 16:41 UTC

Compare Mixtral 8x22B Instruct with

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Benchmark leaderboards featuring Mixtral 8x22B Instruct

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Public benchmark boards on which Mixtral 8x22B Instruct has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena coding leaderboardArena (LMArena)12781269–1286#309 of 397Default13 Sept 2026

Alternatives to Mixtral 8x22B Instruct, by the numbers

Ranked neighbours

Models within 3 places of #216 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 #216 of 248 ranked language models as of 22 September 2026, with an Index score of 10.4 (interval 5.4–15.4); 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 22 September 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) and a maximum output of 52K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own 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 22 September 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 1 public board tracked by ModelCap as of 22 September 2026: Arena coding 1278 (#309 of 397). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

How does Mixtral 8x22B Instruct compare with Llama 3.1 Tulu 3 8B?

Mixtral 8x22B Instruct ranks #216 (Index 10.4) and Llama 3.1 Tulu 3 8B ranks #217 (Index 9.8) on the ModelCap Index as of 22 September 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.