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Mixtral 8x22B

Open source
Self-hostable
Free to run
Mistral
Open license
text
MixtralReleased 3y ago
Avg score
21.2
/ 100 · not enough data for the index
Context
66k
Output limit
4k
Input price
$2.00 /M
Output price
$6.00 /M
Parameters
140.6B · 44B active
Est. VRAM (Q4)
~84.4 GB

Price from the model maker's own API, verified 8h ago · cached input $0.20 /M

Benchmarks

preference

Chatbot Arena EloFresh
Elo

Crowdsourced pairwise human preference rankings of LLM responses. Higher Elo means more frequently preferred by users.

knowledge

MMLU ProHigh risk
%

Harder version of MMLU testing knowledge across 57 academic subjects; reduces guessing-friendly answers.

reasoning

GPQA DiamondSome risk
%

Graduate-level Google-proof Q&A in physics, chemistry, and biology. Diamond subset is the hardest tier with PhD-validated answers.

math

MATH-500Saturated
%

500 high-school competition math problems requiring multi-step solutions. Scored on final-answer correctness.

AIME 2024High risk
%

American Invitational Mathematics Examination 2024 problems. Three-digit integer answers; very hard for non-reasoning models.

coding

HumanEvalSaturated
% pass@1

164 hand-written Python programming problems scored by passing unit tests. Saturated for frontier models.

instruction following

IFEvalSome risk
%

Verifiable instruction-following benchmark; 25 categories of strict formatting / structural directives.

long context

RULER 128kFresh
%

Long-context retrieval and reasoning suite. We report the 128k token effective-context score.

performance

Output SpeedN/A
tok/s

Median output speed in tokens per second over the last 14 days on the model maker's own API, measured nightly with a fixed ~800-token prompt and ~250-token answer. Models not yet probed fall back to a dated manual figure. Higher is faster.

Time to First TokenN/A
ms

Median time from request to first streamed token in milliseconds over the last 14 days on the model maker's own API, using the same nightly probe prompt. Lower is snappier; reasoning models are penalised here because they think before talking.

composite

Frontier CompositeFresh
ECI

Saturation-resistant composite capability score stitched together from ~40 underlying benchmarks using Item Response Theory. Each benchmark is weighted by its fitted difficulty and discriminative slope, so doing well on hard, contamination-resistant evals (FrontierMath, ARC-AGI 2, Humanity's Last Exam) moves the score and saturated benchmarks contribute almost nothing. Imported per-model from Epoch AI's published index; we anchor it to the same min-max scale we use for every other benchmark so it's directly weightable in scenarios.

reliability

API Success RateN/A
%

Share of nightly probe requests over the last 14 days that streamed a complete answer without an error, timeout or empty response. Needs at least five attempts before a figure is shown.

Reliability monitor

Loading drift signal…

Hosted endpoints

HostInput $/MOutput $/MContextSpeedTTFTUptime 24hQuant
Host 42maker's API$2.00$6.0066k131 tok/s0.61 s100.0%unknown
Host 40maker's API$2.00$6.0066k——100.0%unknown
Host 41maker's API$2.20$6.6066k———unknown
Anonymised third-party hosts. Sorted by lowest output price. Speed and time to first token are medians from our nightly probe where measured; uptime is the catalog's 24-hour figure.

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