Mixtral 8x7B

Released
2023-12-11
Last refreshed
2026-10-09
Status
Researched 209d ago
Open sourceCommercial use: permittedCodingClassification
MistralAI releases · 25 in the last 12 monthsChangelog →
Specifications
Family
Mixtral
Released
2023-12-11
Context
32K
Parameters
8x7B
Architecture
Mixture of Experts
Knowledge cutoff
2023-12
Specialization
general
Openness
Open source
License
Apache 2.0OSI-approvedPermitted
Weights
Unknown
Code
Unknown
Training
Fine-tuned
Created by

Enterprise AI solutions for trust and transparency.

Paris, France
Founded 2023
Website
Pricing
Output / 1M
$0.200
Input / 1M
$0.200

Cheapest of 10 routes · SiliconFlow

About

Mixtral 8x7B, developed by Mistral AI, features a cutting-edge Mixture of Experts (MoE) architecture, utilizing eight experts with seven billion parameters each, yielding a total of 46.7 billion parameters. This architecture activates only two experts per token, allowing for efficient processing and a 6x faster inference rate compared to Llama 2 70B. The model excels in performance, surpassing Llama 2 70B and competing with GPT-3.5 on numerous benchmarks. It supports multiple languages and can handle context up to 32,000 tokens, enhancing understanding of lengthy text.

Top use-case fit: coding, agents, and build tasks

Coding

Q/$ A

Classification

Q/$ B

Providers(10)

Compare all 10

Compare API pricing across 10 tracked provider routes for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
SiliconFlow$0.200$0.200
Serverless
Microsoft Foundry$0.270$0.270
Provisioned
Fireworks AI$0.500$0.500
Serverless
Bitdeer AI$0.180$0.540
Serverless
Replicate API$0.200$1.00
Serverless
Vultr$0.550$2.75
Serverless
Alibaba Cloud PAI-EAS--
ServerlessPartial
Baseten API--
ServerlessPartial
IBM watsonx--
ServerlessPartial
Scale AI GenAI Platform--
ServerlessPartial

Deprecated provider routes(8)

ProviderStatusCatalog ID
Databricks Foundation Model Serving
DeprecatedRetired February 27, 2026
—
NVIDIA NIM
DeprecatedRetired July 27, 2026
—
GCP Vertex AI
Deprecated
—
AWS Bedrock
Deprecated
—
OctoAI API (Deprecated)
Deprecated
—
Mistral AI Studio
DeprecatedRetired March 30, 2025
open-mixtral-8x7b
Lepton AI API
Deprecated
—
DeepInfra
DeprecatedRetired May 7, 2026
—

Available via routers & gateways(16)

LiteLLM

Gateway

Open-source Python SDK and proxy server that unifies 100+ LLM APIs behind a single OpenAI-compatible interface, with load balancing, cost tracking, and configurable failover.

Free OSSGCP Vertex AIMicrosoft FoundryMistral AI Studio

OpenRouter

Hybrid

Unified hybrid gateway to 500+ models from 80+ providers via a single OpenAI-compatible API, with an optional Auto Router that selects a model per prompt from market spend data.

Passthrough + feeGCP Vertex AIMistral AI StudioFireworks AI

Portkey

Gateway

Production AI gateway routing to 1,600+ LLMs with failover, load balancing, caching, and guardrails; MIT-licensed open-source core is self-hostable. Now part of Palo Alto Networks as Prisma AIRS AI Gateway.

SubscriptionGCP Vertex AIMicrosoft FoundryMistral AI Studio

AIRouter

Router

Commercial LLM router (branded "AI Router" on its site) that picks the best model per request via a Decision API or an OpenAI-compatible Chat Completions endpoint, with a private selection mode that routes on anonymized patterns; sold as BYOK subscription plans priced by routed tokens.

SubscriptionGCP Vertex AIMistral AI Studio

Amazon Bedrock Intelligent Prompt Routing

Router

AWS Bedrock's native prompt router that predicts each model's performance per request and routes between two models of the same family (Anthropic Claude, Meta Llama or Amazon Nova).

Passthrough + feeAWS Bedrock

Azure AI Foundry Model Router

Router

Microsoft Azure AI Foundry's native model router that uses a trained ML model to route each prompt in real time to the optimal Azure-hosted model, with Balanced/Cost/Quality mode selection and automatic failover.

Passthrough + feeMicrosoft Foundry

Capabilities

No model capability flags are currently sourced.

Benchmark peer barsfor Coding

Benchmark scores(4)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionEvaluationSource
54.8diamondObserved 2026-03-06—
90.910-shotObserved 2026-03-06—
80.5pass@1Observed 2026-03-06—
80.25-shotObserved 2026-03-06—

Migration checks

No linked migration route is available for this model yet.

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