โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Kimi K2 0711 vs Mixtral 8x22B Instruct

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Kimi K2 0711 and Mixtral 8x22B Instruct.

Moonshot AI

Kimi K2 0711

Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. It is optimized for...

View Full Specs
Mistral

Mixtral 8x22B Instruct

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,...

View Full Specs

Technical Specifications

SpecificationKimi K2 0711Mixtral 8x22B Instruct
ProviderMoonshot AIMistral
Context Window131,072 tokens65,536 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-07-112024-04-17

API Pricing Comparison

Input Price per Million Tokens

Kimi K2 0711

$0.57

Mixtral 8x22B Instruct

$2.00

Output Price per Million Tokens

Kimi K2 0711

$2.30

Mixtral 8x22B Instruct

$6.00

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

Kimi K2 0711 Quirks & Gotchas

No developer gotchas reported.

Mixtral 8x22B Instruct Quirks & Gotchas

No developer gotchas reported.