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Grok 4.20 vs Mixtral 8x22B

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 Grok 4.20 and Mixtral 8x22B.

xAI

Grok 4.20

Grok 4.20 is xAI's most advanced reasoning model, combining powerful analytical capabilities with unique real-time integration to the X (formerly Twitter) platform data stream. This live data access allows Grok 4.20 to answer queries with up-to-the-minute context, making it invaluable for financial analysis, current events research, and real-time market monitoring. Exceptionally strong in physics, advanced mathematics, and code synthesis, it operates with a 2-million-token context window and is priced at $1.25/MTok for input โ€” delivering frontier-tier reasoning at a highly competitive cost for developers building intelligent agents and analytical tools.

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Mistral

Mixtral 8x22B

Mixtral 8x22B is Mistral AI's open-weight Mixture-of-Experts model, activating only 39B of its 141B total parameters per token to deliver frontier-level performance at inference costs comparable to a much smaller dense model. Released under the Apache 2.0 license, Mixtral 8x22B is one of the most capable fully open-weight models available, with strong multilingual performance, robust coding ability, and efficient fine-tuning via LoRA. It is widely deployed across self-hosted infrastructure, including Ollama, vLLM, and Hugging Face TGI.

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Technical Specifications

SpecificationGrok 4.20Mixtral 8x22B
ProviderxAIMistral
Context Window2,000,000 tokens65,536 tokens
Agent Suitability90/10087/100
Time to First Token (TTFT)350 ms320 ms
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-05-052024-12-11

API Pricing Comparison

Input Price per Million Tokens

Grok 4.20

$1.25

Mixtral 8x22B

$0.50

Output Price per Million Tokens

Grok 4.20

$2.50

Mixtral 8x22B

$1.00

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.

MMLUGeneral knowledge & multi-task understanding
9470.0%vsN/A
Grok 4.20
Mixtral 8x22B
HumanEvalPython coding & logic synthesis
9700.0%vsN/A
Grok 4.20
Mixtral 8x22B
MATHComplex mathematical problem solving
9380.0%vsN/A
Grok 4.20
Mixtral 8x22B
GPQAGraduate-level expert reasoning
8490.0%vsN/A
Grok 4.20
Mixtral 8x22B
HellaSwagCommonsense reasoning and inference
9880.0%vsN/A
Grok 4.20
Mixtral 8x22B
MT-BenchMulti-turn conversation flow quality
970.0%vsN/A
Grok 4.20
Mixtral 8x22B

Grok 4.20 Quirks & Gotchas

  • โ–ธReal-time X data access โ€” unparalleled for current events / financial analysis
  • โ–ธTool calling API is still maturing โ€” test thoroughly for production agentic use

Mixtral 8x22B Quirks & Gotchas

  • โ–ธMoE architecture โ€” efficient inference for its capability tier
  • โ–ธRequires ~90GB VRAM at FP16 โ€” 4-bit quantization recommended for single-GPU deployment