whichllmmodel
Back to Dashboard
Mistral AI

Mixtral 8x22B v0.1

VS
xAI

Grok 4.3

✍️ Analysis by:the whichllmmodel Editorial Team|📅 Updated: June 2026

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, Grok 4.3 is the premium intelligence choice, scoring 0.0% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Mixtral 8x22B v0.1 is 1.0x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Mixtral 8x22B v0.1 offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of Grok 4.3 fully justifies the cost.

Model Specs

Mixtral 8x22B v0.1

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)
N/A

Cost & Performance

Cost (per 1M tokens)
N/AInput: N/A | Output: N/A
Speed
200 tps
Context Window
65.54k tokens
Model Specs

Grok 4.3

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)Winner (+)
90.1%

Cost & Performance

Cost (per 1M tokens)
$1.56Input: $1.25 | Output: $2.50
Speed
209 tps
Context WindowLarger
1M tokens
Read our data collection methodology

Frequently Asked Questions

Pricing data is currently unavailable for one or both of these models, so a direct cost comparison cannot be determined.

Grok 4.3 is faster than Mixtral 8x22B v0.1. Grok 4.3 generates 209 tokens per second (tps) compared to Mixtral 8x22B v0.1 which generates 200 tokens per second.

Coding benchmark scores are not currently recorded for these models.

Want to customize weights or add more models?

Open our interactive dashboard where you can adjust your priority levels for speed, budget, or accuracy slider-bars and watch model rankings calculate dynamically.

Customize in Interactive Dashboard