Which model is better: Grok 3 or Mistral Large 2 (2411)?
Mistral Large 2 (2411) is 33.3% cheaper for input tokens ($2.00 vs. $3.00 per 1M tokens) and $6.00 vs. $15.00 for output tokens (1.5x cost advantage). In terms of operational performance, Mistral Large 2 (2411) delivers lower response latency at 380ms TTFT (240ms faster than Grok 3) with 75 vs. 88 tok/s throughput. Grok 3 leads coding evaluations at 65.8% SWE-bench Verified vs. 45.2% for Mistral Large 2 (2411) and 84.6% vs. 54.2% on GPQA Diamond.
Verified daily via automated API latency tests and official documentation.
Zero-Shot RAG Verified
Verified Performance & Unit Economics Delta (12 Dimensions)
Daily synchronized metrics across token pricing, prompt cache economics, latency, throughput, and 5 capability benchmarks.
Metric / Dimension
Grok 3
Mistral Large 2 (2411)
Net Delta / Advantage
Input Cost / 1M Tokens
$3.00
$2.00
Mistral Large 2 (2411) is 1.5x cheaper
Output Cost / 1M Tokens
$15.00
$6.00
Mistral Large 2 (2411) (60.0% lower)
Prompt Cache Read / 1M
$0.750
$0.200
Mistral Large 2 (2411) is 3.8x cheaper
Prompt Cache Write / 1M
$3.00
$2.00
Mistral Large 2 (2411) is 1.5x cheaper
Context Window (Max Output)
134k (16k out)
131k (8k out)
Grok 3 (1.0x larger context)
Avg TTFT Response Latency
620ms
380ms
Mistral Large 2 (2411) (240ms faster)
Generation Speed (Throughput)
88 tok/s
75 tok/s
Grok 3 (+13 tok/s faster)
SWE-bench Verified (Coding)
65.8%
45.2%
Grok 3 (+20.6% lead)
GPQA Diamond (PhD STEM)
84.6%
54.2%
Grok 3 (+30.4% lead)
MMLU-Pro (Multi-Discipline)
80%
74.8%
Grok 3 (+5.2% lead)
MATH-500 (Quantitative Logic)
89.8%
76.5%
Grok 3 (+13.3% lead)
Inference Value Score (IVR)
52.7 / 100
50.1 / 100
Grok 3 (+2.6 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose Grok 3 (xAI) for massive compute foundation model specialized in PhD-level science reasoning, real-time data analysis, and enterprise logic — offering a 134k context window, 620ms TTFT, and $3.00/1M input pricing ($0.750/1M cached reads).
Choose Mistral Large 2 (2411) (Mistral AI) for sovereign enterprise multilingual flagship tuned for reasoning, strict JSON schemas, and European regulatory compliance — offering a 131k context window, 380ms TTFT, and $2.00/1M input pricing ($0.200/1M cached reads).
Which is cheaper: Grok 3 or Mistral Large 2 (2411)?
Mistral Large 2 (2411) is cheaper at $2.00/1M input tokens ($6.00/1M output) compared to $3.00/1M input ($15.00/1M output) for Grok 3.
Which model has lower TTFT latency and higher tok/s throughput: Grok 3 or Mistral Large 2 (2411)?
Mistral Large 2 (2411) delivers faster first-token latency at 380ms TTFT (75 tok/s throughput) compared to 620ms TTFT (88 tok/s) for Grok 3.
How do Grok 3 and Mistral Large 2 (2411) compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Grok 3 scores 65.8% versus 45.2% for Mistral Large 2 (2411). On GPQA Diamond graduate-level STEM reasoning, Grok 3 scores 84.6% versus 54.2% for Mistral Large 2 (2411) (and 89.8% vs 76.5% on MATH-500).
When should you choose Grok 3?
Choose Grok 3 (xAI) for massive compute foundation model specialized in PhD-level science reasoning, real-time data analysis, and enterprise logic — offering a 134k context window, 620ms TTFT, and $3.00/1M input pricing ($0.750/1M cached reads).
When should you choose Mistral Large 2 (2411)?
Choose Mistral Large 2 (2411) (Mistral AI) for sovereign enterprise multilingual flagship tuned for reasoning, strict JSON schemas, and European regulatory compliance — offering a 131k context window, 380ms TTFT, and $2.00/1M input pricing ($0.200/1M cached reads).
