Which model is better: Grok 4 or Mistral Large 2 (2411)?
Mistral Large 2 (2411) is 20.0% cheaper for input tokens ($2.00 vs. $2.50 per 1M tokens) and $6.00 vs. $12.50 for output tokens (1.2x cost advantage). In terms of operational performance, Mistral Large 2 (2411) delivers lower response latency at 380ms TTFT (100ms faster than Grok 4) with 75 vs. 95 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 45.2% for Mistral Large 2 (2411) and 86.2% 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 4
Mistral Large 2 (2411)
Net Delta / Advantage
Input Cost / 1M Tokens
$2.50
$2.00
Mistral Large 2 (2411) is 1.3x cheaper
Output Cost / 1M Tokens
$12.50
$6.00
Mistral Large 2 (2411) (52.0% lower)
Prompt Cache Read / 1M
$0.500
$0.200
Mistral Large 2 (2411) is 2.5x cheaper
Prompt Cache Write / 1M
$2.50
$2.00
Mistral Large 2 (2411) is 1.3x cheaper
Context Window (Max Output)
262k (66k out)
131k (8k out)
Grok 4 (2.0x larger context)
Avg TTFT Response Latency
480ms
380ms
Mistral Large 2 (2411) (100ms faster)
Generation Speed (Throughput)
95 tok/s
75 tok/s
Grok 4 (+20 tok/s faster)
SWE-bench Verified (Coding)
73.2%
45.2%
Grok 4 (+28.0% lead)
GPQA Diamond (PhD STEM)
86.2%
54.2%
Grok 4 (+32.0% lead)
MMLU-Pro (Multi-Discipline)
89.9%
74.8%
Grok 4 (+15.1% lead)
MATH-500 (Quantitative Logic)
97.6%
76.5%
Grok 4 (+21.1% lead)
Inference Value Score (IVR)
57.6 / 100
50.1 / 100
Grok 4 (+7.5 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
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 4 or Mistral Large 2 (2411)?
Mistral Large 2 (2411) is cheaper at $2.00/1M input tokens ($6.00/1M output) compared to $2.50/1M input ($12.50/1M output) for Grok 4.
Which model has lower TTFT latency and higher tok/s throughput: Grok 4 or Mistral Large 2 (2411)?
Mistral Large 2 (2411) delivers faster first-token latency at 380ms TTFT (75 tok/s throughput) compared to 480ms TTFT (95 tok/s) for Grok 4.
How do Grok 4 and Mistral Large 2 (2411) compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Grok 4 scores 73.2% versus 45.2% for Mistral Large 2 (2411). On GPQA Diamond graduate-level STEM reasoning, Grok 4 scores 86.2% versus 54.2% for Mistral Large 2 (2411) (and 97.6% vs 76.5% on MATH-500).
When should you choose Grok 4?
Choose Grok 4 (xAI) for real-time financial/market intelligence, PhD-level STEM problem solving, and autonomous code generation — offering a 262k context window, 480ms TTFT, and $2.50/1M input pricing ($0.500/1M 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).
