💰 Unit Cost Winner Grok 3 Mini $0.30/1M in · $1.20/1M out
⚡ Latency & Speed Winner Grok 3 Mini 150ms TTFT · 160 tok/s
💻 Coding (SWE) Winner Grok 3 Mini 54% SWE-bench · 90% HumanEval
🧠 STEM Reasoning Winner Grok 3 Mini 68% GPQA · 87% MATH-500

Which model is better: Grok 3 Mini or Mistral Large 2 (2411)?

Grok 3 Mini is 85.0% cheaper for input tokens ($0.30 vs. $2.00 per 1M tokens) and $1.20 vs. $6.00 for output tokens (6.7x cost advantage). In terms of operational performance, Grok 3 Mini delivers lower response latency at 150ms TTFT (230ms faster than Mistral Large 2 (2411)) with 160 vs. 75 tok/s throughput. Grok 3 Mini leads coding evaluations at 54.0% SWE-bench Verified vs. 45.2% for Mistral Large 2 (2411) and 68.0% vs. 54.2% on GPQA Diamond.
Verified daily via automated API latency tests and official documentation.

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 Mini Mistral Large 2 (2411) Net Delta / Advantage
Input Cost / 1M Tokens $0.30 $2.00 Grok 3 Mini is 6.7x cheaper
Output Cost / 1M Tokens $1.20 $6.00 Grok 3 Mini (80.0% lower)
Prompt Cache Read / 1M $0.080 $0.200 Grok 3 Mini is 2.5x cheaper
Prompt Cache Write / 1M $0.30 $2.00 Grok 3 Mini is 6.7x cheaper
Context Window (Max Output) 131k (16k out) 131k (8k out) Equal Context Window
Avg TTFT Response Latency 150ms 380ms Grok 3 Mini (230ms faster)
Generation Speed (Throughput) 160 tok/s 75 tok/s Grok 3 Mini (+85 tok/s faster)
SWE-bench Verified (Coding) 54% 45.2% Grok 3 Mini (+8.8% lead)
GPQA Diamond (PhD STEM) 68% 54.2% Grok 3 Mini (+13.8% lead)
MMLU-Pro (Multi-Discipline) 80% 74.8% Grok 3 Mini (+5.2% lead)
MATH-500 (Quantitative Logic) 87% 76.5% Grok 3 Mini (+10.5% lead)
Inference Value Score (IVR) 69.2 / 100 50.1 / 100 Grok 3 Mini (+19.1 pts)

Interactive Monthly Token Economics & ROI Forecaster

Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.

25.0M Tokens
500K 50M 250M 500M+
5.0M Tokens
100K 25M 75M 150M+
50% Cached
0% (Uncached) 25% 50% (Typical Agent) 95% Max

Estimated Monthly Spend

Grok 3 Mini $10.75

$0.30/1M in · $1.20/1M out

Prompt Cache: $0.080/1M read · $0.30/1M write

Mistral Large 2 (2411) $57.50

$2.00/1M in · $6.00/1M out

Prompt Cache: $0.200/1M read · $2.00/1M write

Projected Monthly Cost Reduction
$46.75 / mo
(81.3% lower cost with Grok 3 Mini)
Open Full Matchup Analysis →
A

When to Choose Grok 3 Mini

Choose Grok 3 Mini (xAI) for high-speed reasoning model providing rapid answers and code generation with chain-of-thought capabilities at edge pricing — offering a 131k context window, 150ms TTFT, and $0.30/1M input pricing ($0.080/1M cached reads).

B

When to 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).

Related Questions & Decision Factors

Which is cheaper: Grok 3 Mini or Mistral Large 2 (2411)?

Grok 3 Mini is cheaper at $0.30/1M input tokens ($1.20/1M output) compared to $2.00/1M input ($6.00/1M output) for Mistral Large 2 (2411).

Which model has lower TTFT latency and higher tok/s throughput: Grok 3 Mini or Mistral Large 2 (2411)?

Grok 3 Mini delivers faster first-token latency at 150ms TTFT (160 tok/s throughput) compared to 380ms TTFT (75 tok/s) for Mistral Large 2 (2411).

How do Grok 3 Mini and Mistral Large 2 (2411) compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, Grok 3 Mini scores 54% versus 45.2% for Mistral Large 2 (2411). On GPQA Diamond graduate-level STEM reasoning, Grok 3 Mini scores 68% versus 54.2% for Mistral Large 2 (2411) (and 87% vs 76.5% on MATH-500).

When should you choose Grok 3 Mini?

Choose Grok 3 Mini (xAI) for high-speed reasoning model providing rapid answers and code generation with chain-of-thought capabilities at edge pricing — offering a 131k context window, 150ms TTFT, and $0.30/1M input pricing ($0.080/1M 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).

Explore High-Priority Related Model Matchups