💰 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 4 73.2% SWE-bench · 95% HumanEval
🧠 STEM Reasoning Winner Grok 4 86.2% GPQA · 97.6% MATH-500

Which model is better: Grok 3 Mini or Grok 4?

Grok 3 Mini is 88.0% cheaper for input tokens ($0.30 vs. $2.50 per 1M tokens) and $1.20 vs. $12.50 for output tokens (8.3x cost advantage). In terms of operational performance, Grok 3 Mini delivers lower response latency at 150ms TTFT (330ms faster than Grok 4) with 160 vs. 95 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 54.0% for Grok 3 Mini and 86.2% vs. 68.0% 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 Grok 4 Net Delta / Advantage
Input Cost / 1M Tokens $0.30 $2.50 Grok 3 Mini is 8.3x cheaper
Output Cost / 1M Tokens $1.20 $12.50 Grok 3 Mini (90.4% lower)
Prompt Cache Read / 1M $0.080 $0.500 Grok 3 Mini is 6.3x cheaper
Prompt Cache Write / 1M $0.30 $2.50 Grok 3 Mini is 8.3x cheaper
Context Window (Max Output) 131k (16k out) 262k (66k out) Grok 4 (2.0x larger context)
Avg TTFT Response Latency 150ms 480ms Grok 3 Mini (330ms faster)
Generation Speed (Throughput) 160 tok/s 95 tok/s Grok 3 Mini (+65 tok/s faster)
SWE-bench Verified (Coding) 54% 73.2% Grok 4 (+19.2% lead)
GPQA Diamond (PhD STEM) 68% 86.2% Grok 4 (+18.2% lead)
MMLU-Pro (Multi-Discipline) 80% 89.9% Grok 4 (+9.9% lead)
MATH-500 (Quantitative Logic) 87% 97.6% Grok 4 (+10.6% lead)
Inference Value Score (IVR) 69.2 / 100 57.6 / 100 Grok 3 Mini (+11.6 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

Grok 4 $100.00

$2.50/1M in · $12.50/1M out

Prompt Cache: $0.500/1M read · $2.50/1M write

Projected Monthly Cost Reduction
$89.25 / mo
(89.3% 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 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).

Related Questions & Decision Factors

Which is cheaper: Grok 3 Mini or Grok 4?

Grok 3 Mini is cheaper at $0.30/1M input tokens ($1.20/1M 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 3 Mini or Grok 4?

Grok 3 Mini delivers faster first-token latency at 150ms TTFT (160 tok/s throughput) compared to 480ms TTFT (95 tok/s) for Grok 4.

How do Grok 3 Mini and Grok 4 compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, Grok 3 Mini scores 54% versus 73.2% for Grok 4. On GPQA Diamond graduate-level STEM reasoning, Grok 3 Mini scores 68% versus 86.2% for Grok 4 (and 87% vs 97.6% 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 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).

Explore High-Priority Related Model Matchups