💰 Unit Cost Winner Grok 4 $2.50/1M in · $12.50/1M out
⚡ Latency & Speed Winner Grok 4 480ms TTFT · 95 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 or Grok 4?

Grok 4 is 16.7% cheaper for input tokens ($2.50 vs. $3.00 per 1M tokens) and $12.50 vs. $15.00 for output tokens (1.2x cost advantage). In terms of operational performance, Grok 4 delivers lower response latency at 480ms TTFT (140ms faster than Grok 3) with 95 vs. 88 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 65.8% for Grok 3 and 86.2% vs. 84.6% 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 Grok 4 Net Delta / Advantage
Input Cost / 1M Tokens $3.00 $2.50 Grok 4 is 1.2x cheaper
Output Cost / 1M Tokens $15.00 $12.50 Grok 4 (16.7% lower)
Prompt Cache Read / 1M $0.750 $0.500 Grok 4 is 1.5x cheaper
Prompt Cache Write / 1M $3.00 $2.50 Grok 4 is 1.2x cheaper
Context Window (Max Output) 134k (16k out) 262k (66k out) Grok 4 (2.0x larger context)
Avg TTFT Response Latency 620ms 480ms Grok 4 (140ms faster)
Generation Speed (Throughput) 88 tok/s 95 tok/s Grok 4 (+7 tok/s faster)
SWE-bench Verified (Coding) 65.8% 73.2% Grok 4 (+7.4% lead)
GPQA Diamond (PhD STEM) 84.6% 86.2% Grok 4 (+1.6% lead)
MMLU-Pro (Multi-Discipline) 80% 89.9% Grok 4 (+9.9% lead)
MATH-500 (Quantitative Logic) 89.8% 97.6% Grok 4 (+7.8% lead)
Inference Value Score (IVR) 52.7 / 100 57.6 / 100 Grok 4 (+4.9 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 $121.88

$3.00/1M in · $15.00/1M out

Prompt Cache: $0.750/1M read · $3.00/1M 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
$21.88 / mo
(17.9% lower cost with Grok 4)
Open Full Matchup Analysis →
A

When to 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).

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 or Grok 4?

Grok 4 is cheaper at $2.50/1M input tokens ($12.50/1M 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 Grok 4?

Grok 4 delivers faster first-token latency at 480ms TTFT (95 tok/s throughput) compared to 620ms TTFT (88 tok/s) for Grok 3.

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

On SWE-bench Verified software engineering, Grok 3 scores 65.8% versus 73.2% for Grok 4. On GPQA Diamond graduate-level STEM reasoning, Grok 3 scores 84.6% versus 86.2% for Grok 4 (and 89.8% vs 97.6% 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 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).

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