💰 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 65.8% SWE-bench · 91.5% HumanEval
🧠 STEM Reasoning Winner Grok 3 84.6% GPQA · 89.8% MATH-500

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

Grok 3 Mini is 90.0% cheaper for input tokens ($0.30 vs. $3.00 per 1M tokens) and $1.20 vs. $15.00 for output tokens (10.0x cost advantage). In terms of operational performance, Grok 3 Mini delivers lower response latency at 150ms TTFT (470ms faster than Grok 3) with 160 vs. 88 tok/s throughput. Grok 3 leads coding evaluations at 65.8% SWE-bench Verified vs. 54.0% for Grok 3 Mini and 84.6% 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 Grok 3 Mini Net Delta / Advantage
Input Cost / 1M Tokens $3.00 $0.30 Grok 3 Mini is 10.0x cheaper
Output Cost / 1M Tokens $15.00 $1.20 Grok 3 Mini (92.0% lower)
Prompt Cache Read / 1M $0.750 $0.080 Grok 3 Mini is 9.4x cheaper
Prompt Cache Write / 1M $3.00 $0.30 Grok 3 Mini is 10.0x cheaper
Context Window (Max Output) 134k (16k out) 131k (16k out) Grok 3 (1.0x larger context)
Avg TTFT Response Latency 620ms 150ms Grok 3 Mini (470ms faster)
Generation Speed (Throughput) 88 tok/s 160 tok/s Grok 3 Mini (+72 tok/s faster)
SWE-bench Verified (Coding) 65.8% 54% Grok 3 (+11.8% lead)
GPQA Diamond (PhD STEM) 84.6% 68% Grok 3 (+16.6% lead)
MMLU-Pro (Multi-Discipline) 80% 80% Comparable Score
MATH-500 (Quantitative Logic) 89.8% 87% Grok 3 (+2.8% lead)
Inference Value Score (IVR) 52.7 / 100 69.2 / 100 Grok 3 Mini (+16.5 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 3 Mini $10.75

$0.30/1M in · $1.20/1M out

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

Projected Monthly Cost Reduction
$111.13 / mo
(91.2% lower cost with Grok 3 Mini)
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 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).

Related Questions & Decision Factors

Which is cheaper: Grok 3 or Grok 3 Mini?

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

Grok 3 Mini delivers faster first-token latency at 150ms TTFT (160 tok/s throughput) compared to 620ms TTFT (88 tok/s) for Grok 3.

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

On SWE-bench Verified software engineering, Grok 3 scores 65.8% versus 54% for Grok 3 Mini. On GPQA Diamond graduate-level STEM reasoning, Grok 3 scores 84.6% versus 68% for Grok 3 Mini (and 89.8% vs 87% 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 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).

Explore High-Priority Related Model Matchups