💰 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 OpenAI o4-mini 68.1% SWE-bench · 94% HumanEval
🧠 STEM Reasoning Winner OpenAI o4-mini 81.4% GPQA · 97.8% MATH-500

Which model is better: Grok 3 Mini or OpenAI o4-mini?

Grok 3 Mini is 72.7% cheaper for input tokens ($0.30 vs. $1.10 per 1M tokens) and $1.20 vs. $4.40 for output tokens (3.7x cost advantage). In terms of operational performance, Grok 3 Mini delivers lower response latency at 150ms TTFT (530ms faster than OpenAI o4-mini) with 160 vs. 125 tok/s throughput. OpenAI o4-mini leads coding evaluations at 68.1% SWE-bench Verified vs. 54.0% for Grok 3 Mini and 81.4% 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 OpenAI o4-mini Net Delta / Advantage
Input Cost / 1M Tokens $0.30 $1.10 Grok 3 Mini is 3.7x cheaper
Output Cost / 1M Tokens $1.20 $4.40 Grok 3 Mini (72.7% lower)
Prompt Cache Read / 1M $0.080 $0.275 Grok 3 Mini is 3.4x cheaper
Prompt Cache Write / 1M $0.30 $1.10 Grok 3 Mini is 3.7x cheaper
Context Window (Max Output) 131k (16k out) 205k (100k out) OpenAI o4-mini (1.6x larger context)
Avg TTFT Response Latency 150ms 680ms Grok 3 Mini (530ms faster)
Generation Speed (Throughput) 160 tok/s 125 tok/s Grok 3 Mini (+35 tok/s faster)
SWE-bench Verified (Coding) 54% 68.1% OpenAI o4-mini (+14.1% lead)
GPQA Diamond (PhD STEM) 68% 81.4% OpenAI o4-mini (+13.4% lead)
MMLU-Pro (Multi-Discipline) 80% 85.6% OpenAI o4-mini (+5.6% lead)
MATH-500 (Quantitative Logic) 87% 97.8% OpenAI o4-mini (+10.8% lead)
Inference Value Score (IVR) 69.2 / 100 63.7 / 100 Grok 3 Mini (+5.5 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 Mini $10.75

$0.30/1M in · $1.20/1M out

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

OpenAI o4-mini $39.19

$1.10/1M in · $4.40/1M out

Prompt Cache: $0.275/1M read · $1.10/1M write

Projected Monthly Cost Reduction
$28.44 / mo
(72.6% 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 OpenAI o4-mini

Choose OpenAI o4-mini (OpenAI) for automated PR review, high-volume agentic coding loops, SQL/data analysis, and visual document reasoning — offering a 204k context window, 680ms TTFT, and $1.10/1M input pricing ($0.275/1M cached reads).

Related Questions & Decision Factors

Which is cheaper: Grok 3 Mini or OpenAI o4-mini?

Grok 3 Mini is cheaper at $0.30/1M input tokens ($1.20/1M output) compared to $1.10/1M input ($4.40/1M output) for OpenAI o4-mini.

Which model has lower TTFT latency and higher tok/s throughput: Grok 3 Mini or OpenAI o4-mini?

Grok 3 Mini delivers faster first-token latency at 150ms TTFT (160 tok/s throughput) compared to 680ms TTFT (125 tok/s) for OpenAI o4-mini.

How do Grok 3 Mini and OpenAI o4-mini compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, Grok 3 Mini scores 54% versus 68.1% for OpenAI o4-mini. On GPQA Diamond graduate-level STEM reasoning, Grok 3 Mini scores 68% versus 81.4% for OpenAI o4-mini (and 87% vs 97.8% 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 OpenAI o4-mini?

Choose OpenAI o4-mini (OpenAI) for automated PR review, high-volume agentic coding loops, SQL/data analysis, and visual document reasoning — offering a 204k context window, 680ms TTFT, and $1.10/1M input pricing ($0.275/1M cached reads).

Explore High-Priority Related Model Matchups