💰 Unit Cost Winner GPT-4o Mini $0.15/1M in · $0.60/1M 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: GPT-4o Mini or Grok 3 Mini?

GPT-4o Mini is 50.0% cheaper for input tokens ($0.15 vs. $0.30 per 1M tokens) and $0.60 vs. $1.20 for output tokens (2.0x cost advantage). In terms of operational performance, Grok 3 Mini delivers lower response latency at 150ms TTFT (70ms faster than GPT-4o Mini) with 160 vs. 140 tok/s throughput. Grok 3 Mini leads coding evaluations at 54.0% SWE-bench Verified vs. 41.0% for GPT-4o Mini and 68.0% vs. 40.2% 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 GPT-4o Mini Grok 3 Mini Net Delta / Advantage
Input Cost / 1M Tokens $0.15 $0.30 GPT-4o Mini is 2.0x cheaper
Output Cost / 1M Tokens $0.60 $1.20 GPT-4o Mini (50.0% lower)
Prompt Cache Read / 1M $0.075 $0.080 GPT-4o Mini is 1.1x cheaper
Prompt Cache Write / 1M $0.15 $0.30 GPT-4o Mini is 2.0x cheaper
Context Window (Max Output) 131k (16k out) 131k (16k out) Equal Context Window
Avg TTFT Response Latency 220ms 150ms Grok 3 Mini (70ms faster)
Generation Speed (Throughput) 140 tok/s 160 tok/s Grok 3 Mini (+20 tok/s faster)
SWE-bench Verified (Coding) 41% 54% Grok 3 Mini (+13.0% lead)
GPQA Diamond (PhD STEM) 40.2% 68% Grok 3 Mini (+27.8% lead)
MMLU-Pro (Multi-Discipline) 68% 80% Grok 3 Mini (+12.0% lead)
MATH-500 (Quantitative Logic) 70.2% 87% Grok 3 Mini (+16.8% lead)
Inference Value Score (IVR) 67.2 / 100 69.2 / 100 Grok 3 Mini (+2 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

GPT-4o Mini $5.81

$0.15/1M in · $0.60/1M out

Prompt Cache: $0.075/1M read · $0.15/1M 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
$4.94 / mo
(45.9% lower cost with GPT-4o Mini)
Open Full Matchup Analysis →
A

When to Choose GPT-4o Mini

Choose GPT-4o Mini (OpenAI) for high-volume classification, lightweight RAG chatbots, and structured JSON extraction — offering a 131k context window, 220ms TTFT, and $0.15/1M input pricing ($0.075/1M 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: GPT-4o Mini or Grok 3 Mini?

GPT-4o Mini is cheaper at $0.15/1M input tokens ($0.60/1M output) compared to $0.30/1M input ($1.20/1M output) for Grok 3 Mini.

Which model has lower TTFT latency and higher tok/s throughput: GPT-4o Mini or Grok 3 Mini?

Grok 3 Mini delivers faster first-token latency at 150ms TTFT (160 tok/s throughput) compared to 220ms TTFT (140 tok/s) for GPT-4o Mini.

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

On SWE-bench Verified software engineering, GPT-4o Mini scores 41% versus 54% for Grok 3 Mini. On GPQA Diamond graduate-level STEM reasoning, GPT-4o Mini scores 40.2% versus 68% for Grok 3 Mini (and 70.2% vs 87% on MATH-500).

When should you choose GPT-4o Mini?

Choose GPT-4o Mini (OpenAI) for high-volume classification, lightweight RAG chatbots, and structured JSON extraction — offering a 131k context window, 220ms TTFT, and $0.15/1M input pricing ($0.075/1M 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