💰 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 Mini 54% SWE-bench · 90% HumanEval
🧠 STEM Reasoning Winner Grok 3 Mini 68% GPQA · 87% MATH-500

Which model is better: GPT-4o or Grok 3 Mini?

Grok 3 Mini is 88.0% cheaper for input tokens ($0.30 vs. $2.50 per 1M tokens) and $1.20 vs. $10.00 for output tokens (8.3x cost advantage). In terms of operational performance, Grok 3 Mini delivers lower response latency at 150ms TTFT (130ms faster than GPT-4o) with 160 vs. 100 tok/s throughput. Grok 3 Mini leads coding evaluations at 54.0% SWE-bench Verified vs. 48.0% for GPT-4o and 68.0% vs. 53.6% 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 GPT-4o Grok 3 Mini Net Delta / Advantage
Input Cost / 1M Tokens $2.50 $0.30 Grok 3 Mini is 8.3x cheaper
Output Cost / 1M Tokens $10.00 $1.20 Grok 3 Mini (88.0% lower)
Prompt Cache Read / 1M $1.250 $0.080 Grok 3 Mini is 15.6x cheaper
Prompt Cache Write / 1M $2.50 $0.30 Grok 3 Mini is 8.3x cheaper
Context Window (Max Output) 131k (16k out) 131k (16k out) Equal Context Window
Avg TTFT Response Latency 280ms 150ms Grok 3 Mini (130ms faster)
Generation Speed (Throughput) 100 tok/s 160 tok/s Grok 3 Mini (+60 tok/s faster)
SWE-bench Verified (Coding) 48% 54% Grok 3 Mini (+6.0% lead)
GPQA Diamond (PhD STEM) 53.6% 68% Grok 3 Mini (+14.4% lead)
MMLU-Pro (Multi-Discipline) 75.9% 80% Grok 3 Mini (+4.1% lead)
MATH-500 (Quantitative Logic) 76.6% 87% Grok 3 Mini (+10.4% lead)
Inference Value Score (IVR) 47.6 / 100 69.2 / 100 Grok 3 Mini (+21.6 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

GPT-4o $96.88

$2.50/1M in · $10.00/1M out

Prompt Cache: $1.250/1M read · $2.50/1M 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
$86.13 / mo
(88.9% lower cost with Grok 3 Mini)
Open Full Matchup Analysis →
A

When to Choose GPT-4o

Choose GPT-4o (OpenAI) for general enterprise assistants, multimodal customer support, and structured JSON output pipelines — offering a 131k context window, 280ms TTFT, and $2.50/1M input pricing ($1.250/1M 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 or Grok 3 Mini?

Grok 3 Mini is cheaper at $0.30/1M input tokens ($1.20/1M output) compared to $2.50/1M input ($10.00/1M output) for GPT-4o.

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

Grok 3 Mini delivers faster first-token latency at 150ms TTFT (160 tok/s throughput) compared to 280ms TTFT (100 tok/s) for GPT-4o.

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

On SWE-bench Verified software engineering, GPT-4o scores 48% versus 54% for Grok 3 Mini. On GPQA Diamond graduate-level STEM reasoning, GPT-4o scores 53.6% versus 68% for Grok 3 Mini (and 76.6% vs 87% on MATH-500).

When should you choose GPT-4o?

Choose GPT-4o (OpenAI) for general enterprise assistants, multimodal customer support, and structured JSON output pipelines — offering a 131k context window, 280ms TTFT, and $2.50/1M input pricing ($1.250/1M 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