💰 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 GPT-5 74.9% SWE-bench · 95.8% HumanEval
🧠 STEM Reasoning Winner GPT-5 85.4% GPQA · 98% MATH-500

Which model is better: GPT-5 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 (190ms faster than GPT-5) with 160 vs. 105 tok/s throughput. GPT-5 leads coding evaluations at 74.9% SWE-bench Verified vs. 54.0% for Grok 3 Mini and 85.4% 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 GPT-5 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 $0.625 $0.080 Grok 3 Mini is 7.8x cheaper
Prompt Cache Write / 1M $2.50 $0.30 Grok 3 Mini is 8.3x cheaper
Context Window (Max Output) 410k (128k out) 131k (16k out) GPT-5 (3.1x larger context)
Avg TTFT Response Latency 340ms 150ms Grok 3 Mini (190ms faster)
Generation Speed (Throughput) 105 tok/s 160 tok/s Grok 3 Mini (+55 tok/s faster)
SWE-bench Verified (Coding) 74.9% 54% GPT-5 (+20.9% lead)
GPQA Diamond (PhD STEM) 85.4% 68% GPT-5 (+17.4% lead)
MMLU-Pro (Multi-Discipline) 90.8% 80% GPT-5 (+10.8% lead)
MATH-500 (Quantitative Logic) 98% 87% GPT-5 (+11.0% lead)
Inference Value Score (IVR) 59.2 / 100 69.2 / 100 Grok 3 Mini (+10 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-5 $89.06

$2.50/1M in · $10.00/1M out

Prompt Cache: $0.625/1M 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
$78.31 / mo
(87.9% lower cost with Grok 3 Mini)
Open Full Matchup Analysis →
A

When to Choose GPT-5

Choose GPT-5 (OpenAI) for complex enterprise automation, full-stack software engineering, multimodal agent orchestration, and scientific synthesis — offering a 409k context window, 340ms TTFT, and $2.50/1M input pricing ($0.625/1M 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-5 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-5.

Which model has lower TTFT latency and higher tok/s throughput: GPT-5 or Grok 3 Mini?

Grok 3 Mini delivers faster first-token latency at 150ms TTFT (160 tok/s throughput) compared to 340ms TTFT (105 tok/s) for GPT-5.

How do GPT-5 and Grok 3 Mini compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, GPT-5 scores 74.9% versus 54% for Grok 3 Mini. On GPQA Diamond graduate-level STEM reasoning, GPT-5 scores 85.4% versus 68% for Grok 3 Mini (and 98% vs 87% on MATH-500).

When should you choose GPT-5?

Choose GPT-5 (OpenAI) for complex enterprise automation, full-stack software engineering, multimodal agent orchestration, and scientific synthesis — offering a 409k context window, 340ms TTFT, and $2.50/1M input pricing ($0.625/1M 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