💰 Unit Cost Winner Grok 4 $2.50/1M in · $12.50/1M out
⚡ Latency & Speed Winner Grok 4 480ms TTFT · 95 tok/s
💻 Coding (SWE) Winner Grok 4 73.2% SWE-bench · 95% HumanEval
🧠 STEM Reasoning Winner Grok 4 86.2% GPQA · 97.6% MATH-500

Which model is better: Grok 4 or o1?

Grok 4 is 83.3% cheaper for input tokens ($2.50 vs. $15.00 per 1M tokens) and $12.50 vs. $60.00 for output tokens (6.0x cost advantage). In terms of operational performance, Grok 4 delivers lower response latency at 480ms TTFT (2120ms faster than o1) with 95 vs. 48 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 48.9% for o1 and 86.2% vs. 78.0% 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 4 o1 Net Delta / Advantage
Input Cost / 1M Tokens $2.50 $15.00 Grok 4 is 6.0x cheaper
Output Cost / 1M Tokens $12.50 $60.00 Grok 4 (79.2% lower)
Prompt Cache Read / 1M $0.500 $7.500 Grok 4 is 15.0x cheaper
Prompt Cache Write / 1M $2.50 $15.00 Grok 4 is 6.0x cheaper
Context Window (Max Output) 262k (66k out) 205k (100k out) Grok 4 (1.3x larger context)
Avg TTFT Response Latency 480ms 2600ms Grok 4 (2120ms faster)
Generation Speed (Throughput) 95 tok/s 48 tok/s Grok 4 (+47 tok/s faster)
SWE-bench Verified (Coding) 73.2% 48.9% Grok 4 (+24.3% lead)
GPQA Diamond (PhD STEM) 86.2% 78% Grok 4 (+8.2% lead)
MMLU-Pro (Multi-Discipline) 89.9% 83.3% Grok 4 (+6.6% lead)
MATH-500 (Quantitative Logic) 97.6% 96.4% Grok 4 (+1.2% lead)
Inference Value Score (IVR) 57.6 / 100 37.2 / 100 Grok 4 (+20.4 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 4 $100.00

$2.50/1M in · $12.50/1M out

Prompt Cache: $0.500/1M read · $2.50/1M write

o1 $581.25

$15.00/1M in · $60.00/1M out

Prompt Cache: $7.500/1M read · $15.00/1M write

Projected Monthly Cost Reduction
$481.25 / mo
(82.8% lower cost with Grok 4)
Open Full Matchup Analysis →
A

When to Choose Grok 4

Choose Grok 4 (xAI) for real-time financial/market intelligence, PhD-level STEM problem solving, and autonomous code generation — offering a 262k context window, 480ms TTFT, and $2.50/1M input pricing ($0.500/1M cached reads).

B

When to Choose o1

Choose o1 (OpenAI) for legacy reasoning benchmarks, scientific literature review, and complex mathematical proofs — offering a 204k context window, 2600ms TTFT, and $15.00/1M input pricing ($7.500/1M cached reads).

Related Questions & Decision Factors

Which is cheaper: Grok 4 or o1?

Grok 4 is cheaper at $2.50/1M input tokens ($12.50/1M output) compared to $15.00/1M input ($60.00/1M output) for o1.

Which model has lower TTFT latency and higher tok/s throughput: Grok 4 or o1?

Grok 4 delivers faster first-token latency at 480ms TTFT (95 tok/s throughput) compared to 2600ms TTFT (48 tok/s) for o1.

How do Grok 4 and o1 compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, Grok 4 scores 73.2% versus 48.9% for o1. On GPQA Diamond graduate-level STEM reasoning, Grok 4 scores 86.2% versus 78% for o1 (and 97.6% vs 96.4% on MATH-500).

When should you choose Grok 4?

Choose Grok 4 (xAI) for real-time financial/market intelligence, PhD-level STEM problem solving, and autonomous code generation — offering a 262k context window, 480ms TTFT, and $2.50/1M input pricing ($0.500/1M cached reads).

When should you choose o1?

Choose o1 (OpenAI) for legacy reasoning benchmarks, scientific literature review, and complex mathematical proofs — offering a 204k context window, 2600ms TTFT, and $15.00/1M input pricing ($7.500/1M cached reads).

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