💰 Unit Cost Winner Grok 3 $3.00/1M in · $15.00/1M out
⚡ Latency & Speed Winner Grok 3 620ms TTFT · 88 tok/s
💻 Coding (SWE) Winner Grok 3 65.8% SWE-bench · 91.5% HumanEval
🧠 STEM Reasoning Winner Grok 3 84.6% GPQA · 89.8% MATH-500

Which model is better: Grok 3 or o1?

Grok 3 is 80.0% cheaper for input tokens ($3.00 vs. $15.00 per 1M tokens) and $15.00 vs. $60.00 for output tokens (5.0x cost advantage). In terms of operational performance, Grok 3 delivers lower response latency at 620ms TTFT (1980ms faster than o1) with 88 vs. 48 tok/s throughput. Grok 3 leads coding evaluations at 65.8% SWE-bench Verified vs. 48.9% for o1 and 84.6% 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 3 o1 Net Delta / Advantage
Input Cost / 1M Tokens $3.00 $15.00 Grok 3 is 5.0x cheaper
Output Cost / 1M Tokens $15.00 $60.00 Grok 3 (75.0% lower)
Prompt Cache Read / 1M $0.750 $7.500 Grok 3 is 10.0x cheaper
Prompt Cache Write / 1M $3.00 $15.00 Grok 3 is 5.0x cheaper
Context Window (Max Output) 134k (16k out) 205k (100k out) o1 (1.5x larger context)
Avg TTFT Response Latency 620ms 2600ms Grok 3 (1980ms faster)
Generation Speed (Throughput) 88 tok/s 48 tok/s Grok 3 (+40 tok/s faster)
SWE-bench Verified (Coding) 65.8% 48.9% Grok 3 (+16.9% lead)
GPQA Diamond (PhD STEM) 84.6% 78% Grok 3 (+6.6% lead)
MMLU-Pro (Multi-Discipline) 80% 83.3% o1 (+3.3% lead)
MATH-500 (Quantitative Logic) 89.8% 96.4% o1 (+6.6% lead)
Inference Value Score (IVR) 52.7 / 100 37.2 / 100 Grok 3 (+15.5 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 $121.88

$3.00/1M in · $15.00/1M out

Prompt Cache: $0.750/1M read · $3.00/1M 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
$459.38 / mo
(79.0% lower cost with Grok 3)
Open Full Matchup Analysis →
A

When to Choose Grok 3

Choose Grok 3 (xAI) for massive compute foundation model specialized in PhD-level science reasoning, real-time data analysis, and enterprise logic — offering a 134k context window, 620ms TTFT, and $3.00/1M input pricing ($0.750/1M 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 3 or o1?

Grok 3 is cheaper at $3.00/1M input tokens ($15.00/1M 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 3 or o1?

Grok 3 delivers faster first-token latency at 620ms TTFT (88 tok/s throughput) compared to 2600ms TTFT (48 tok/s) for o1.

How do Grok 3 and o1 compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, Grok 3 scores 65.8% versus 48.9% for o1. On GPQA Diamond graduate-level STEM reasoning, Grok 3 scores 84.6% versus 78% for o1 (and 89.8% vs 96.4% on MATH-500).

When should you choose Grok 3?

Choose Grok 3 (xAI) for massive compute foundation model specialized in PhD-level science reasoning, real-time data analysis, and enterprise logic — offering a 134k context window, 620ms TTFT, and $3.00/1M input pricing ($0.750/1M 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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