Gemini 2.5 Pro is 58.3% cheaper for input tokens ($1.25 vs. $3.00 per 1M tokens) and $10.00 vs. $15.00 for output tokens (2.4x cost advantage). In terms of operational performance, Grok 3 delivers lower response latency at 620ms TTFT (80ms faster than Gemini 2.5 Pro) with 88 vs. 80 tok/s throughput. Grok 3 leads coding evaluations at 65.8% SWE-bench Verified vs. 63.8% for Gemini 2.5 Pro and 84.6% vs. 74.0% on GPQA Diamond.
Verified daily via automated API latency tests and official documentation.
Zero-Shot RAG Verified
Verified Performance & Unit Economics Delta (12 Dimensions)
Daily synchronized metrics across token pricing, prompt cache economics, latency, throughput, and 5 capability benchmarks.
Metric / Dimension
Gemini 2.5 Pro
Grok 3
Net Delta / Advantage
Input Cost / 1M Tokens
$1.25
$3.00
Gemini 2.5 Pro is 2.4x cheaper
Output Cost / 1M Tokens
$10.00
$15.00
Gemini 2.5 Pro (33.3% lower)
Prompt Cache Read / 1M
$0.313
$0.750
Gemini 2.5 Pro is 2.4x cheaper
Prompt Cache Write / 1M
$1.25
$3.00
Gemini 2.5 Pro is 2.4x cheaper
Context Window (Max Output)
1,024k (66k out)
134k (16k out)
Gemini 2.5 Pro (7.6x larger context)
Avg TTFT Response Latency
700ms
620ms
Grok 3 (80ms faster)
Generation Speed (Throughput)
80 tok/s
88 tok/s
Grok 3 (+8 tok/s faster)
SWE-bench Verified (Coding)
63.8%
65.8%
Grok 3 (+2.0% lead)
GPQA Diamond (PhD STEM)
74%
84.6%
Grok 3 (+10.6% lead)
MMLU-Pro (Multi-Discipline)
85.2%
80%
Gemini 2.5 Pro (+5.2% lead)
MATH-500 (Quantitative Logic)
95%
89.8%
Gemini 2.5 Pro (+5.2% lead)
Inference Value Score (IVR)
56.8 / 100
52.7 / 100
Gemini 2.5 Pro (+4.1 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose Gemini 2.5 Pro (Google) for long-context document and video analysis, large codebase ingestion, and multimodal reasoning — offering a 1,024k context window, 700ms TTFT, and $1.25/1M input pricing ($0.312/1M cached reads).
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).
Gemini 2.5 Pro is cheaper at $1.25/1M input tokens ($10.00/1M output) compared to $3.00/1M input ($15.00/1M output) for Grok 3.
Which model has lower TTFT latency and higher tok/s throughput: Gemini 2.5 Pro or Grok 3?
Grok 3 delivers faster first-token latency at 620ms TTFT (88 tok/s throughput) compared to 700ms TTFT (80 tok/s) for Gemini 2.5 Pro.
How do Gemini 2.5 Pro and Grok 3 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 2.5 Pro scores 63.8% versus 65.8% for Grok 3. On GPQA Diamond graduate-level STEM reasoning, Gemini 2.5 Pro scores 74% versus 84.6% for Grok 3 (and 95% vs 89.8% on MATH-500).
When should you choose Gemini 2.5 Pro?
Choose Gemini 2.5 Pro (Google) for long-context document and video analysis, large codebase ingestion, and multimodal reasoning — offering a 1,024k context window, 700ms TTFT, and $1.25/1M input pricing ($0.312/1M cached reads).
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).
