Which model is better: Claude 4 Opus or Gemini 2.5 Pro?
Gemini 2.5 Pro is 91.7% cheaper for input tokens ($1.25 vs. $15.00 per 1M tokens) and $10.00 vs. $75.00 for output tokens (12.0x cost advantage). In terms of operational performance, Gemini 2.5 Pro delivers lower response latency at 700ms TTFT (220ms faster than Claude 4 Opus) with 80 vs. 46 tok/s throughput. Claude 4 Opus leads coding evaluations at 77.2% SWE-bench Verified vs. 63.8% for Gemini 2.5 Pro and 87.1% 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
Claude 4 Opus
Gemini 2.5 Pro
Net Delta / Advantage
Input Cost / 1M Tokens
$15.00
$1.25
Gemini 2.5 Pro is 12.0x cheaper
Output Cost / 1M Tokens
$75.00
$10.00
Gemini 2.5 Pro (86.7% lower)
Prompt Cache Read / 1M
$1.500
$0.313
Gemini 2.5 Pro is 4.8x cheaper
Prompt Cache Write / 1M
$18.75
$1.25
Gemini 2.5 Pro is 15.0x cheaper
Context Window (Max Output)
205k (64k out)
1,024k (66k out)
Gemini 2.5 Pro (5.0x larger context)
Avg TTFT Response Latency
920ms
700ms
Gemini 2.5 Pro (220ms faster)
Generation Speed (Throughput)
46 tok/s
80 tok/s
Gemini 2.5 Pro (+34 tok/s faster)
SWE-bench Verified (Coding)
77.2%
63.8%
Claude 4 Opus (+13.4% lead)
GPQA Diamond (PhD STEM)
87.1%
74%
Claude 4 Opus (+13.1% lead)
MMLU-Pro (Multi-Discipline)
91.8%
85.2%
Claude 4 Opus (+6.6% lead)
MATH-500 (Quantitative Logic)
98.1%
95%
Claude 4 Opus (+3.1% lead)
Inference Value Score (IVR)
43.6 / 100
56.8 / 100
Gemini 2.5 Pro (+13.2 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).
Which is cheaper: Claude 4 Opus or Gemini 2.5 Pro?
Gemini 2.5 Pro is cheaper at $1.25/1M input tokens ($10.00/1M output) compared to $15.00/1M input ($75.00/1M output) for Claude 4 Opus.
Which model has lower TTFT latency and higher tok/s throughput: Claude 4 Opus or Gemini 2.5 Pro?
Gemini 2.5 Pro delivers faster first-token latency at 700ms TTFT (80 tok/s throughput) compared to 920ms TTFT (46 tok/s) for Claude 4 Opus.
How do Claude 4 Opus and Gemini 2.5 Pro compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 4 Opus scores 77.2% versus 63.8% for Gemini 2.5 Pro. On GPQA Diamond graduate-level STEM reasoning, Claude 4 Opus scores 87.1% versus 74% for Gemini 2.5 Pro (and 98.1% vs 95% on MATH-500).
When should you choose Claude 4 Opus?
Choose Claude 4 Opus (Anthropic) for mission-critical R&D, long-horizon autonomous coding tasks, complex theorem proving, and executive strategic synthesis — offering a 204k context window, 920ms TTFT, and $15.00/1M input pricing ($1.500/1M cached reads).
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).
