Which model is better: Claude 4.5 Sonnet or GPT-4o Mini?
GPT-4o Mini is 95.0% cheaper for input tokens ($0.15 vs. $3.00 per 1M tokens) and $0.60 vs. $15.00 for output tokens (20.0x cost advantage). In terms of operational performance, GPT-4o Mini delivers lower response latency at 220ms TTFT (160ms faster than Claude 4.5 Sonnet) with 140 vs. 84 tok/s throughput. Claude 4.5 Sonnet leads coding evaluations at 75.8% SWE-bench Verified vs. 41.0% for GPT-4o Mini and 84.2% vs. 40.2% 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 4.5 Sonnet
GPT-4o Mini
Net Delta / Advantage
Input Cost / 1M Tokens
$3.00
$0.15
GPT-4o Mini is 20.0x cheaper
Output Cost / 1M Tokens
$15.00
$0.60
GPT-4o Mini (96.0% lower)
Prompt Cache Read / 1M
$0.300
$0.075
GPT-4o Mini is 4.0x cheaper
Prompt Cache Write / 1M
$3.75
$0.15
GPT-4o Mini is 25.0x cheaper
Context Window (Max Output)
205k (64k out)
131k (16k out)
Claude 4.5 Sonnet (1.6x larger context)
Avg TTFT Response Latency
380ms
220ms
GPT-4o Mini (160ms faster)
Generation Speed (Throughput)
84 tok/s
140 tok/s
GPT-4o Mini (+56 tok/s faster)
SWE-bench Verified (Coding)
75.8%
41%
Claude 4.5 Sonnet (+34.8% lead)
GPQA Diamond (PhD STEM)
84.2%
40.2%
Claude 4.5 Sonnet (+44.0% lead)
MMLU-Pro (Multi-Discipline)
90.4%
68%
Claude 4.5 Sonnet (+22.4% lead)
MATH-500 (Quantitative Logic)
97.5%
70.2%
Claude 4.5 Sonnet (+27.3% lead)
Inference Value Score (IVR)
56.5 / 100
67.2 / 100
GPT-4o Mini (+10.7 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Which is cheaper: Claude 4.5 Sonnet or GPT-4o Mini?
GPT-4o Mini is cheaper at $0.15/1M input tokens ($0.60/1M output) compared to $3.00/1M input ($15.00/1M output) for Claude 4.5 Sonnet.
Which model has lower TTFT latency and higher tok/s throughput: Claude 4.5 Sonnet or GPT-4o Mini?
GPT-4o Mini delivers faster first-token latency at 220ms TTFT (140 tok/s throughput) compared to 380ms TTFT (84 tok/s) for Claude 4.5 Sonnet.
How do Claude 4.5 Sonnet and GPT-4o Mini compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 4.5 Sonnet scores 75.8% versus 41% for GPT-4o Mini. On GPQA Diamond graduate-level STEM reasoning, Claude 4.5 Sonnet scores 84.2% versus 40.2% for GPT-4o Mini (and 97.5% vs 70.2% on MATH-500).
When should you choose Claude 4.5 Sonnet?
Choose Claude 4.5 Sonnet (Anthropic) for end-to-end autonomous coding agents, complex multi-file debugging, browser/GUI automation, and high-precision technical writing — offering a 204k context window, 380ms TTFT, and $3.00/1M input pricing ($0.300/1M cached reads).
When should you choose GPT-4o Mini?
Choose GPT-4o Mini (OpenAI) for high-volume classification, lightweight RAG chatbots, and structured JSON extraction — offering a 131k context window, 220ms TTFT, and $0.15/1M input pricing ($0.075/1M cached reads).
