💻 Coding (SWE) WinnerGPT-6.1 Sol 86.4% SWE-bench · 96.8% HumanEval
🧠 STEM Reasoning WinnerGPT-6.1 Sol 92.4% GPQA · 98.8% MATH-500
Which model is better: GPT-4o Mini or GPT-6.1 Sol?
GPT-4o Mini is 92.5% cheaper for input tokens ($0.15 vs. $2.00 per 1M tokens) and $0.60 vs. $10.00 for output tokens (13.3x cost advantage). In terms of operational performance, GPT-4o Mini delivers lower response latency at 220ms TTFT (300ms faster than GPT-6.1 Sol) with 140 vs. 135 tok/s throughput. GPT-6.1 Sol leads coding evaluations at 86.4% SWE-bench Verified vs. 41.0% for GPT-4o Mini and 92.4% 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
GPT-4o Mini
GPT-6.1 Sol
Net Delta / Advantage
Input Cost / 1M Tokens
$0.15
$2.00
GPT-4o Mini is 13.3x cheaper
Output Cost / 1M Tokens
$0.60
$10.00
GPT-4o Mini (94.0% lower)
Prompt Cache Read / 1M
$0.075
$0.100
GPT-4o Mini is 1.3x cheaper
Prompt Cache Write / 1M
$0.15
$2.00
GPT-4o Mini is 13.3x cheaper
Context Window (Max Output)
131k (16k out)
1,075k (128k out)
GPT-6.1 Sol (8.2x larger context)
Avg TTFT Response Latency
220ms
520ms
GPT-4o Mini (300ms faster)
Generation Speed (Throughput)
140 tok/s
135 tok/s
GPT-4o Mini (+5 tok/s faster)
SWE-bench Verified (Coding)
41%
86.4%
GPT-6.1 Sol (+45.4% lead)
GPQA Diamond (PhD STEM)
40.2%
92.4%
GPT-6.1 Sol (+52.2% lead)
MMLU-Pro (Multi-Discipline)
68%
91%
GPT-6.1 Sol (+23.0% lead)
MATH-500 (Quantitative Logic)
70.2%
98.8%
GPT-6.1 Sol (+28.6% lead)
Inference Value Score (IVR)
67.2 / 100
62.9 / 100
GPT-4o Mini (+4.3 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose GPT-6.1 Sol (OpenAI) for delivers near-GPT-6 Astra frontier accuracy at one-fifth the token cost with a 95% cache read discount for high-efficiency agentic coding, computer use, and enterprise workflow automation — offering a 1,075k context window, 520ms TTFT, and $2.00/1M input pricing ($0.100/1M cached reads).
GPT-4o Mini is cheaper at $0.15/1M input tokens ($0.60/1M output) compared to $2.00/1M input ($10.00/1M output) for GPT-6.1 Sol.
Which model has lower TTFT latency and higher tok/s throughput: GPT-4o Mini or GPT-6.1 Sol?
GPT-4o Mini delivers faster first-token latency at 220ms TTFT (140 tok/s throughput) compared to 520ms TTFT (135 tok/s) for GPT-6.1 Sol.
How do GPT-4o Mini and GPT-6.1 Sol compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GPT-4o Mini scores 41% versus 86.4% for GPT-6.1 Sol. On GPQA Diamond graduate-level STEM reasoning, GPT-4o Mini scores 40.2% versus 92.4% for GPT-6.1 Sol (and 70.2% vs 98.8% on MATH-500).
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).
When should you choose GPT-6.1 Sol?
Choose GPT-6.1 Sol (OpenAI) for delivers near-GPT-6 Astra frontier accuracy at one-fifth the token cost with a 95% cache read discount for high-efficiency agentic coding, computer use, and enterprise workflow automation — offering a 1,075k context window, 520ms TTFT, and $2.00/1M input pricing ($0.100/1M cached reads).
