💻 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-6.1 Sol or OpenAI o4-mini?
OpenAI o4-mini is 45.0% cheaper for input tokens ($1.10 vs. $2.00 per 1M tokens) and $4.40 vs. $10.00 for output tokens (1.8x cost advantage). In terms of operational performance, GPT-6.1 Sol delivers lower response latency at 520ms TTFT (160ms faster than OpenAI o4-mini) with 135 vs. 125 tok/s throughput. GPT-6.1 Sol leads coding evaluations at 86.4% SWE-bench Verified vs. 68.1% for OpenAI o4-mini and 92.4% vs. 81.4% 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-6.1 Sol
OpenAI o4-mini
Net Delta / Advantage
Input Cost / 1M Tokens
$2.00
$1.10
OpenAI o4-mini is 1.8x cheaper
Output Cost / 1M Tokens
$10.00
$4.40
OpenAI o4-mini (56.0% lower)
Prompt Cache Read / 1M
$0.100
$0.275
GPT-6.1 Sol is 2.8x cheaper
Prompt Cache Write / 1M
$2.00
$1.10
OpenAI o4-mini is 1.8x cheaper
Context Window (Max Output)
1,075k (128k out)
205k (100k out)
GPT-6.1 Sol (5.3x larger context)
Avg TTFT Response Latency
520ms
680ms
GPT-6.1 Sol (160ms faster)
Generation Speed (Throughput)
135 tok/s
125 tok/s
GPT-6.1 Sol (+10 tok/s faster)
SWE-bench Verified (Coding)
86.4%
68.1%
GPT-6.1 Sol (+18.3% lead)
GPQA Diamond (PhD STEM)
92.4%
81.4%
GPT-6.1 Sol (+11.0% lead)
MMLU-Pro (Multi-Discipline)
91%
85.6%
GPT-6.1 Sol (+5.4% lead)
MATH-500 (Quantitative Logic)
98.8%
97.8%
GPT-6.1 Sol (+1.0% lead)
Inference Value Score (IVR)
62.9 / 100
63.7 / 100
OpenAI o4-mini (+0.8 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).
OpenAI o4-mini is cheaper at $1.10/1M input tokens ($4.40/1M 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-6.1 Sol or OpenAI o4-mini?
GPT-6.1 Sol delivers faster first-token latency at 520ms TTFT (135 tok/s throughput) compared to 680ms TTFT (125 tok/s) for OpenAI o4-mini.
How do GPT-6.1 Sol and OpenAI o4-mini compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GPT-6.1 Sol scores 86.4% versus 68.1% for OpenAI o4-mini. On GPQA Diamond graduate-level STEM reasoning, GPT-6.1 Sol scores 92.4% versus 81.4% for OpenAI o4-mini (and 98.8% vs 97.8% on MATH-500).
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).
When should you choose OpenAI o4-mini?
Choose OpenAI o4-mini (OpenAI) for automated PR review, high-volume agentic coding loops, SQL/data analysis, and visual document reasoning — offering a 204k context window, 680ms TTFT, and $1.10/1M input pricing ($0.275/1M cached reads).
