💻 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-5 or GPT-6.1 Sol?
GPT-6.1 Sol is 20.0% cheaper for input tokens ($2.00 vs. $2.50 per 1M tokens) and $10.00 vs. $10.00 for output tokens (1.2x cost advantage). In terms of operational performance, GPT-5 delivers lower response latency at 340ms TTFT (180ms faster than GPT-6.1 Sol) with 105 vs. 135 tok/s throughput. GPT-6.1 Sol leads coding evaluations at 86.4% SWE-bench Verified vs. 74.9% for GPT-5 and 92.4% vs. 85.4% 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-5
GPT-6.1 Sol
Net Delta / Advantage
Input Cost / 1M Tokens
$2.50
$2.00
GPT-6.1 Sol is 1.3x cheaper
Output Cost / 1M Tokens
$10.00
$10.00
Identical Output Pricing
Prompt Cache Read / 1M
$0.625
$0.100
GPT-6.1 Sol is 6.3x cheaper
Prompt Cache Write / 1M
$2.50
$2.00
GPT-6.1 Sol is 1.3x cheaper
Context Window (Max Output)
410k (128k out)
1,075k (128k out)
GPT-6.1 Sol (2.6x larger context)
Avg TTFT Response Latency
340ms
520ms
GPT-5 (180ms faster)
Generation Speed (Throughput)
105 tok/s
135 tok/s
GPT-6.1 Sol (+30 tok/s faster)
SWE-bench Verified (Coding)
74.9%
86.4%
GPT-6.1 Sol (+11.5% lead)
GPQA Diamond (PhD STEM)
85.4%
92.4%
GPT-6.1 Sol (+7.0% lead)
MMLU-Pro (Multi-Discipline)
90.8%
91%
GPT-6.1 Sol (+0.2% lead)
MATH-500 (Quantitative Logic)
98%
98.8%
GPT-6.1 Sol (+0.8% lead)
Inference Value Score (IVR)
59.2 / 100
62.9 / 100
GPT-6.1 Sol (+3.7 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-6.1 Sol is cheaper at $2.00/1M input tokens ($10.00/1M output) compared to $2.50/1M input ($10.00/1M output) for GPT-5.
Which model has lower TTFT latency and higher tok/s throughput: GPT-5 or GPT-6.1 Sol?
GPT-5 delivers faster first-token latency at 340ms TTFT (105 tok/s throughput) compared to 520ms TTFT (135 tok/s) for GPT-6.1 Sol.
How do GPT-5 and GPT-6.1 Sol compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GPT-5 scores 74.9% versus 86.4% for GPT-6.1 Sol. On GPQA Diamond graduate-level STEM reasoning, GPT-5 scores 85.4% versus 92.4% for GPT-6.1 Sol (and 98% vs 98.8% on MATH-500).
When should you choose GPT-5?
Choose GPT-5 (OpenAI) for complex enterprise automation, full-stack software engineering, multimodal agent orchestration, and scientific synthesis — offering a 409k context window, 340ms TTFT, and $2.50/1M input pricing ($0.625/1M 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).
