Which model is better: GPT-6.1 Sol or GPT-6 Astra?
GPT-6.1 Sol is 80.0% cheaper for input tokens ($2.00 vs. $10.00 per 1M tokens) and $10.00 vs. $50.00 for output tokens (5.0x cost advantage). In terms of operational performance, GPT-6.1 Sol delivers lower response latency at 520ms TTFT (220ms faster than GPT-6 Astra) with 135 vs. 74 tok/s throughput. GPT-6.1 Sol leads coding evaluations at 86.4% SWE-bench Verified vs. 75.7% for GPT-6 Astra and 92.4% vs. 96.0% 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
GPT-6.1 Sol
GPT-6 Astra
Net Delta / Advantage
Input Cost / 1M Tokens
$2.00
$10.00
GPT-6.1 Sol is 5.0x cheaper
Output Cost / 1M Tokens
$10.00
$50.00
GPT-6.1 Sol (80.0% lower)
Prompt Cache Read / 1M
$0.100
$1.000
GPT-6.1 Sol is 10.0x cheaper
Prompt Cache Write / 1M
$2.00
$12.50
GPT-6.1 Sol is 6.3x cheaper
Context Window (Max Output)
1,075k (128k out)
1,075k (128k out)
Equal Context Window
Avg TTFT Response Latency
520ms
740ms
GPT-6.1 Sol (220ms faster)
Generation Speed (Throughput)
135 tok/s
74 tok/s
GPT-6.1 Sol (+61 tok/s faster)
SWE-bench Verified (Coding)
86.4%
75.7%
GPT-6.1 Sol (+10.7% lead)
GPQA Diamond (PhD STEM)
92.4%
96%
GPT-6 Astra (+3.6% lead)
MMLU-Pro (Multi-Discipline)
91%
91.2%
GPT-6 Astra (+0.2% lead)
MATH-500 (Quantitative Logic)
98.8%
98%
GPT-6.1 Sol (+0.8% lead)
Inference Value Score (IVR)
62.9 / 100
47.6 / 100
GPT-6.1 Sol (+15.3 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-6.1 Sol is cheaper at $2.00/1M input tokens ($10.00/1M output) compared to $10.00/1M input ($50.00/1M output) for GPT-6 Astra.
Which model has lower TTFT latency and higher tok/s throughput: GPT-6.1 Sol or GPT-6 Astra?
GPT-6.1 Sol delivers faster first-token latency at 520ms TTFT (135 tok/s throughput) compared to 740ms TTFT (74 tok/s) for GPT-6 Astra.
How do GPT-6.1 Sol and GPT-6 Astra compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GPT-6.1 Sol scores 86.4% versus 75.7% for GPT-6 Astra. On GPQA Diamond graduate-level STEM reasoning, GPT-6.1 Sol scores 92.4% versus 96% for GPT-6 Astra (and 98.8% vs 98% 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 GPT-6 Astra?
Choose GPT-6 Astra (OpenAI) for high-autonomy flagship reasoning model engineered for end-to-end computer and browser use, advanced scientific research, and complex multi-turn software engineering — offering a 1,075k context window, 740ms TTFT, and $10.00/1M input pricing ($1.000/1M cached reads).
