Which model is better: Gemini 3.1 Pro or GPT-6 Astra?
Gemini 3.1 Pro is 87.5% cheaper for input tokens ($1.25 vs. $10.00 per 1M tokens) and $10.00 vs. $50.00 for output tokens (8.0x cost advantage). In terms of operational performance, Gemini 3.1 Pro delivers lower response latency at 420ms TTFT (320ms faster than GPT-6 Astra) with 98 vs. 74 tok/s throughput. GPT-6 Astra leads coding evaluations at 75.7% SWE-bench Verified vs. 71.8% for Gemini 3.1 Pro and 96.0% vs. 82.4% 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
Gemini 3.1 Pro
GPT-6 Astra
Net Delta / Advantage
Input Cost / 1M Tokens
$1.25
$10.00
Gemini 3.1 Pro is 8.0x cheaper
Output Cost / 1M Tokens
$10.00
$50.00
Gemini 3.1 Pro (80.0% lower)
Prompt Cache Read / 1M
$0.310
$1.000
Gemini 3.1 Pro is 3.2x cheaper
Prompt Cache Write / 1M
$1.25
$12.50
Gemini 3.1 Pro is 10.0x cheaper
Context Window (Max Output)
1,049k (66k out)
1,075k (128k out)
GPT-6 Astra (1.0x larger context)
Avg TTFT Response Latency
420ms
740ms
Gemini 3.1 Pro (320ms faster)
Generation Speed (Throughput)
98 tok/s
74 tok/s
Gemini 3.1 Pro (+24 tok/s faster)
SWE-bench Verified (Coding)
71.8%
75.7%
GPT-6 Astra (+3.9% lead)
GPQA Diamond (PhD STEM)
82.4%
96%
GPT-6 Astra (+13.6% lead)
MMLU-Pro (Multi-Discipline)
89.5%
91.2%
GPT-6 Astra (+1.7% lead)
MATH-500 (Quantitative Logic)
96.8%
98%
GPT-6 Astra (+1.2% lead)
Inference Value Score (IVR)
60 / 100
47.6 / 100
Gemini 3.1 Pro (+12.4 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose Gemini 3.1 Pro (Google) for complex enterprise architecture planning, multi-file code refactoring, legal/financial corpus auditing, and multimodal research — offering a 1,048k context window, 420ms TTFT, and $1.25/1M input pricing ($0.310/1M cached reads).
Gemini 3.1 Pro is cheaper at $1.25/1M 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: Gemini 3.1 Pro or GPT-6 Astra?
Gemini 3.1 Pro delivers faster first-token latency at 420ms TTFT (98 tok/s throughput) compared to 740ms TTFT (74 tok/s) for GPT-6 Astra.
How do Gemini 3.1 Pro and GPT-6 Astra compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 3.1 Pro scores 71.8% versus 75.7% for GPT-6 Astra. On GPQA Diamond graduate-level STEM reasoning, Gemini 3.1 Pro scores 82.4% versus 96% for GPT-6 Astra (and 96.8% vs 98% on MATH-500).
When should you choose Gemini 3.1 Pro?
Choose Gemini 3.1 Pro (Google) for complex enterprise architecture planning, multi-file code refactoring, legal/financial corpus auditing, and multimodal research — offering a 1,048k context window, 420ms TTFT, and $1.25/1M input pricing ($0.310/1M 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).
