Which model is better: Gemini 2.5 Pro or GPT-6 Astra?
Gemini 2.5 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 2.5 Pro delivers lower response latency at 700ms TTFT (40ms faster than GPT-6 Astra) with 80 vs. 74 tok/s throughput. GPT-6 Astra leads coding evaluations at 75.7% SWE-bench Verified vs. 63.8% for Gemini 2.5 Pro and 96.0% vs. 74.0% 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
Gemini 2.5 Pro
GPT-6 Astra
Net Delta / Advantage
Input Cost / 1M Tokens
$1.25
$10.00
Gemini 2.5 Pro is 8.0x cheaper
Output Cost / 1M Tokens
$10.00
$50.00
Gemini 2.5 Pro (80.0% lower)
Prompt Cache Read / 1M
$0.313
$1.000
Gemini 2.5 Pro is 3.2x cheaper
Prompt Cache Write / 1M
$1.25
$12.50
Gemini 2.5 Pro is 10.0x cheaper
Context Window (Max Output)
1,024k (66k out)
1,075k (128k out)
GPT-6 Astra (1.1x larger context)
Avg TTFT Response Latency
700ms
740ms
Gemini 2.5 Pro (40ms faster)
Generation Speed (Throughput)
80 tok/s
74 tok/s
Gemini 2.5 Pro (+6 tok/s faster)
SWE-bench Verified (Coding)
63.8%
75.7%
GPT-6 Astra (+11.9% lead)
GPQA Diamond (PhD STEM)
74%
96%
GPT-6 Astra (+22.0% lead)
MMLU-Pro (Multi-Discipline)
85.2%
91.2%
GPT-6 Astra (+6.0% lead)
MATH-500 (Quantitative Logic)
95%
98%
GPT-6 Astra (+3.0% lead)
Inference Value Score (IVR)
56.8 / 100
47.6 / 100
Gemini 2.5 Pro (+9.2 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 2.5 Pro (Google) for long-context document and video analysis, large codebase ingestion, and multimodal reasoning — offering a 1,024k context window, 700ms TTFT, and $1.25/1M input pricing ($0.312/1M cached reads).
Gemini 2.5 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 2.5 Pro or GPT-6 Astra?
Gemini 2.5 Pro delivers faster first-token latency at 700ms TTFT (80 tok/s throughput) compared to 740ms TTFT (74 tok/s) for GPT-6 Astra.
How do Gemini 2.5 Pro and GPT-6 Astra compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 2.5 Pro scores 63.8% versus 75.7% for GPT-6 Astra. On GPQA Diamond graduate-level STEM reasoning, Gemini 2.5 Pro scores 74% versus 96% for GPT-6 Astra (and 95% vs 98% on MATH-500).
When should you choose Gemini 2.5 Pro?
Choose Gemini 2.5 Pro (Google) for long-context document and video analysis, large codebase ingestion, and multimodal reasoning — offering a 1,024k context window, 700ms TTFT, and $1.25/1M input pricing ($0.312/1M 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).
