Which model is better: Gemini 2.0 Flash or GPT-6 Astra?
Gemini 2.0 Flash is 99.0% cheaper for input tokens ($0.10 vs. $10.00 per 1M tokens) and $0.40 vs. $50.00 for output tokens (100.0x cost advantage). In terms of operational performance, Gemini 2.0 Flash delivers lower response latency at 280ms TTFT (460ms faster than GPT-6 Astra) with 185 vs. 74 tok/s throughput. GPT-6 Astra leads coding evaluations at 75.7% SWE-bench Verified vs. 51.8% for Gemini 2.0 Flash and 96.0% vs. 63.6% 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 2.0 Flash
GPT-6 Astra
Net Delta / Advantage
Input Cost / 1M Tokens
$0.10
$10.00
Gemini 2.0 Flash is 100.0x cheaper
Output Cost / 1M Tokens
$0.40
$50.00
Gemini 2.0 Flash (99.2% lower)
Prompt Cache Read / 1M
$0.025
$1.000
Gemini 2.0 Flash is 40.0x cheaper
Prompt Cache Write / 1M
$0.10
$12.50
Gemini 2.0 Flash is 125.0x cheaper
Context Window (Max Output)
1,073k (8k out)
1,075k (128k out)
GPT-6 Astra (1.0x larger context)
Avg TTFT Response Latency
280ms
740ms
Gemini 2.0 Flash (460ms faster)
Generation Speed (Throughput)
185 tok/s
74 tok/s
Gemini 2.0 Flash (+111 tok/s faster)
SWE-bench Verified (Coding)
51.8%
75.7%
GPT-6 Astra (+23.9% lead)
GPQA Diamond (PhD STEM)
63.6%
96%
GPT-6 Astra (+32.4% lead)
MMLU-Pro (Multi-Discipline)
78.2%
91.2%
GPT-6 Astra (+13.0% lead)
MATH-500 (Quantitative Logic)
91.1%
98%
GPT-6 Astra (+6.9% lead)
Inference Value Score (IVR)
77.7 / 100
47.6 / 100
Gemini 2.0 Flash (+30.1 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Which is cheaper: Gemini 2.0 Flash or GPT-6 Astra?
Gemini 2.0 Flash is cheaper at $0.10/1M input tokens ($0.40/1M 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 2.0 Flash or GPT-6 Astra?
Gemini 2.0 Flash delivers faster first-token latency at 280ms TTFT (185 tok/s throughput) compared to 740ms TTFT (74 tok/s) for GPT-6 Astra.
How do Gemini 2.0 Flash and GPT-6 Astra compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 2.0 Flash scores 51.8% versus 75.7% for GPT-6 Astra. On GPQA Diamond graduate-level STEM reasoning, Gemini 2.0 Flash scores 63.6% versus 96% for GPT-6 Astra (and 91.1% vs 98% on MATH-500).
When should you choose Gemini 2.0 Flash?
Choose Gemini 2.0 Flash (Google DeepMind) for legacy high-throughput multimodal pipelines migrating to Gemini 3.8 Flash — offering a 1,073k context window, 280ms TTFT, and $0.10/1M input pricing ($0.025/1M 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).
