Which model is better: DeepSeek V3 or GPT-6 Astra?
DeepSeek V3 is 98.6% cheaper for input tokens ($0.14 vs. $10.00 per 1M tokens) and $0.28 vs. $50.00 for output tokens (71.4x cost advantage). In terms of operational performance, DeepSeek V3 delivers lower response latency at 410ms TTFT (330ms faster than GPT-6 Astra) with 78 vs. 74 tok/s throughput. GPT-6 Astra leads coding evaluations at 75.7% SWE-bench Verified vs. 42.0% for DeepSeek V3 and 96.0% vs. 59.1% 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
DeepSeek V3
GPT-6 Astra
Net Delta / Advantage
Input Cost / 1M Tokens
$0.14
$10.00
DeepSeek V3 is 71.4x cheaper
Output Cost / 1M Tokens
$0.28
$50.00
DeepSeek V3 (99.4% lower)
Prompt Cache Read / 1M
$0.014
$1.000
DeepSeek V3 is 71.4x cheaper
Prompt Cache Write / 1M
$0.14
$12.50
DeepSeek V3 is 89.3x cheaper
Context Window (Max Output)
131k (8k out)
1,075k (128k out)
GPT-6 Astra (8.2x larger context)
Avg TTFT Response Latency
410ms
740ms
DeepSeek V3 (330ms faster)
Generation Speed (Throughput)
78 tok/s
74 tok/s
DeepSeek V3 (+4 tok/s faster)
SWE-bench Verified (Coding)
42%
75.7%
GPT-6 Astra (+33.7% lead)
GPQA Diamond (PhD STEM)
59.1%
96%
GPT-6 Astra (+36.9% lead)
MMLU-Pro (Multi-Discipline)
75.9%
91.2%
GPT-6 Astra (+15.3% lead)
MATH-500 (Quantitative Logic)
90.2%
98%
GPT-6 Astra (+7.8% lead)
Inference Value Score (IVR)
75 / 100
47.6 / 100
DeepSeek V3 (+27.4 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
DeepSeek V3 is cheaper at $0.14/1M input tokens ($0.28/1M 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: DeepSeek V3 or GPT-6 Astra?
DeepSeek V3 delivers faster first-token latency at 410ms TTFT (78 tok/s throughput) compared to 740ms TTFT (74 tok/s) for GPT-6 Astra.
How do DeepSeek V3 and GPT-6 Astra compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, DeepSeek V3 scores 42% versus 75.7% for GPT-6 Astra. On GPQA Diamond graduate-level STEM reasoning, DeepSeek V3 scores 59.1% versus 96% for GPT-6 Astra (and 90.2% vs 98% on MATH-500).
When should you choose DeepSeek V3?
Choose DeepSeek V3 (DeepSeek) for cost-sensitive batch text processing, drafting, and open-weight self-hosted inference — offering a 131k context window, 410ms TTFT, and $0.14/1M input pricing ($0.014/1M 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).
