Which model is better: DeepSeek V4 Pro or GPT-6 Astra?
DeepSeek V4 Pro is 86.8% cheaper for input tokens ($1.32 vs. $10.00 per 1M tokens) and $3.96 vs. $50.00 for output tokens (7.6x cost advantage). In terms of operational performance, DeepSeek V4 Pro delivers lower response latency at 520ms TTFT (220ms faster than GPT-6 Astra) with 78 vs. 74 tok/s throughput. DeepSeek V4 Pro leads coding evaluations at 80.6% SWE-bench Verified vs. 75.7% for GPT-6 Astra and 90.1% 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
DeepSeek V4 Pro
GPT-6 Astra
Net Delta / Advantage
Input Cost / 1M Tokens
$1.32
$10.00
DeepSeek V4 Pro is 7.6x cheaper
Output Cost / 1M Tokens
$3.96
$50.00
DeepSeek V4 Pro (92.1% lower)
Prompt Cache Read / 1M
$0.145
$1.000
DeepSeek V4 Pro is 6.9x cheaper
Prompt Cache Write / 1M
$1.32
$12.50
DeepSeek V4 Pro is 9.5x cheaper
Context Window (Max Output)
1,024k (128k out)
1,075k (128k out)
GPT-6 Astra (1.1x larger context)
Avg TTFT Response Latency
520ms
740ms
DeepSeek V4 Pro (220ms faster)
Generation Speed (Throughput)
78 tok/s
74 tok/s
DeepSeek V4 Pro (+4 tok/s faster)
SWE-bench Verified (Coding)
80.6%
75.7%
DeepSeek V4 Pro (+4.9% lead)
GPQA Diamond (PhD STEM)
90.1%
96%
GPT-6 Astra (+5.9% lead)
MMLU-Pro (Multi-Discipline)
88.4%
91.2%
GPT-6 Astra (+2.8% lead)
MATH-500 (Quantitative Logic)
97.3%
98%
GPT-6 Astra (+0.7% lead)
Inference Value Score (IVR)
67 / 100
47.6 / 100
DeepSeek V4 Pro (+19.4 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
DeepSeek V4 Pro is cheaper at $1.32/1M input tokens ($3.96/1M 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 V4 Pro or GPT-6 Astra?
DeepSeek V4 Pro delivers faster first-token latency at 520ms TTFT (78 tok/s throughput) compared to 740ms TTFT (74 tok/s) for GPT-6 Astra.
How do DeepSeek V4 Pro and GPT-6 Astra compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, DeepSeek V4 Pro scores 80.6% versus 75.7% for GPT-6 Astra. On GPQA Diamond graduate-level STEM reasoning, DeepSeek V4 Pro scores 90.1% versus 96% for GPT-6 Astra (and 97.3% vs 98% on MATH-500).
When should you choose DeepSeek V4 Pro?
Choose DeepSeek V4 Pro (DeepSeek) for open-weight 1.6T MoE powerhouse designed for cost-effective full-repository code generation, mathematical reasoning, and persistent chain-of-thought multi-step agent workflows — offering a 1,024k context window, 520ms TTFT, and $1.32/1M input pricing ($0.145/1M 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).
