Which model is better: DeepSeek R1 or GPT-6 Astra?
DeepSeek R1 is 94.5% cheaper for input tokens ($0.55 vs. $10.00 per 1M tokens) and $2.19 vs. $50.00 for output tokens (18.2x cost advantage). In terms of operational performance, GPT-6 Astra delivers lower response latency at 740ms TTFT (710ms faster than DeepSeek R1) with 74 vs. 58 tok/s throughput. GPT-6 Astra leads coding evaluations at 75.7% SWE-bench Verified vs. 49.2% for DeepSeek R1 and 96.0% vs. 71.5% 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 R1
GPT-6 Astra
Net Delta / Advantage
Input Cost / 1M Tokens
$0.55
$10.00
DeepSeek R1 is 18.2x cheaper
Output Cost / 1M Tokens
$2.19
$50.00
DeepSeek R1 (95.6% lower)
Prompt Cache Read / 1M
$0.140
$1.000
DeepSeek R1 is 7.1x cheaper
Prompt Cache Write / 1M
$0.55
$12.50
DeepSeek R1 is 22.7x cheaper
Context Window (Max Output)
131k (33k out)
1,075k (128k out)
GPT-6 Astra (8.2x larger context)
Avg TTFT Response Latency
1450ms
740ms
GPT-6 Astra (710ms faster)
Generation Speed (Throughput)
58 tok/s
74 tok/s
GPT-6 Astra (+16 tok/s faster)
SWE-bench Verified (Coding)
49.2%
75.7%
GPT-6 Astra (+26.5% lead)
GPQA Diamond (PhD STEM)
71.5%
96%
GPT-6 Astra (+24.5% lead)
MMLU-Pro (Multi-Discipline)
84%
91.2%
GPT-6 Astra (+7.2% lead)
MATH-500 (Quantitative Logic)
97.3%
98%
GPT-6 Astra (+0.7% lead)
Inference Value Score (IVR)
64.8 / 100
47.6 / 100
DeepSeek R1 (+17.2 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
DeepSeek R1 is cheaper at $0.55/1M input tokens ($2.19/1M 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 R1 or GPT-6 Astra?
GPT-6 Astra delivers faster first-token latency at 740ms TTFT (74 tok/s throughput) compared to 1450ms TTFT (58 tok/s) for DeepSeek R1.
How do DeepSeek R1 and GPT-6 Astra compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, DeepSeek R1 scores 49.2% versus 75.7% for GPT-6 Astra. On GPQA Diamond graduate-level STEM reasoning, DeepSeek R1 scores 71.5% versus 96% for GPT-6 Astra (and 97.3% vs 98% on MATH-500).
When should you choose DeepSeek R1?
Choose DeepSeek R1 (DeepSeek) for open-weight chain-of-thought reasoning, synthetic data distillation, and complex mathematical verification — offering a 131k context window, 1450ms TTFT, and $0.55/1M input pricing ($0.140/1M 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).
