Which model is better: DeepSeek-R1 or GPT-5.6 Sol?

DeepSeek-R1 is 93.1% cheaper for input tokens ($0.55 vs. $8.00 per 1M tokens) and $2.19 vs. $32.00 for output tokens (14.5x cost difference). In terms of operational performance, GPT-5.6 Sol delivers faster response latency with 420ms TTFT (1380ms faster than DeepSeek-R1). GPT-5.6 Sol leads coding benchmarks at 79.5% SWE-bench vs. 49.2% for DeepSeek-R1.
Verified daily via automated API latency tests and official documentation.

Verified Performance & Unit Economics Delta

Daily synchronized metrics from synthetic latency endpoints and benchmark evaluations.

Metric / Dimension DeepSeek-R1 GPT-5.6 Sol Net Delta / Advantage
Input Cost / 1M Tokens $0.55 $8.00 DeepSeek-R1 is 14.5x cheaper
Output Cost / 1M Tokens $2.19 $32.00 DeepSeek-R1 (93.2% lower)
Avg TTFT Response Latency 1800ms 420ms GPT-5.6 Sol (+1380ms faster)
SWE-bench Verified (Coding) 49.2% 79.5% GPT-5.6 Sol (+30.3% lead)
Inference Value Score (IVR) 99.9 / 100 35.3 / 100 DeepSeek-R1 (+64.6 pts)

Interactive Monthly Token Economics & ROI Forecaster

Model your expected production workload across prompt (input) and completion (output) tokens.

Live Calculation Engine
10.0M Tokens
100K 50M 250M 500M+
2.5M Tokens
100K 10M 50M 100M+

Estimated Monthly Spend

DeepSeek-R1 $5.45

$0.55/1M in · $2.19/1M out

GPT-5.6 Sol $67.50

$8/1M in · $32/1M out

Projected Monthly Cost Reduction
$62.05 / mo
(91.9% lower cost)
A

When to Choose DeepSeek-R1

Choose DeepSeek-R1 when you need Open-weights chain-of-thought reasoning for complex mathematics, algorithmic programming, and scientific research. and have an infrastructure budget aligned with $0.55/1M tokens.

B

When to Choose GPT-5.6 Sol

Choose GPT-5.6 Sol when you need High-order STEM research, autonomous enterprise executive workflow coordination, and heavy deep-reasoning pipelines. and prioritize OpenAI ecosystem integration at $8.00/1M tokens.

Related Questions & Decision Factors

Which is cheaper: DeepSeek-R1 or GPT-5.6 Sol?

DeepSeek-R1 is cheaper at $0.55/1M input tokens compared to $8.00/1M for GPT-5.6 Sol.

Which model has lower latency: DeepSeek-R1 or GPT-5.6 Sol?

GPT-5.6 Sol delivers faster response times with an average TTFT of 420ms vs 1800ms for DeepSeek-R1.

When should you choose DeepSeek-R1?

Choose DeepSeek-R1 when you need Open-weights chain-of-thought reasoning for complex mathematics, algorithmic programming, and scientific research. and have an infrastructure budget aligned with $0.55/1M tokens.

When should you choose GPT-5.6 Sol?

Choose GPT-5.6 Sol when you need High-order STEM research, autonomous enterprise executive workflow coordination, and heavy deep-reasoning pipelines. and prioritize OpenAI ecosystem integration at $8.00/1M tokens.

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