Which model is better: Claude Opus 5 or DeepSeek-R1?

DeepSeek-R1 is 89.0% cheaper for input tokens ($0.55 vs. $5.00 per 1M tokens) and $2.19 vs. $25.00 for output tokens (9.1x cost difference). In terms of operational performance, Claude Opus 5 delivers faster response latency with 340ms TTFT (1460ms faster than DeepSeek-R1). Claude Opus 5 leads coding benchmarks at 82.4% 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 Claude Opus 5 DeepSeek-R1 Net Delta / Advantage
Input Cost / 1M Tokens $5.00 $0.55 DeepSeek-R1 is 9.1x cheaper
Output Cost / 1M Tokens $25.00 $2.19 DeepSeek-R1 (1041.6% lower)
Avg TTFT Response Latency 340ms 1800ms Claude Opus 5 (+1460ms faster)
SWE-bench Verified (Coding) 82.4% 49.2% Claude Opus 5 (+33.2% lead)
Inference Value Score (IVR) 42.7 / 100 99.9 / 100 DeepSeek-R1 (+57.2 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
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Estimated Monthly Spend

Claude Opus 5 $5.45

$5/1M in · $25/1M out

DeepSeek-R1 $67.50

$0.55/1M in · $2.19/1M out

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

When to Choose Claude Opus 5

Choose Claude Opus 5 when you need Pinnacle autonomous software architecture, whole-system enterprise codebases, PhD-level scientific synthesis, and complex multi-agent delegation. and have an infrastructure budget aligned with $5.00/1M tokens.

B

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 prioritize DeepSeek ecosystem integration at $0.55/1M tokens.

Related Questions & Decision Factors

Which is cheaper: Claude Opus 5 or DeepSeek-R1?

DeepSeek-R1 is cheaper at $0.55/1M input tokens compared to $5.00/1M for Claude Opus 5.

Which model has lower latency: Claude Opus 5 or DeepSeek-R1?

Claude Opus 5 delivers faster response times with an average TTFT of 340ms vs 1800ms for DeepSeek-R1.

When should you choose Claude Opus 5?

Choose Claude Opus 5 when you need Pinnacle autonomous software architecture, whole-system enterprise codebases, PhD-level scientific synthesis, and complex multi-agent delegation. and have an infrastructure budget aligned with $5.00/1M tokens.

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 prioritize DeepSeek ecosystem integration at $0.55/1M tokens.

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