DeepSeek Platform API

LLM 6.2/10

deepseek-chat (V3.2): $0.028 cache / $0.28 input miss / $0.42 output per 1M; deepseek-reasoner (R1): $0.14/$0.55/$2.19, cheapest top-tier reasoning

DeepSeek Platform API scores 6.2/10 for free value in LLM. The main constraint: Paid — Pay-as-you-go, ~$0.28/M output (chat); R1 $0.55/$2.19. deepseek-chat (V3.2): $0.028 cache / $0.28 input miss / $0.42 output per 1M; deepseek-reasoner (R1): $0.14/$0.55/$2.19, cheapest top-tier reasoning.

Category LLM Kind Paid plan

Free value score

6.2 / 10

Show the math

Model Quality 4.4/10

value = 25 artificial_analysis_score

weighted score = 0.2 * 4.4/10

Access 10/10

value = 10/10

weighted score = 0.1 * 10/10

Price Efficiency 6.2/10

value = 4123711 tok/$

weighted score = 0.7 * 6.2/10

Key metrics

DeepSeek V3.2 25 Best model

$0.2425/M Price

What you get

Paid — Pay-as-you-go, ~$0.28/M output (chat); R1 $0.55/$2.19. deepseek-chat (V3.2): $0.028 cache / $0.28 input miss / $0.42 output per 1M; deepseek-reasoner (R1): $0.14/$0.55/$2.19, cheapest top-tier reasoning

~3.6M output tokens per $1 (at $0.28/M); ~14M input tokens/$1 — among the cheapest frontier-grade APIs; R1 ~0.46M output/$1

Gotchas

No gotchas documented yet. Contribute one if you know a constraint we missed.

Sources

"For one million tokens, input cache hits now cost $0.028, cache misses $0.28, and outputs $0.42."
https://venturebeat.com/ai/deepseeks-new-v3-2-exp-model-cuts-api-pricing-in-half-to-less-than-3-cents
"deepseek-reasoner 64K 32K 8K $0.14 $0.55 $2.19"
https://api-docs.deepseek.com/quick_start/pricing-details-usd
"In reasoning mode, DeepSeek V3.2 scores 66 on the Artificial Analysis Intelligence Index"
https://www.linkedin.com/pulse/deepseek-v32-2-most-intelligent-open-weights-model-qnwoc

paid value llm-providers

Open service ← All LLM

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