AI DIRECTORY / VS
Model-selection trade-offs: capability · cost · latency
Anthropic Claude API vs DeepSeek API
Latest verified observations from the BizOps AI ledger. Empty cells mean the metric does not apply or the ledger hasn't captured it yet — never a guess.
| Consumption metric | Anthropic Claude API | DeepSeek API |
|---|---|---|
| Input tokens ($ / 1M) | $10 | $0.28 |
| Output tokens ($ / 1M) | $50 | $0.42 |
| Cache-read tokens ($ / 1M) | $12.5 | $0.028 |
| Max context window | — | 128,000 tok |
| 12-signal BizOps Score (method) | — | — |
Output : Input margin ratio
Where the bar crosses zero is parity; the further it extends toward Output, the more a generation-heavy workload costs beyond what the input rate alone suggests.
Token efficiency changes the real price
Anthropic Claude API bills output at 5.0× its input rate; DeepSeek API at 1.5×. Chatty, generation-heavy agents feel that multiplier directly.
Tokenizer tax: the same sentence is not the same number of tokens
everywhere. Non-English text typically needs 20–30% more tokens for identical content,
so a nominally cheaper $/1M rate can cost more per delivered character in multilingual workloads.
Benchmark with your corpus, not the vendor's.
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