DeepSeek R1: token counter & pricing
DeepSeek · approximate, within ±3% of reference · pricing as of 2026-05-31.
- Provider
- DeepSeek
- API model ID
deepseek-ai/DeepSeek-R1- Context window
- 128,000 tokens
- Input price
- $3.00 per 1M tokens
- Output price
- $7.00 per 1M tokens
- Tokenizer accuracy
- approximate, within ±3% of reference
- Pricing as of
- 2026-05-31
Open the counter to count tokens for DeepSeek R1 in real time.
What is DeepSeek R1?
DeepSeek R1 is DeepSeek's reasoning-tier model, extended internal chain-of-thought before responding, similar architecture to OpenAI's o-series. $3 input / $7 output per 1M tokens via Together.ai (DeepSeek's direct API offers competitive pricing, verify the provider you use).
For cost-conscious reasoning workloads where you want the o-series style of explicit reasoning but at a fraction of o3-pro's price, DeepSeek R1 is the strongest open-weights candidate as of mid-2026.
How tokens are counted here
DeepSeek uses a BPE tokenizer derived from the LLaMA family with extensions. We approximate in your browser, accurate within roughly ±3% for typical English text. Marked ≈±3%.
For exact counts, use the DeepSeek tokenizer via Hugging Face: AutoTokenizer.from_pretrained("deepseek-ai/DeepSeek-R1").
Pricing notes
$3 input / $7 output per 1M (Together.ai indicative).
R1 generates substantial "reasoning tokens", internal chain-of-thought that counts toward your output bill but doesn't appear in the visible reply. Typical 5-15× output overhead vs the visible reply. The calculator's per-call cost is visible-tokens only; budget several multiples on output for real-world spend.
For 1,000 input + 200 visible output (realistic billed output 1k-3k):
- Visible-only estimate: $0.0044 per call
- With 10× reasoning overhead: $0.018 per call
128K context window.
When to use DeepSeek R1
- Cost-sensitive reasoning workloads, far cheaper than o3 ($2/$8) when you account for o3's higher per-output rate at scale.
- Open-weights reasoning where you want fine-tune-able or self-host-able reasoning models.
- Math / logic / code generation where DeepSeek R1 measurably wins on your evals vs cheaper non-reasoning models.
When not to use it:
- Production workloads with cross-border-data-flow compliance concerns about China-hosted providers.
- Workloads not designed around explicit reasoning, DeepSeek V3 ($0.27/$1.10 DeepSeek API direct) is dramatically cheaper for non-reasoning tasks.
- Real-time chat, reasoning latency is high.
Common questions
DeepSeek R1 vs o3 / o4-mini?
| Model | Input | Output | Reasoning style |
|---|---|---|---|
| o4-mini | $1.10 | $4.40 | OpenAI, hidden reasoning |
| o3 | $2 | $8 | OpenAI, hidden reasoning |
| DeepSeek R1 | $3 | $7 | DeepSeek, hidden reasoning |
| o3-pro | $20 | $80 | OpenAI premium |
R1 is roughly comparable to o3 on price. o3 has more mature integration with OpenAI's tool-use and structured outputs; R1 has open weights. Choose by ecosystem.
Is DeepSeek R1 safe for production data?
Read DeepSeek's data-handling policy and your own compliance requirements. R1 via Together (US-hosted) processes prompts in the US; R1 via DeepSeek's direct API processes in China. The distinction matters for some compliance regimes.
Self-hosting?
R1 is open-weights under DeepSeek's permissive license, substantial GPU infrastructure required for inference (multi-GPU H100 or similar). Realistic self-hosting target for organizations with serious infra.
Compare DeepSeek R1 to other models
- DeepSeek V3 (DeepSeek, $0.27/$1.10)
- DeepSeek V3.1 (DeepSeek, $0.60/$1.70)
- Claude Sonnet 4.6 (Anthropic, $3.00/$15.00)
- GPT-5.4 (OpenAI, $2.50/$15.00)
- GPT-4o (OpenAI, $2.50/$10.00)