DeepSeek
DeepSeek R1
DeepSeek R1 is a DeepSeek model with 128K context, $0.55 in / $2.19 out per million tokens, last verified September 3, 2026. Open weights: yes. Public-board scores are linked to the publisher; vendor-only figures stay in the watch-out, not on the board.
DeepSeek R1 is the open-weight (MIT) reasoning model — o1-class quality, 128K context.
Catalog record checked September 3, 2026Individual provider fields may change
| Specification | DeepSeek R1 |
|---|---|
| Provider | DeepSeek |
| Tier | Balanced |
| Context window | 128K |
| Max output | 33K |
| Input / 1M tokens | $0.55 |
| Output / 1M tokens | $2.19 |
| Weights | Open |
| Parameters | 671B total / 37B active (MoE) |
| Reasoning levels | low, high, max |
| Modalities | text |
| License | MIT |
| API model id | deepseek-reasoner |
| Released | January 20, 2025 |
Pricing tiers: Launch pricing $0.55/$2.19 per MTok (cache hit $0.14). Third-party hosts list ~$0.70/$2.50. Verify which weights a host serves.
Verified evidence
Published benchmark results
Each result keeps its source and measurement date visible. A missing benchmark is not treated as a zero.
| Benchmark | Score | Measured | Source |
|---|---|---|---|
| Artificial Analysis Intelligence Index | 42 | 2026-08-14 | Artificial Analysis · View source |
Best for
- Harder reasoning on a budget
- Open-weight deployments
- Agentic coding
Watch out
Source receipts
Catalog figures for this model were checked against the following sources.
- AI/TLDR — DeepSeek R1 (accessed 2026-08-29)
- PricePerToken — DeepSeek R1 (accessed 2026-08-29)
Common questions
DeepSeek R1
Answered from the verified figures on this page rather than general guidance.
How much does DeepSeek R1 cost per million tokens?
DeepSeek R1 is listed at $0.55 per million input tokens and $2.19 per million output tokens at standard rates. Output tokens usually dominate real bills, so weigh the output rate more heavily than the input rate. Launch pricing $0.55/$2.19 per MTok (cache hit $0.14). Third-party hosts list ~$0.70/$2.50. Verify which weights a host serves.
What is DeepSeek R1's context window?
DeepSeek R1 accepts about 128K tokens of context. That only matters if you routinely send very long documents, large codebases, or multi-turn histories that approach that limit.
What is DeepSeek R1 best for?
DeepSeek R1 is a balanced tier from DeepSeek. It suits harder reasoning on a budget, open-weight deployments, agentic coding. The deepseek-reasoner alias has been remapped to newer models on first-party API; pin the host/checkpoint you cite.
Can I self-host DeepSeek R1?
DeepSeek R1 publishes open weights, but self-hosting depends on the licence, hardware footprint, quantisation quality, and serving stack. A hosted API is often cheaper until you have measured throughput and concurrency on your own hardware.