HomeModelsDeepSeek R1
DeepSeekPower Tier

DeepSeek R1

DeepSeek · Released January 2025

Input Price

$0.55

per 1M tokens

Output Price

$2.19

per 1M tokens

Context Window

128K

tokens

Speed Score

60

out of 100

Benchmarks

Avg 89/100
Coding92/100
Reasoning97/100
Extraction84/100
Creative82/100
VisionN/A

Pricing

Input

Prompt / context tokens

$0.55/ 1M

Output

Generated tokens

$2.19/ 1M

Best For

reasoningcodinganalysis

DeepSeek R1 in context

On a typical 70% input / 30% output mix, DeepSeek R1 blends to $1.04 per million tokens. That puts it above 25% of the 32 models tracked here, and 0 other models in the same flagship tier undercut it. Tier is a capability label, not a price band — the spread inside one tier is often wider than the gap between tiers, which is why picking by tier alone tends to overspend.

Input runs $0.55 per million and output $2.19 — a 4.0x ratio. That ratio matters more than either number on its own: a summarisation or classification workload reads far more than it writes and will track the input price, while a code-generation or long-form writing workload inverts that and will track the output price. Compare models on the ratio your own traffic actually has, not on the input price alone.

The benchmark profile is uneven rather than flat: reasoning at 97/100 against creative work at 82/100, a 15-point spread. An average hides that. If your workload sits on the strong end this model punches above its price; if it sits on the weak end, a cheaper model with a flatter profile will serve you better.

The context window is 128K tokens and the throughput score is 60/100. Context only earns its keep if you fill it, and filling it is also what makes a request expensive — a large window is an option, not a discount. For a flagship-tier model, judge the speed score against what you are doing: it decides everything for interactive chat and almost nothing for overnight batch work.

Nothing cheaper in the table matches DeepSeek R1 on combined coding and reasoning, so its $1.04 blended price is buying capability you cannot get for less right now. That is the case for paying it — and it is worth re-checking, because this is exactly the position that a new release takes away.

The closest comparison is Claude Opus 4.8 from Anthropic, at $11.00 per million against $1.04. 5 models in this tier score higher on combined coding and reasoning, which is the useful framing: the question is rarely whether a model is good, it is whether it is the cheapest thing that is good enough for the specific work you are sending it.

What it costs in production

At 10M + 2M tokens a month — a realistic mid-size production workload — DeepSeek R1 runs about $9.88. There is no batch discount on this model, so that figure is the floor — the usual lever of shifting background work to a cheaper asynchronous tier is not available here.

Price History

No price changes since launch

Strengths

  • Chain-of-thought reasoning competitive with o3-mini
  • Strong math, science, and logic tasks
  • Open weights — self-hostable
  • Much cheaper than comparable OpenAI reasoning models

Avoid For

  • Vision tasks
  • Creative writing
  • Real-time chat (slow due to reasoning steps)