Deepseek R1 (05/28): benchmark scores, price and ranking
Deepseek R1 (05/28) from DeepSeek ranks #426 of 743 LLMs on the LLMs Tiger aggregate benchmark score (47.5), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- DeepSeek
- Type
- Open-weight / local model
- Open weights
- Yes
- Cheapest API price
- $0.400 in / $0.400 out per million tokens (via hyperbolic, observed 2026-10-13T21:47Z)
- Aggregate rank
- #426 of 743 (score 47.5)
Across the 1 benchmark where at least ten models are scored, Deepseek R1 (05/28) is in the top 10% on 0 and in the top half on 0.
Its cheapest listed input price, $0.400 per million tokens, is lower than that of 53% of the 427 models with a listed price.
Deepseek R1 (05/28) benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| ARC-AGI-2 | 1.1% | #73 of 87 | ARC Prize official leaderboard | 2026-10-13 |
About Deepseek R1 (05/28)
Deepseek R1 (05/28) is an open-weight model that can run on your own hardware from DeepSeek. The cheapest API listing we track charges $0.400 per million input tokens and $0.400 per million output tokens, through hyperbolic. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.
Where Deepseek R1 (05/28) stands
On our aggregate score, Deepseek R1 (05/28) is #426 of 743 ranked models, around the middle of the table. Its score is 47.5; the scale is centred on 50, so it sits 2.5 points below the typical model. That beats 43% of the ranked field. Among the 33 ranked DeepSeek models it is #23. The next one up is DeepSeek-V3.2 at 47.7. The next one down is DeepSeek-V3.1-Terminus at 47.4.
Deepseek R1 (05/28), benchmark by benchmark
ARC-AGI-2 is a weak spot. Deepseek R1 (05/28) scores 1.1%, #73 of 87, behind 83% of the models measured. The leader, GPT-6 Astra (max), reaches 95.0%. It covers abstract reasoning, ARC Prize public eval set. The board median is 22.8%, so Deepseek R1 (05/28) is 21.7 points below it. Source: ARC Prize official leaderboard, captured 2026-10-13.
Price and value
The median input price across the 427 priced models is $0.500 per million tokens, so Deepseek R1 (05/28) costs less than the typical listing. Models that score within 1.5 points or better and cost less: Qwen2.5-Coder-7B-Instruct ($0.010, 49.5), DeepSeek V4.1 Flash (high) ($0.010, 48.9), Qwen2.5-Coder-3B-Instruct ($0.010, 46.5). Similar scores cost more on gpt-3.5-turbo-0125 ($0.500) and Kimi K2 Instruct ($0.500).
Reading these numbers
The 1 score on this page comes from 1 source: ARC Prize official leaderboard (1). 1 of them come from an official leaderboard and 0 from datasets or third-party runs. With 1 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #423 Meta-Llama-3-70B (47.5)
- #424 Codex Mini (Latest) (47.5)
- #425 Qwen3-235b-a22b Instruct (25/07) (47.5)
- #427 Gemini 1.5 Pro (47.5)
- #428 GPT-4.5 (47.5)
- #429 yi-coder:9b-chat-q4_0 (47.5)
More from DeepSeek
- DeepSeek V4 Pro 0813 (max) (#23, 54.3)
- DeepSeek V4 Flash 0731 (max) (#42, 53.1)
- DeepSeek-V3.2-Exp (high) (#67, 52.4)
- deepseek-v4.1-flash-max (#75, 52.2)
- DeepSeek-V2.5-1210 (#101, 51.7)
- DeepSeek v4 Pro (max) (#108, 51.6)
Compare it on the live leaderboard → · How the aggregate score works