DeepSeek-R1-Distill-Qwen-1.5B: benchmark scores, price and ranking

DeepSeek-R1-Distill-Qwen-1.5B from DeepSeek ranks #628 of 743 LLMs on the LLMs Tiger aggregate benchmark score (44.6), based on 3 benchmark results captured up to 2026-10-13.

Organisation: DeepSeek
Type: Open-weight / local model
Open weights: Yes
Released: 2025-01-20 (source: epoch)
Cheapest API price: $0.090 in / $0.090 out per million tokens (via nscale, observed 2026-10-13T20:47Z)
Aggregate rank: #628 of 743 (score 44.6)

Relative to other models, DeepSeek-R1-Distill-Qwen-1.5B is strongest on OTIS Mock AIME (#129 of 189) and weakest on GPQA Diamond (#240 of 275).

Across the 3 benchmarks where at least ten models are scored, DeepSeek-R1-Distill-Qwen-1.5B is in the top 10% on 0 and in the top half on 0.

Its cheapest listed input price, $0.090 per million tokens, is lower than that of 83% of the 427 models with a listed price.

DeepSeek-R1-Distill-Qwen-1.5B benchmark results

DeepSeek-R1-Distill-Qwen-1.5B benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
OTIS Mock AIME	21.4%	#129 of 189	Epoch AI Benchmarking Hub	2026-10-13
Chess Puzzles	0.0%	#100 of 122	Epoch AI Benchmarking Hub	2026-10-13
GPQA Diamond	33.6%	#240 of 275	Epoch AI Benchmarking Hub	2026-10-13

About DeepSeek-R1-Distill-Qwen-1.5B

DeepSeek-R1-Distill-Qwen-1.5B is an open-weight model that can run on your own hardware from DeepSeek. It was released on 2025-01-20, according to Epoch AI. The cheapest API listing we track charges $0.090 per million input tokens and $0.090 per million output tokens, through nscale. We hold 3 benchmark results for it across 2 areas, and none is in the top tenth of its board.

Where DeepSeek-R1-Distill-Qwen-1.5B stands

On our aggregate score, DeepSeek-R1-Distill-Qwen-1.5B is #628 of 743 ranked models, in the lower half. Its score is 44.6; the scale is centred on 50, so it sits 5.4 points below the typical model. That beats 15% of the ranked field. Among the 33 ranked DeepSeek models it is #29. The next one up is DeepSeek-V3 at 45.1. The next one down is DeepSeek-V3.2 (Thinking; Novita) at 44.5.

DeepSeek-R1-Distill-Qwen-1.5B, benchmark by benchmark

DeepSeek-R1-Distill-Qwen-1.5B lands below the middle on OTIS Mock AIME: 21.4%, #129 of 189, with 68% of the field scoring higher. Claude Fable 5.1 (max) leads at 100.0%; the closest result above is claude-3-7-sonnet-20250219 at 21.9%. It covers competition maths (AIME 2024-25 style). The board median is 57.8%, so DeepSeek-R1-Distill-Qwen-1.5B is 36.4 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Chess Puzzles is a weak spot. DeepSeek-R1-Distill-Qwen-1.5B scores 0.0%, #100 of 122, behind 81% of the models measured. The leader, GPT-6 Astra (max), reaches 72.0%. It covers chess tactics puzzles. The board median is 12.5%, so DeepSeek-R1-Distill-Qwen-1.5B is 12.5 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

GPQA Diamond is a weak spot. DeepSeek-R1-Distill-Qwen-1.5B scores 33.6%, #240 of 275, behind 87% of the models measured. The leader, GPT-6 Astra (max), reaches 95.8%. It covers expert-level science questions. The board median is 71.7%, so DeepSeek-R1-Distill-Qwen-1.5B is 38.1 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Strengths and weaknesses

Reasoning, maths and science: weak, ahead of 22% of the field on average across 2 benchmarks. Its best board here is OTIS Mock AIME (#129 of 189) and its weakest is GPQA Diamond (#240 of 275).

Price and value

The median input price across the 427 priced models is $0.500 per million tokens, so DeepSeek-R1-Distill-Qwen-1.5B 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 Llama-2-13b-chat ($0.100) and Qwen3.5 9B ($0.100).

Release history

The DeepSeek model released before it was DeepSeek-R1-Distill-Llama-70B on 2025-01-20, which scores 48.0. The next one was DeepSeek-R1-Distill-Qwen-14B on 2025-01-20, at 47.0.

Reading these numbers

The 3 scores on this page come from 1 source: Epoch AI Benchmarking Hub (3). No official leaderboard supplied any of them, so treat them as third-party measurements. With 3 results the aggregate rank can move a lot when one new score arrives.

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