DeepSeek-R1-Distill-Llama-70B: benchmark scores, price and ranking

DeepSeek-R1-Distill-Llama-70B from DeepSeek ranks #388 of 743 LLMs on the LLMs Tiger aggregate benchmark score (48.0), based on 2 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: $0.200 in / $0.600 out per million tokens (via deepinfra, observed 2026-10-13T20:47Z)
Aggregate rank: #388 of 743 (score 48.0)

Across the 2 benchmarks where at least ten models are scored, DeepSeek-R1-Distill-Llama-70B is in the top 10% on 0 and in the top half on 0.

Its cheapest listed input price, $0.200 per million tokens, is lower than that of 67% of the 427 models with a listed price.

DeepSeek-R1-Distill-Llama-70B benchmark results

DeepSeek-R1-Distill-Llama-70B benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
OTIS Mock AIME	51.4%	#105 of 189	Epoch AI Benchmarking Hub	2026-10-13
GPQA Diamond	55.7%	#176 of 275	Epoch AI Benchmarking Hub	2026-10-13

About DeepSeek-R1-Distill-Llama-70B

DeepSeek-R1-Distill-Llama-70B 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 $0.200 per million input tokens and $0.600 per million output tokens, through deepinfra. We hold 2 benchmark results for it across 1 area, and none is in the top tenth of its board.

Where DeepSeek-R1-Distill-Llama-70B stands

On our aggregate score, DeepSeek-R1-Distill-Llama-70B is #388 of 743 ranked models, around the middle of the table. Its score is 48.0; the scale is centred on 50, so it sits 2.0 points below the typical model. That beats 48% of the ranked field. Among the 33 ranked DeepSeek models it is #18. The next one up is DeepSeek-V3.1 at 48.0. The next one down is DeepSeek-R1 at 48.0.

DeepSeek-R1-Distill-Llama-70B, benchmark by benchmark

DeepSeek-R1-Distill-Llama-70B lands below the middle on OTIS Mock AIME: 51.4%, #105 of 189, with 55% of the field scoring higher. Claude Fable 5.1 (max) leads at 100.0%; the closest result above is qwen3-4b-instruct-2507 at 52.2%. It covers competition maths (AIME 2024-25 style). The board median is 57.8%, so DeepSeek-R1-Distill-Llama-70B is 6.4 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

DeepSeek-R1-Distill-Llama-70B lands below the middle on GPQA Diamond: 55.7%, #176 of 275, with 64% of the field scoring higher. GPT-6 Astra (max) leads at 95.8%; the closest result above is phi-4 at 56.1%. It covers expert-level science questions. The board median is 71.7%, so DeepSeek-R1-Distill-Llama-70B is 16.0 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Strengths and weaknesses

Reasoning, maths and science: uneven, ahead of 40% of the field on average across 2 benchmarks. Its best board here is OTIS Mock AIME (#105 of 189) and its weakest is GPQA Diamond (#176 of 275).

Price and value

The median input price across the 427 priced models is $0.500 per million tokens, so DeepSeek-R1-Distill-Llama-70B 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 Grok 3 mini ($0.250) and GPT-5.1 Codex Mini ($0.250).

Release history

The DeepSeek model released before it was DeepSeek-R1 on 2025-01-20, which scores 48.0. The next one was DeepSeek-R1-Distill-Qwen-1.5B on 2025-01-20, at 44.6.

Reading these numbers

The 2 scores on this page come from 1 source: Epoch AI Benchmarking Hub (2). No official leaderboard supplied any of them, so treat them as third-party measurements. With 2 results the aggregate rank can move a lot when one new score arrives.

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