deepseek-llm-67b-chat: benchmark scores, price and ranking
deepseek-llm-67b-chat from DeepSeek ranks #696 of 743 LLMs on the LLMs Tiger aggregate benchmark score (42.8), based on 3 benchmark results captured up to 2026-10-13.
- Organisation
- DeepSeek
- Type
- Frontier model
- Open weights
- No
- Released
- 2023-11-29 (source: epoch)
- Aggregate rank
- #696 of 743 (score 42.8)
Relative to other models, deepseek-llm-67b-chat is strongest on Chess Puzzles (#99 of 122) and weakest on GPQA Diamond (#266 of 275).
Across the 3 benchmarks where at least ten models are scored, deepseek-llm-67b-chat is in the top 10% on 0 and in the top half on 0.
deepseek-llm-67b-chat benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| Chess Puzzles | 0.0% | #99 of 122 | Epoch AI Benchmarking Hub | 2026-10-13 |
| OTIS Mock AIME | 0.8% | #182 of 189 | Epoch AI Benchmarking Hub | 2026-10-13 |
| GPQA Diamond | 24.6% | #266 of 275 | Epoch AI Benchmarking Hub | 2026-10-13 |
About deepseek-llm-67b-chat
deepseek-llm-67b-chat is a frontier model from DeepSeek. It was released on 2023-11-29, according to Epoch AI. No API price is listed for it yet. We hold 3 benchmark results for it across 2 areas, and none is in the top tenth of its board.
Where deepseek-llm-67b-chat stands
On our aggregate score, deepseek-llm-67b-chat is #696 of 743 ranked models, in the lower half. Its score is 42.8; the scale is centred on 50, so it sits 7.2 points below the typical model. That beats 6% of the ranked field. Among the 33 ranked DeepSeek models it is #33. The next one up is deepseek-r1-0528-qwen3-8b at 43.6.
deepseek-llm-67b-chat, benchmark by benchmark
Chess Puzzles is a weak spot. deepseek-llm-67b-chat scores 0.0%, #99 of 122, behind 80% 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-llm-67b-chat is 12.5 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
OTIS Mock AIME is a weak spot. deepseek-llm-67b-chat scores 0.8%, #182 of 189, behind 96% of the models measured. The leader, Claude Fable 5.1 (max), reaches 100.0%. It covers competition maths (AIME 2024-25 style). The board median is 57.8%, so deepseek-llm-67b-chat is 56.9 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
GPQA Diamond is a weak spot. deepseek-llm-67b-chat scores 24.6%, #266 of 275, behind 96% 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-llm-67b-chat is 47.1 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
Strengths and weaknesses
Reasoning, maths and science: weak, ahead of 3% of the field on average across 2 benchmarks. Its best board here is OTIS Mock AIME (#182 of 189) and its weakest is GPQA Diamond (#266 of 275).
Release history
The next one was DeepSeek Chat V2.5 on 2024-09-05, at 46.3.
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.
Models ranked nearby
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- #697 Mistral Large 3 (42.7)
- #698 granite-4.0-1b (42.7)
- #699 Qwen2.5-Coder-0.5B-Instruct (42.6)
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Compare it on the live leaderboard → · How the aggregate score works