DeepSeek-V2: benchmark scores, price and ranking
DeepSeek-V2 from deepseek-ai ranks #505 of 743 LLMs on the LLMs Tiger aggregate benchmark score (46.6), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- deepseek-ai
- Type
- Open-weight / local model
- Open weights
- Yes
- Released
- 2024-05-06 (source: curated)
- Aggregate rank
- #505 of 743 (score 46.6)
Across the 1 benchmark where at least ten models are scored, DeepSeek-V2 is in the top 10% on 0 and in the top half on 0.
DeepSeek-V2 benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| GSM8K | 79.2% | #17 of 17 | HuggingFace GSM8K leaderboard | 2026-10-13 |
About DeepSeek-V2
DeepSeek-V2 is an open-weight model that can run on your own hardware from deepseek-ai. It was released on 2024-05-06, according to the developer's announcement. No API price is listed for it yet. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.
Where DeepSeek-V2 stands
On our aggregate score, DeepSeek-V2 is #505 of 743 ranked models, in the lower half. Its score is 46.6; the scale is centred on 50, so it sits 3.4 points below the typical model. That beats 32% of the ranked field. Among the 7 ranked deepseek-ai models it is #4. The next one up is DeepSeek-V2-Chat at 47.8. The next one down is DeepSeek-Coder-V2-Lite-Instruct at 46.0.
DeepSeek-V2, benchmark by benchmark
GSM8K is a weak spot. DeepSeek-V2 scores 79.2%, #17 of 17, behind 94% of the models measured. The leader, mimo-v2.5-pro, reaches 99.6%. It covers grade-school math word problems. The board median is 86.9%, so DeepSeek-V2 is 7.7 points below it. Source: HuggingFace GSM8K leaderboard, captured 2026-10-13.
Release history
The next one was DeepSeek-V2-Chat on 2024-05-06, at 47.8.
Reading these numbers
The 1 score on this page comes from 1 source: HuggingFace GSM8K leaderboard (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 1 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #502 mimo-v2-pro (46.6)
- #503 Yi-1.5-9B-Chat (46.6)
- #504 Gemini Robotics-ER 1.6 Preview (46.6)
- #506 qwen3.6-plus (46.6)
- #507 Phi-3.5-mini-instruct (46.5)
- #508 grok-3 (46.5)
More from deepseek-ai
- DeepSeek R1 (0528) (#33, 53.6)
- DeepSeek-V2.5 (#162, 50.9)
- DeepSeek-V2-Chat (#404, 47.8)
- DeepSeek-Coder-V2-Lite-Instruct (#546, 46.0)
- deepseek-math-7b-instruct (#604, 45.2)
- DeepSeek-Coder-V2-Lite-Base (#608, 45.0)
Compare it on the live leaderboard → · How the aggregate score works