DeepSeek Chat V2 0628: benchmark scores, price and ranking

DeepSeek Chat V2 0628 from DeepSeek ranks #127 of 743 LLMs on the LLMs Tiger aggregate benchmark score (51.4), based on 1 benchmark results captured up to 2026-10-13.

Organisation
DeepSeek
Type
Open-weight / local model
Open weights
Yes
Aggregate rank
#127 of 743 (score 51.4)

Across the 1 benchmark where at least ten models are scored, DeepSeek Chat V2 0628 is in the top 10% on 0 and in the top half on 1.

DeepSeek Chat V2 0628 benchmark results

DeepSeek Chat V2 0628 benchmark scores, ranked against all models measured on each benchmark
BenchmarkScoreRankSourceCaptured
Aider Code Editing69.9%#15 of 92Aider Aider Code Editing leaderboard2026-10-13

About DeepSeek Chat V2 0628

DeepSeek Chat V2 0628 is an open-weight model that can run on your own hardware from DeepSeek. 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 Chat V2 0628 stands

On our aggregate score, DeepSeek Chat V2 0628 is #127 of 743 ranked models, in the top quarter. Its score is 51.4; the scale is centred on 50, so it sits 1.4 points above the typical model. That beats 83% of the ranked field. Among the 33 ranked DeepSeek models it is #7. The next one up is DeepSeek v4 Pro (max) at 51.6. The next one down is DeepSeek V3 0324 at 50.8.

DeepSeek Chat V2 0628, benchmark by benchmark

Aider Code Editing puts DeepSeek Chat V2 0628 at 69.9%, #15 of 92. That beats 84% of the models tested, but 14.3 points short of Claude 3.5-Sonnet-20241022 (84.2%). The results either side are Qwen2.5 Coder 32B Instruct (71.4%) and gemini-2.0-flash-exp (69.9%). It covers Aider official benchmark. The board median is 55.6%, so DeepSeek Chat V2 0628 is 14.3 points above it. Source: Aider Aider Code Editing leaderboard, captured 2026-10-13.

Reading these numbers

The 1 score on this page comes from 1 source: Aider Aider Code Editing 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

More from DeepSeek

Compare it on the live leaderboard → · How the aggregate score works