ollama/yi-coder:9b-chat-fp16: benchmark scores, price and ranking
ollama/yi-coder:9b-chat-fp16 ranks #451 of 743 LLMs on the LLMs Tiger aggregate benchmark score (47.2), based on 1 benchmark results captured up to 2026-10-13.
- Type
- Open-weight / local model
- Open weights
- Yes
- Aggregate rank
- #451 of 743 (score 47.2)
Across the 1 benchmark where at least ten models are scored, ollama/yi-coder:9b-chat-fp16 is in the top 10% on 0 and in the top half on 0.
ollama/yi-coder:9b-chat-fp16 benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| Aider Code Editing | 43.6% | #69 of 92 | Aider Aider Code Editing leaderboard | 2026-10-13 |
About ollama/yi-coder:9b-chat-fp16
ollama/yi-coder:9b-chat-fp16 is an open-weight model that can run on your own hardware. 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 ollama/yi-coder:9b-chat-fp16 stands
On our aggregate score, ollama/yi-coder:9b-chat-fp16 is #451 of 743 ranked models, in the lower half. Its score is 47.2; the scale is centred on 50, so it sits 2.8 points below the typical model. That beats 39% of the ranked field.
ollama/yi-coder:9b-chat-fp16, benchmark by benchmark
ollama/yi-coder:9b-chat-fp16 lands below the middle on Aider Code Editing: 43.6%, #69 of 92, with 74% of the field scoring higher. Claude 3.5-Sonnet-20241022 leads at 84.2%; the closest result above is WizardLM-2-8x22B at 44.4%. It covers Aider official benchmark. The board median is 55.6%, so ollama/yi-coder:9b-chat-fp16 is 12.0 points below 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
- #448 Kimi K2 0905 (Novita) (47.3)
- #449 gpt-5.6-terra-xhigh (codex-harness) (47.3)
- #450 Llama-3.2-3B-Instruct (47.2)
- #452 Codestral 25.01 (47.2)
- #453 gpt-5.6-luna-xhigh (codex-harness) (47.2)
- #454 seed-2.1-pro-preview (47.2)
Compare it on the live leaderboard → · How the aggregate score works