DeepSeek R1 + claude-3-5-sonnet-20241022: benchmark scores, price and ranking
DeepSeek R1 + claude-3-5-sonnet-20241022 ranks #95 of 743 LLMs on the LLMs Tiger aggregate benchmark score (51.8), based on 1 benchmark results captured up to 2026-10-13.
- Type
- Frontier model
- Open weights
- No
- Aggregate rank
- #95 of 743 (score 51.8)
Across the 1 benchmark where at least ten models are scored, DeepSeek R1 + claude-3-5-sonnet-20241022 is in the top 10% on 0 and in the top half on 1.
DeepSeek R1 + claude-3-5-sonnet-20241022 benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| Aider Polyglot | 64.0% | #9 of 49 | Aider polyglot leaderboard | 2026-10-13 |
About DeepSeek R1 + claude-3-5-sonnet-20241022
DeepSeek R1 + claude-3-5-sonnet-20241022 is a frontier model. 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 R1 + claude-3-5-sonnet-20241022 stands
On our aggregate score, DeepSeek R1 + claude-3-5-sonnet-20241022 is #95 of 743 ranked models, in the top quarter. Its score is 51.8; the scale is centred on 50, so it sits 1.8 points above the typical model. That beats 87% of the ranked field.
DeepSeek R1 + claude-3-5-sonnet-20241022, benchmark by benchmark
Aider Polyglot puts DeepSeek R1 + claude-3-5-sonnet-20241022 at 64.0%, #9 of 49. That beats 82% of the models tested, but 19.1 points short of gemini-2.5-pro-preview-06-05 (83.1%). The results either side are claude-3-7-sonnet-20250219 (64.9%) and o1-2024-12-17 (61.7%). It covers edits across 6 languages (225 exercises). The board median is 44.9%, so DeepSeek R1 + claude-3-5-sonnet-20241022 is 19.1 points above it. Source: Aider polyglot leaderboard, captured 2026-10-13.
Reading these numbers
The 1 score on this page comes from 1 source: Aider polyglot 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
- #92 gpt-4o-2024-05-13 (51.9)
- #93 ollama/qwen2.5-coder:32b (51.9)
- #94 Claude 4.7 (Max) (51.8)
- #96 Qwen3.8-Flash-Next (51.8)
- #97 GPT-4 (0806) (51.8)
- #98 Kimi K2 (51.8)
Compare it on the live leaderboard → · How the aggregate score works