01.AI, open weights

# Yi-1.5-34B

> Yi-1.5-34B by 01.AI, released May 2024. Ranked #289 of 354 with a Noometry Index of 30.6. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/yi-1-5-34b
- Last updated: 2026-10-10
- Title: Yi-1.5-34B Benchmarks, Price & Rank (October 2026)

Yi-1.5-34B by 01.AI ranks 289th of 354 ranked models on the Noometry Index as of October 2026, with a score of 30.6. Its strongest category is reasoning, where it ranks 191st.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #289 of 354
- **Index score:** 30.6
- **Evidence:** Confirmed 21 results
- **Provider:** [01.AI](https://noometry.com/providers/01-ai)
- **Released:** May 13, 2024
- **Weights:** Open weights
- **Reasoning:** Unknown
- **Context window:** —
- **Max output:** —
- **Input price:** Not listed
- **Output price:** Not listed
- **Blended price:** Not listed
- **Output speed:** Not measured
- **Value:** Not ranked
- **Knowledge cutoff:** Unknown

## Category scores

Each category score combines every public result we have in that category.

Yi-1.5-34B category scores

1.  Coding 32.4
2.  Reasoning 22.5
3.  Math 27.5
4.  Knowledge 14.8
5.  Multilingual 32.3
6.  Instruction Following 59.2
7.  Long Context 34.6
8.  Writing & Preference 37.4
9.  0204060

Yi-1.5-34B category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 32.4 | #272 | 3 |
| [Reasoning](https://noometry.com/best/reasoning) | 22.5 | #191 | 1 |
| [Math](https://noometry.com/best/math) | 27.5 | #249 | 2 |
| [Knowledge](https://noometry.com/best/knowledge) | 14.8 | #295 | 2 |
| [Multilingual](https://noometry.com/best/multilingual) | 32.3 | #256 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 59.2 | #257 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 34.6 | #248 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 37.4 | #257 | 3 |

## Strengths and weaknesses

Categories where Yi-1.5-34B places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

Yi-1.5-34B: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Reasoning](https://noometry.com/best/reasoning) | 22.5 | −1.1 | #191 of 350, top 55% |
| [Math](https://noometry.com/best/math) | 27.5 | −9.1 | #249 of 327, top 77% |
| [Coding](https://noometry.com/best/coding) | 32.4 | −6.3 | #272 of 340, top 80% |

### Weakest categories

Yi-1.5-34B: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Knowledge](https://noometry.com/best/knowledge) | 14.8 | −22.5 | #295 of 314, top 94% |
| [Multilingual](https://noometry.com/best/multilingual) | 32.3 | −15.1 | #256 of 297, top 87% |
| [Instruction Following](https://noometry.com/best/instruction-following) | 59.2 | −12.1 | #257 of 305, top 85% |

## Closest competitors

The models ranked just above and below Yi-1.5-34B. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to Yi-1.5-34B
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [Qwen1.5-72B](https://noometry.com/models/qwen1-5-72b) | #285 | 30.8 | — | — | [Compare](https://noometry.com/compare/qwen1-5-72b-vs-yi-1-5-34b) |
| [Granite 3.0 2b Instruct](https://noometry.com/models/granite-3-0-2b-instruct) | #286 | 30.8 | — | — | [Compare](https://noometry.com/compare/granite-3-0-2b-instruct-vs-yi-1-5-34b) |
| [Codellama 34b Instruct](https://noometry.com/models/codellama-34b-instruct) | #287 | 30.8 | — | — | [Compare](https://noometry.com/compare/codellama-34b-instruct-vs-yi-1-5-34b) |
| [Llama 3.1-405B](https://noometry.com/models/llama-3-1-405b) | #288 | 30.7 | — | 78 | [Compare](https://noometry.com/compare/llama-3-1-405b-vs-yi-1-5-34b) |
| [Codestral](https://noometry.com/models/codestral) | #290 | 30.6 | $0.45 | 271 | [Compare](https://noometry.com/compare/codestral-vs-yi-1-5-34b) |
| [Llama-3.3-70B-Instruct](https://noometry.com/models/llama-3-3-70b-instruct) | #291 | 30.6 | $0.16 | — | [Compare](https://noometry.com/compare/llama-3-3-70b-instruct-vs-yi-1-5-34b) |
| [GPT-4 Turbo](https://noometry.com/models/gpt-4-turbo) | #292 | 30.5 | $15 | — | [Compare](https://noometry.com/compare/gpt-4-turbo-vs-yi-1-5-34b) |
| [Qwen1.5-32B](https://noometry.com/models/qwen1-5-32b) | #293 | 30.5 | — | — | [Compare](https://noometry.com/compare/qwen1-5-32b-vs-yi-1-5-34b) |

Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise)

## Benchmark results

Every published result we track, with its source. Bold rows are the ones used for ranking; where several exist we prefer independent runs over self-reported numbers.

### Coding

Yi-1.5-34B Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [BigCodeBench Instruct](https://noometry.com/benchmarks/bigcodebench-instruct) | 33.9% | #48 of 64, top 75% |  | [BigCodeBench](https://bigcode-bench.github.io/) | 2024-05-20 |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1169 | #251 of 294, top 86% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [BigCodeBench Complete](https://noometry.com/benchmarks/bigcodebench-complete) | 43.8% | #46 of 66, top 70% |  | [BigCodeBench](https://bigcode-bench.github.io/) | 2024-05-20 |
| [BigCodeBench Complete](https://noometry.com/benchmarks/bigcodebench-complete) | 40% |  |  | [BigCodeBench](https://bigcode-bench.github.io/) | 2024-05-20 |

### Reasoning

Yi-1.5-34B Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1160 | #251 of 297, top 85% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Math

Yi-1.5-34B Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1182 | #240 of 285, top 85% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [MATH Level 5](https://noometry.com/benchmarks/math-level-5) | 25.5% | #58 of 79, top 74% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |

### Knowledge

Yi-1.5-34B Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 32% | #167 of 186, top 90% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1144 | #240 of 273, top 88% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Multilingual

Yi-1.5-34B Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1121 | #256 of 297, top 87% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1213 | #227 of 285, top 80% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1156 | #206 of 223, top 93% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1111 | #209 of 231, top 91% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Japanese](https://noometry.com/benchmarks/arena-japanese) | 1021 | #196 of 211, top 93% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Korean](https://noometry.com/benchmarks/arena-korean) | 1005 | #200 of 213, top 94% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1091 | #259 of 283, top 92% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1121 | #210 of 226, top 93% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

Yi-1.5-34B Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1139 | #256 of 298, top 86% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

Yi-1.5-34B Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1143 | #257 of 291, top 89% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

Yi-1.5-34B Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1173 | #252 of 297, top 85% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1135 | #256 of 295, top 87% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1153 | #252 of 295, top 86% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## Compare Yi-1.5-34B

-   [Yi-1.5-34B vs Yi-34B](https://noometry.com/compare/yi-1-5-34b-vs-yi-34b)
-   [Yi-1.5-34B vs Llama 3.1-405B](https://noometry.com/compare/llama-3-1-405b-vs-yi-1-5-34b)
-   [Yi-1.5-34B vs Codestral](https://noometry.com/compare/codestral-vs-yi-1-5-34b)
-   [Yi-1.5-34B vs Codellama 34b Instruct](https://noometry.com/compare/codellama-34b-instruct-vs-yi-1-5-34b)
-   [Yi-1.5-34B vs Llama-3.3-70B-Instruct](https://noometry.com/compare/llama-3-3-70b-instruct-vs-yi-1-5-34b)
-   [Yi-1.5-34B vs Granite 3.0 2b Instruct](https://noometry.com/compare/granite-3-0-2b-instruct-vs-yi-1-5-34b)
-   [Yi-1.5-34B vs GPT-4 Turbo](https://noometry.com/compare/gpt-4-turbo-vs-yi-1-5-34b)
-   [Yi-1.5-34B vs GPT-6 Astra](https://noometry.com/compare/gpt-6-astra-vs-yi-1-5-34b)
-   [Yi-1.5-34B vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-yi-1-5-34b)
-   [Yi-1.5-34B vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-yi-1-5-34b)
-   [Yi-1.5-34B vs Kimi K3](https://noometry.com/compare/kimi-k3-vs-yi-1-5-34b)
-   [Yi-1.5-34B vs Grok 4.6](https://noometry.com/compare/grok-4-6-vs-yi-1-5-34b)
-   [Yi-1.5-34B vs Qwen3.8 Max](https://noometry.com/compare/qwen3-8-max-vs-yi-1-5-34b)
-   [Yi-1.5-34B vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-yi-1-5-34b)

## Other 01.AI models

-   [Yi-Lightning](https://noometry.com/models/yi-lightning)37.1
-   [Yi-34B](https://noometry.com/models/yi-34b)27.8
-   [Yi 6B](https://noometry.com/models/yi-6b)
-   [Yi-Large](https://noometry.com/models/yi-large)

## Frequently asked questions

### How good is Yi-1.5-34B?

Yi-1.5-34B by 01.AI ranks 289th of 354 ranked models on the Noometry Index as of October 2026, with a score of 30.6. Its strongest category is reasoning, where it ranks 191st.

### Is Yi-1.5-34B open source?

Yes. Yi-1.5-34B's weights are downloadable; check the license for commercial terms.

### What are Yi-1.5-34B's strengths and weaknesses?

Relative to other ranked models, Yi-1.5-34B places best in reasoning, math, coding and lowest in knowledge, multilingual, instruction following.

### What is Yi-1.5-34B best at?

Its best category is reasoning, where it ranks 191st on Noometry.

### Cite this page

Noometry. (2026). Yi-1.5-34B benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/yi-1-5-34b

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/yi-1-5-34b.md).