Instructions to use inclusionAI/Ling-3.0-flash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Inference
- HuggingChat
- Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -44,7 +44,7 @@ The model summary information and architecture diagram are as follows:
|
|
| 44 |

|
| 45 |
|
| 46 |
## Evaluation
|
| 47 |
-
We have conducted a comprehensive evaluation of Ling-3.0-flash across multiple authoritative benchmarks. **Ling-3.0-flash** performs strongly on representative code/agent benchmarks such as **SWE-Bench Pro, SWE-Bench Multilingual, Tau3-banking-AA**, **MCP-Atlas** and **SkillsBench, etc**. In practice, Ling-3.0-flash delivers a strong user experience across frameworks including **Claude Code**,**Kilo Code**,**Qwen Code**,**Hermes Agent**,and **OpenClaw**, etc. Beyond agentic tasks, Ling-3.0-flash also delivers strong performance across **general knowledge**,**
|
| 48 |
|
| 49 |
<!-- 这是一张图片,ocr 内容为:DEEPSEEK CLAUDE- NEMOTRON- LING-3.0 GPT-5.4 STEP-3.7- V4-FLASH- RING-2.6-1T MINIMAX- 3-SUPER FLASH (HIGH) MINI (HIGH) FLASH (XHIGH) 120B-A12B (MAX) (MAX) 120B-A12B 124B-A5.1B 284B-A13B 198B-A11B 230B-A10B 1T-A63B SIZE CODING AGENT SWE-BENCH PRO 47.9 34.1 48.3 56.2 56.3 52.6 53.9 56.6 SWE-BENCH MULTILINGUAL 72.4 71.0 42.7 56.7 724 76.5 73.3 75.9 57.0 TERMINAL-BENCH 2.1 39.3 55.8 55.0 71.2 62.0 43.1 39.0 59.2 77.0 65.1 55.8 ARTIFACTSBENCH 66.8 64.0 51.6 68.7 25.3 19.2 MINIAPPENCH 28.0 14.8 46.3 20.7 58.8 5.8 52.2 ANTSWEBENCH 48.6 46.4 GENERAL AGENT 8.9 11.3 28.0 TAU3-BANKING-AA 11.3 10.1 22.9 14.6 30.5 55.2 53.6 69.0 65.5 MCP-ATLAS 52.6 61.2 49.4 66.7 53.5 24.9 20.3 44.8 54.4 28.4 44.8 11.9 SKILLSBENCH BFCL-V4 59.5 73.0 68.3 73.1 65.4 63.6 60.6 64.8 GDPVAL V2-AA 920 1377 1189 1017 1107 699 1159 SEARCH AGENT WIDESEARCH 75.2 70.2 62.2 73.6 19.5 74.4 56.8 79.5 72.2(W/ CTX) 74.0(W/CTX) BROWSECOMP 73.2 71.7 31.3 75.8 76.3 82.0(MA) 82.1(MA) DRACO 71.3 75.8 61.3 66.8 70.4 INSTRUCTION FOLLOWING 75.7 74.5 IFBENCH 72.6 67.3 79.2 69.0 44.6 56.6 91.4 93.6 93.3 SYSBENCH 86.5 93.9 90.7 86.2 94.9 77.3 71.3 LIFEBENCH 69.2 72.5 71.8 74.1 66.9 60.2 REASONING 91.7 94.2 AIME26 93.2 95.0 95.8 92.9 96.5 94.4 HMMT-FEB26 87.0 71.9 93.5 85.6 94.8 87.9 84.9 83.9 83.7 74.5 87.0 IMO-ANSWERBENCH 77.0 82.1 86.1 66.9 22.7 HLE 19.9 20.6 18.3 18.3 34.8 28.1 30.0 LIVECODEBENCH 82.8 78.1 80.8 87.0 75.6 83.7 78.7 91.6 (2408-2505) LONG CONTEXT & MULTI-TURN DIALOGUE 39.2 MRCR 128K 27.7 90.1 56.1 40.8 90.8 92.5 88.5 92.7 81.1 MRCR 256K 25.7 76.5 50.5 35.8 84.3 70.7 AA-LCR 65.1 64.3 68.7 63.7 63.0 58.3 63.4 89.3 MULTI-IF 86.2 87.7 82.9 84.6 84.8 82.3 84.6 -->
|
| 50 |

|
|
|
|
| 44 |

|
| 45 |
|
| 46 |
## Evaluation
|
| 47 |
+
We have conducted a comprehensive evaluation of Ling-3.0-flash across multiple authoritative benchmarks. **Ling-3.0-flash** performs strongly on representative code/agent benchmarks such as **SWE-Bench Pro, SWE-Bench Multilingual, Tau3-banking-AA**, **MCP-Atlas** and **SkillsBench, etc**. In practice, Ling-3.0-flash delivers a strong user experience across frameworks including **Claude Code**,**Kilo Code**,**Qwen Code**,**Hermes Agent**,and **OpenClaw**, etc. Beyond agentic tasks, Ling-3.0-flash also delivers strong performance across **general knowledge**,**mathematical reasoning**,**instruction following**,and **long-context understanding**.
|
| 48 |
|
| 49 |
<!-- 这是一张图片,ocr 内容为:DEEPSEEK CLAUDE- NEMOTRON- LING-3.0 GPT-5.4 STEP-3.7- V4-FLASH- RING-2.6-1T MINIMAX- 3-SUPER FLASH (HIGH) MINI (HIGH) FLASH (XHIGH) 120B-A12B (MAX) (MAX) 120B-A12B 124B-A5.1B 284B-A13B 198B-A11B 230B-A10B 1T-A63B SIZE CODING AGENT SWE-BENCH PRO 47.9 34.1 48.3 56.2 56.3 52.6 53.9 56.6 SWE-BENCH MULTILINGUAL 72.4 71.0 42.7 56.7 724 76.5 73.3 75.9 57.0 TERMINAL-BENCH 2.1 39.3 55.8 55.0 71.2 62.0 43.1 39.0 59.2 77.0 65.1 55.8 ARTIFACTSBENCH 66.8 64.0 51.6 68.7 25.3 19.2 MINIAPPENCH 28.0 14.8 46.3 20.7 58.8 5.8 52.2 ANTSWEBENCH 48.6 46.4 GENERAL AGENT 8.9 11.3 28.0 TAU3-BANKING-AA 11.3 10.1 22.9 14.6 30.5 55.2 53.6 69.0 65.5 MCP-ATLAS 52.6 61.2 49.4 66.7 53.5 24.9 20.3 44.8 54.4 28.4 44.8 11.9 SKILLSBENCH BFCL-V4 59.5 73.0 68.3 73.1 65.4 63.6 60.6 64.8 GDPVAL V2-AA 920 1377 1189 1017 1107 699 1159 SEARCH AGENT WIDESEARCH 75.2 70.2 62.2 73.6 19.5 74.4 56.8 79.5 72.2(W/ CTX) 74.0(W/CTX) BROWSECOMP 73.2 71.7 31.3 75.8 76.3 82.0(MA) 82.1(MA) DRACO 71.3 75.8 61.3 66.8 70.4 INSTRUCTION FOLLOWING 75.7 74.5 IFBENCH 72.6 67.3 79.2 69.0 44.6 56.6 91.4 93.6 93.3 SYSBENCH 86.5 93.9 90.7 86.2 94.9 77.3 71.3 LIFEBENCH 69.2 72.5 71.8 74.1 66.9 60.2 REASONING 91.7 94.2 AIME26 93.2 95.0 95.8 92.9 96.5 94.4 HMMT-FEB26 87.0 71.9 93.5 85.6 94.8 87.9 84.9 83.9 83.7 74.5 87.0 IMO-ANSWERBENCH 77.0 82.1 86.1 66.9 22.7 HLE 19.9 20.6 18.3 18.3 34.8 28.1 30.0 LIVECODEBENCH 82.8 78.1 80.8 87.0 75.6 83.7 78.7 91.6 (2408-2505) LONG CONTEXT & MULTI-TURN DIALOGUE 39.2 MRCR 128K 27.7 90.1 56.1 40.8 90.8 92.5 88.5 92.7 81.1 MRCR 256K 25.7 76.5 50.5 35.8 84.3 70.7 AA-LCR 65.1 64.3 68.7 63.7 63.0 58.3 63.4 89.3 MULTI-IF 86.2 87.7 82.9 84.6 84.8 82.3 84.6 -->
|
| 50 |

|