Yi-Lightning 7B on LiveCodeBench: score, rank and what it means
Yi-Lightning 7B scores 45.8 on LiveCodeBench, placing it #490 of 600 models in the index. The benchmark average is 61.0 and the leader is Claude Sonnet 4.5 Reasoning at 85.1.
Score distribution
The chart shows the top 10 models on LiveCodeBench, with Yi-Lightning 7B highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | Claude Sonnet 4.5 Reasoning | Anthropic | 400000 | $19.48 | 87.7 |
| 2 | Grok 4 Reasoning | xAI | 2000000 | $19.67 | 87.8 |
| 3 | Claude Opus 4.5 | Anthropic | 400000 | $19.42 | 87.7 |
| 4 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 5 | Grok 4 Turbo | xAI | 1000000 | $19.21 | 86.7 |
| 6 | GPT-5.1 Turbo | OpenAI | 2000000 | $19.19 | 86.1 |
| 7 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 8 | GPT-5.2 Reasoning | OpenAI | 1000000 | $20.98 | 87.5 |
| 9 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 10 | Gemini 3 Pro Max | Google DeepMind | 2000000 | $20.57 | 87.9 |
What this score means
On LiveCodeBench, Yi-Lightning 7B sits at #490 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 39.3 points. The median model in this index scores 64.7, which puts Yi-Lightning 7B below the midpoint.
01.AI models average 55.4 on this benchmark. Yi-Lightning 7B is 9.6 points below that provider line, so it is a weaker result than the average 01.AI model.
Among small open-weight models, the average is 41.2. Yi-Lightning 7B is 4.6 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.
Read a 45.8 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.
Price context
At $1.00 per million input tokens, Yi-Lightning 7B is below the median input price of $4.00 across the 600 models scored on LiveCodeBench. The models immediately around it in the ranking are shown below so you can compare score and price together.
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Llama 3 Hyperbolic 7B | Hyperbolic | 4096 | $0.94 | 55.6 |
| Seed-OSS 8B | ByteDance | 8192 | $1.05 | 57.1 |
| Llama 3 DeepInfra 7B | DeepInfra | 16384 | $0.95 | 55.6 |
| Mistral Small 3 8B | Mistral AI | 8192 | $0.99 | 57.2 |
| Yi-Lightning 7B | 01.AI | 32768 | $1.00 | 55.9 |
| Hunyuan-Large 8B | Tencent | 4096 | $1.29 | 58.7 |
| Pythia Base | EleutherAI | 16384 | $0.99 | 55.9 |
Other benchmarks for Yi-Lightning 7B
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 62.0 | 503 | 16th | |
| GPQA Diamond | 50.6 | 517 | 14th | |
| SWE-bench Verified | 39.7 | 526 | 12th | |
| HumanEval | 58.0 | 525 | 13th | |
| MATH-500 | 60.0 | 466 | 22th | |
| AIME 2025 | 41.5 | 534 | 11th | |
| IFEval | 65.7 | 526 | 12th | |
| TruthfulQA | 62.5 | 496 | 17th | |
| HellaSwag | 71.6 | 508 | 15th | |
| MMMU | 57.0 | 471 | 22th | |
| Arena Elo | 1261.9 | 472 | 21th |
FAQ
What score does Yi-Lightning 7B get on LiveCodeBench?
Yi-Lightning 7B scores 45.8 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.
How does Yi-Lightning 7B rank on LiveCodeBench?
It ranks #490 of 600 models, in the 18th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.
Is Yi-Lightning 7B good at LiveCodeBench?
It is below the median for this benchmark, so test it carefully before relying on it for this capability. The result should be read alongside its price and context window.
How is the LiveCodeBench score calculated?
LiveCodeBench is a coding benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.
What does Yi-Lightning 7B cost?
Yi-Lightning 7B costs $1.00 per million input tokens and $3.69 per million output tokens.