GPT-5.2 Nano on LiveCodeBench: score, rank and what it means
GPT-5.2 Nano scores 64.2 on LiveCodeBench, placing it #311 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 GPT-5.2 Nano 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, GPT-5.2 Nano sits at #311 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 20.9 points. The median model in this index scores 64.7, which puts GPT-5.2 Nano below the midpoint.
OpenAI models average 77.2 on this benchmark. GPT-5.2 Nano is 13.0 points below that provider line, so it is a weaker result than the average OpenAI model.
Among multimodal models, the average is 70.3. GPT-5.2 Nano is 6.1 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.
Read a 64.2 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 $9.73 per million input tokens, GPT-5.2 Nano is above 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 |
|---|---|---|---|---|
| DBRX Chat | Databricks | 65536 | $3.07 | 71.7 |
| Gemma 3 Instruct | Google DeepMind | 128000 | $3.72 | 74.1 |
| Fusion | OpenRouter | 16384 | $8.41 | 71.1 |
| GPT-4.1 Nano | OpenAI | 32768 | $7.42 | 70.5 |
| GPT-5.2 Nano | OpenAI | 128000 | $9.73 | 73.5 |
| Grok 3 Mini | xAI | 200000 | $9.67 | 73.9 |
| Nemotron 4 Base | NVIDIA | 8192 | $3.29 | 73.0 |
Other benchmarks for GPT-5.2 Nano
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 75.4 | 320 | 47th | |
| GPQA Diamond | 68.4 | 306 | 49th | |
| SWE-bench Verified | 62.4 | 268 | 55th | |
| HumanEval | 79.7 | 241 | 60th | |
| MATH-500 | 74.8 | 332 | 45th | |
| AIME 2025 | 72.0 | 218 | 64th | |
| IFEval | 80.4 | 322 | 46th | |
| TruthfulQA | 78.2 | 249 | 59th | |
| HellaSwag | 82.7 | 328 | 45th | |
| MMMU | 70.7 | 279 | 54th | |
| Arena Elo | 1389.1 | 252 | 58th |
FAQ
What score does GPT-5.2 Nano get on LiveCodeBench?
GPT-5.2 Nano scores 64.2 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.
How does GPT-5.2 Nano rank on LiveCodeBench?
It ranks #311 of 600 models, in the 48th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.
Is GPT-5.2 Nano 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 GPT-5.2 Nano cost?
GPT-5.2 Nano costs $9.73 per million input tokens and $49.56 per million output tokens.