MiniMax-Text Base on LiveCodeBench: score, rank and what it means
MiniMax-Text Base scores 68.0 on LiveCodeBench, placing it #226 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 MiniMax-Text Base 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, MiniMax-Text Base sits at #226 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 17.1 points. The median model in this index scores 64.7, which puts MiniMax-Text Base above the midpoint.
MiniMax models average 60.0 on this benchmark. MiniMax-Text Base is 8.0 points above that provider line, so it is a stronger result than the average MiniMax model.
Among multimodal models, the average is 70.3. MiniMax-Text Base is 2.3 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 68.0 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 $3.66 per million input tokens, MiniMax-Text Base 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 4 Scout Chat | Meta AI | 32768 | $4.66 | 78.0 |
| DeepSeek-Coder | DeepSeek | 32768 | $4.55 | 78.1 |
| Mistral Small 3 Instruct | Mistral AI | 32768 | $3.97 | 75.1 |
| MiniMax-Text Instruct | MiniMax | 128000 | $4.59 | 77.7 |
| MiniMax-Text Base | MiniMax | 128000 | $3.66 | 74.9 |
| Qwen3-Coder Base | Alibaba Cloud | 200000 | $3.99 | 76.6 |
| Sonar Turbo | Perplexity | 65536 | $10.71 | 75.7 |
Other benchmarks for MiniMax-Text Base
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 77.1 | 273 | 55th | |
| GPQA Diamond | 68.4 | 307 | 49th | |
| SWE-bench Verified | 62.2 | 276 | 54th | |
| HumanEval | 79.9 | 236 | 61th | |
| MATH-500 | 79.6 | 219 | 64th | |
| AIME 2025 | 73.6 | 195 | 68th | |
| IFEval | 82.8 | 250 | 58th | |
| TruthfulQA | 75.7 | 316 | 47th | |
| HellaSwag | 86.2 | 209 | 65th | |
| MMMU | 70.1 | 299 | 50th | |
| Arena Elo | 1373.6 | 304 | 49th |
FAQ
What score does MiniMax-Text Base get on LiveCodeBench?
MiniMax-Text Base scores 68.0 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.
How does MiniMax-Text Base rank on LiveCodeBench?
It ranks #226 of 600 models, in the 62nd percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.
Is MiniMax-Text Base good at LiveCodeBench?
Yes, relative to the index: it is above the median and inside the top half of scores. 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 MiniMax-Text Base cost?
MiniMax-Text Base costs $3.66 per million input tokens and $19.71 per million output tokens.