Coding · MiniMax

MiniMax-Text on LiveCodeBench: score, rank and what it means

MiniMax-Text scores 71.4 on LiveCodeBench, placing it #162 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
71.4
0–100 scale
Rank
#162
of 600
Percentile
73th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
13.7
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with MiniMax-Text highlighted. Longer bars mean higher scores.

Claude Sonnet 4.5 Reasoning 85.1
Grok 4 Reasoning 85.1
Claude Opus 4.5 85.0
GPT-5.2 Max 84.8
Grok 4 Turbo 84.7
GPT-5.1 Turbo 84.6
GPT-5.2 Pro 84.6
GPT-5.2 Reasoning 84.6
Claude Opus 4.5 Pro 84.1
Gemini 3 Pro Max 83.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg 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 sits at #162 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 13.7 points. The median model in this index scores 64.7, which puts MiniMax-Text above the midpoint.

MiniMax models average 60.0 on this benchmark. MiniMax-Text is 11.4 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 is 1.1 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 71.4 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 $4.44 per million input tokens, MiniMax-Text 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.

ModelProviderContextInput / 1MAvg score
Grok 4 Mini xAI 65536 $12.21 77.9
Yi-Lightning 01.AI 32768 $4.22 77.2
GLM-4.5 Base Zhipu AI 32768 $3.99 74.9
Llama 3 Anyscale Instruct Anyscale 200000 $3.91 75.7
MiniMax-Text MiniMax 32768 $4.44 77.0
Llama 3.3 Groq Chat Groq 32768 $4.06 76.8
QwQ Alibaba Cloud 128000 $4.57 78.6

Other benchmarks for MiniMax-Text

BenchmarkScoreRankPercentileRelative
MMLU-Pro 78.9 213 65th
GPQA Diamond 75.6 131 78th
SWE-bench Verified 68.2 142 76th
HumanEval 80.5 223 63th
MATH-500 79.0 235 61th
AIME 2025 71.1 234 61th
IFEval 83.2 240 60th
TruthfulQA 78.8 225 63th
HellaSwag 85.8 224 63th
MMMU 74.0 192 68th
Arena Elo 1420.4 147 76th

FAQ

What score does MiniMax-Text get on LiveCodeBench?

MiniMax-Text scores 71.4 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does MiniMax-Text rank on LiveCodeBench?

It ranks #162 of 600 models, in the 73rd percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is MiniMax-Text 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 cost?

MiniMax-Text costs $4.44 per million input tokens and $18.68 per million output tokens.

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