Commonsense · MiniMax

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

MiniMax-Text scores 85.8 on HellaSwag, placing it #224 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
85.8
0–100 scale
Rank
#224
of 600
Percentile
63th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
10.3
points

Score distribution

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

GPT-5.2 Max 96.1
GPT-5.2 Turbo 95.5
GPT-5.2 Pro 95.3
Claude Opus 4.5 Pro 95.2
Claude Sonnet 4.5 Reasoning 95.2
Grok 4 Reasoning 95.2
GPT-5.2 Vision 94.6
Gemini 3 Pro Turbo 94.6
GPT-5.1 Reasoning 94.4
o4 Pro 94.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 Grok 4 Reasoning xAI 2000000 $19.67 87.8
7 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
8 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
9 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
10 o4 Pro OpenAI 1000000 $19.37 87.3

What this score means

On HellaSwag, MiniMax-Text sits at #224 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 10.3 points. The median model in this index scores 83.6, which puts MiniMax-Text above the midpoint.

MiniMax models average 81.3 on this benchmark. MiniMax-Text is 4.5 points above that provider line, so it is a stronger result than the average MiniMax model.

Among multimodal models, the average is 86.8. MiniMax-Text is 1.0 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 85.8 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 $4.44 per million input tokens, MiniMax-Text is above the median input price of $4.00 across the 600 models scored on HellaSwag. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
MiniMax-Text Instruct MiniMax 128000 $4.59 77.7
Yi-Lightning Instruct 01.AI 128000 $4.16 76.5
Gemini 3 Pro Mini Google DeepMind 128000 $12.27 78.1
Kimi K1.5 Base Moonshot AI 65536 $4.34 77.4
MiniMax-Text MiniMax 32768 $4.44 77.0
Llama 3 DeepInfra DeepInfra 128000 $3.67 74.0
Seed-OSS Chat ByteDance 65536 $3.49 74.4

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
LiveCodeBench 71.4 162 73th
IFEval 83.2 240 60th
TruthfulQA 78.8 225 63th
MMMU 74.0 192 68th
Arena Elo 1420.4 147 76th

FAQ

What score does MiniMax-Text get on HellaSwag?

MiniMax-Text scores 85.8 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does MiniMax-Text rank on HellaSwag?

It ranks #224 of 600 models, in the 63rd percentile. The leader is GPT-5.2 Max at 96.1.

Is MiniMax-Text good at HellaSwag?

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 HellaSwag score calculated?

HellaSwag is a commonsense 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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