Instruction following · MiniMax

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

MiniMax-Text Base scores 82.8 on IFEval, placing it #250 of 600 models in the index. The benchmark average is 78.6 and the leader is Claude Opus 4.5 Pro at 96.1.

Score
82.8
0–100 scale
Rank
#250
of 600
Percentile
58th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
13.3
points

Score distribution

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

Claude Opus 4.5 Pro 96.1
Claude Opus 4.5 Reasoning 95.9
GPT-5.2 Pro 95.6
GPT-5.2 Max 95.2
GPT-5.2 Reasoning 95.0
GPT-5.1 Pro 94.8
Gemini 3 Pro Max 94.7
GPT-5.1 Reasoning 94.6
Claude Opus 4.5 Max 94.5
o4 Reasoning 94.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
8 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 o4 Reasoning OpenAI 1000000 $19.69 87.5

What this score means

On IFEval, MiniMax-Text Base sits at #250 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 13.3 points. The median model in this index scores 81.2, which puts MiniMax-Text Base above the midpoint.

MiniMax models average 78.1 on this benchmark. MiniMax-Text Base is 4.7 points above that provider line, so it is a stronger result than the average MiniMax model.

Among multimodal models, the average is 85.2. MiniMax-Text Base is 2.4 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 82.8 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 $3.66 per million input tokens, MiniMax-Text Base is below the median input price of $4.00 across the 600 models scored on IFEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Phi-4 Microsoft 200000 $3.96 75.4
Mistral Small 3 Chat Mistral AI 200000 $3.54 73.7
ERNIE 4.0 Baidu 32768 $11.37 76.7
Llama 3 Novita Novita AI 128000 $3.70 74.4
MiniMax-Text Base MiniMax 128000 $3.66 74.9
Reka Flash Pro Reka AI 200000 $10.82 75.2
Seed-OSS Instruct ByteDance 128000 $3.79 76.0

Other benchmarks for MiniMax-Text Base

BenchmarkScoreRankPercentileRelative
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
LiveCodeBench 68.0 226 62th
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 IFEval?

MiniMax-Text Base scores 82.8 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does MiniMax-Text Base rank on IFEval?

It ranks #250 of 600 models, in the 58th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is MiniMax-Text Base good at IFEval?

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 IFEval score calculated?

IFEval is a instruction following 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.

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