Instruction following · MiniMax

MiniMax-Text 1.5B on IFEval: score, rank and what it means

MiniMax-Text 1.5B scores 63.4 on IFEval, placing it #543 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
63.4
0–100 scale
Rank
#543
of 600
Percentile
10th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
32.7
points

Score distribution

The chart shows the top 10 models on IFEval, with MiniMax-Text 1.5B 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 1.5B sits at #543 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 32.7 points. The median model in this index scores 81.2, which puts MiniMax-Text 1.5B below the midpoint.

MiniMax models average 78.1 on this benchmark. MiniMax-Text 1.5B is 14.7 points below that provider line, so it is a weaker result than the average MiniMax model.

Among small open-weight models, the average is 64.9. MiniMax-Text 1.5B is 1.5 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 63.4 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 $0.58 per million input tokens, MiniMax-Text 1.5B 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
Command R+ 1.5B Cohere 32768 $0.51 50.0
Qwen3-Coder 1.5B Alibaba Cloud 32768 $0.76 52.8
Llama 3.1 Turbo 1.5B Together AI 16384 $0.46 49.8
Hunyuan-Large 1.5B Tencent 8192 $0.54 50.5
MiniMax-Text 1.5B MiniMax 32768 $0.58 51.5
OLMo 2 7B Allen Institute for AI 16384 $0.56 51.7
Arctic 7B Snowflake 8192 $0.49 50.3

Other benchmarks for MiniMax-Text 1.5B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 58.0 550 8th
GPQA Diamond 46.5 553 8th
SWE-bench Verified 36.1 546 9th
HumanEval 54.1 548 9th
MATH-500 54.0 527 12th
AIME 2025 38.1 550 8th
LiveCodeBench 40.2 537 11th
TruthfulQA 58.0 548 9th
HellaSwag 68.5 553 8th
MMMU 49.4 556 7th
Arena Elo 1204.8 548 9th

FAQ

What score does MiniMax-Text 1.5B get on IFEval?

MiniMax-Text 1.5B scores 63.4 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does MiniMax-Text 1.5B rank on IFEval?

It ranks #543 of 600 models, in the 10th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is MiniMax-Text 1.5B good at IFEval?

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 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 1.5B cost?

MiniMax-Text 1.5B costs $0.58 per million input tokens and $2.90 per million output tokens.

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