Instruction following · MiniMax

MiniMax-Text 7B on IFEval: score, rank and what it means

MiniMax-Text 7B scores 68.0 on IFEval, placing it #489 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
68.0
0–100 scale
Rank
#489
of 600
Percentile
19th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
28.1
points

Score distribution

The chart shows the top 10 models on IFEval, with MiniMax-Text 7B 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 7B sits at #489 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 28.1 points. The median model in this index scores 81.2, which puts MiniMax-Text 7B below the midpoint.

MiniMax models average 78.1 on this benchmark. MiniMax-Text 7B is 10.1 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 7B is 3.1 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 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 $1.10 per million input tokens, MiniMax-Text 7B 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
Kimi K2 1.5B Moonshot AI 4096 $0.99 56.8
Llama 3.1 8B Meta AI 8192 $1.15 58.7
Llama 3 Novita 7B Novita AI 8192 $0.92 56.3
Llama 3.1 Turbo 8B Together AI 32768 $1.16 58.8
MiniMax-Text 7B MiniMax 16384 $1.10 57.7
Command R+ 7B Cohere 8192 $0.95 56.2
Phi-4 7B Microsoft 8192 $0.91 56.8

Other benchmarks for MiniMax-Text 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 63.0 489 19th
GPQA Diamond 54.6 471 22th
SWE-bench Verified 42.7 494 18th
HumanEval 60.2 503 16th
MATH-500 59.9 467 22th
AIME 2025 48.5 466 22th
LiveCodeBench 47.6 470 22th
TruthfulQA 63.0 493 18th
HellaSwag 73.6 463 23th
MMMU 53.4 515 14th
Arena Elo 1253.5 484 19th

FAQ

What score does MiniMax-Text 7B get on IFEval?

MiniMax-Text 7B scores 68.0 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does MiniMax-Text 7B rank on IFEval?

It ranks #489 of 600 models, in the 19th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is MiniMax-Text 7B 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 7B cost?

MiniMax-Text 7B costs $1.10 per million input tokens and $4.16 per million output tokens.

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