Preference · MiniMax

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

MiniMax-Text 7B scores 1253.5 on Arena Elo, placing it #484 of 600 models in the index. The benchmark average is 1349.9 and the leader is Claude Opus 4.5 Max at 1501.9.

Score
1253.5
0–100 scale
Rank
#484
of 600
Percentile
19th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
248.4
points

Score distribution

The chart shows the top 10 models on Arena Elo, with MiniMax-Text 7B highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Max 1501.9
GPT-5.2 Reasoning 1500.4
GPT-5.2 Turbo 1500.3
Claude Opus 4.5 Reasoning 1497.5
GPT-5.2 Max 1495.3
Gemini 3 Pro Turbo 1494.9
Grok 4 Max 1491.4
Claude Opus 4.5 1491.2
GPT-5.1 Pro 1490.0
Grok 4 Reasoning 1487.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
2 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
3 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
6 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
7 Grok 4 Max xAI 2000000 $19.70 86.6
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
10 Grok 4 Reasoning xAI 2000000 $19.67 87.8

What this score means

On Arena Elo, MiniMax-Text 7B sits at #484 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 248.4 points. The median model in this index scores 1373.8, which puts MiniMax-Text 7B below the midpoint.

MiniMax models average 1349.4 on this benchmark. MiniMax-Text 7B is 95.9 points below that provider line, so it is a weaker result than the average MiniMax model.

Among small open-weight models, the average is 1224.7. MiniMax-Text 7B is 28.8 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 1253.5 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 Arena Elo. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Phi-4 8B Microsoft 32768 $0.96 54.9
Auto Nano OpenRouter 4096 $2.83 57.1
Command R+ 8B Cohere 8192 $1.21 57.7
Llama 3.1 Cerebras 8B Cerebras 32768 $1.02 58.2
MiniMax-Text 7B MiniMax 16384 $1.10 57.7
Mistral Small 3 8B Mistral AI 8192 $0.99 57.2
Codestral 8B Mistral AI 4096 $1.18 59.0

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
IFEval 68.0 489 19th
TruthfulQA 63.0 493 18th
HellaSwag 73.6 463 23th
MMMU 53.4 515 14th

FAQ

What score does MiniMax-Text 7B get on Arena Elo?

MiniMax-Text 7B scores 1253.5 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does MiniMax-Text 7B rank on Arena Elo?

It ranks #484 of 600 models, in the 19th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is MiniMax-Text 7B good at Arena Elo?

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 Arena Elo score calculated?

Arena Elo is a preference 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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