Multimodal · Amazon

Nova Lite Max on MMMU: score, rank and what it means

Nova Lite Max scores 69.5 on MMMU, placing it #318 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
69.5
0–100 scale
Rank
#318
of 600
Percentile
47th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
17.4
points

Score distribution

The chart shows the top 10 models on MMMU, with Nova Lite Max highlighted. Longer bars mean higher scores.

GPT-5.2 Max 86.9
GPT-5.1 Reasoning 86.2
GPT-5.2 85.3
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.1 Max 85.1
Grok 4 Pro 84.9
Claude Opus 4.5 Reasoning 84.6
Claude Sonnet 4.5 Pro 84.5
GPT-5.2 Pro 84.4
GPT-5.2 Vision 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
3 GPT-5.2 OpenAI 2000000 $19.71 88.0
4 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
5 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
6 Grok 4 Pro xAI 1000000 $19.00 85.4
7 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
8 Claude Sonnet 4.5 Pro Anthropic 1000000 $18.73 86.7
9 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
10 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4

What this score means

On MMMU, Nova Lite Max sits at #318 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 17.4 points. The median model in this index scores 70.0, which puts Nova Lite Max below the midpoint.

Amazon models average 70.4 on this benchmark. Nova Lite Max is 0.9 points below that provider line, so it is a weaker result than the average Amazon model.

Among multimodal models, the average is 74.3. Nova Lite Max is 4.8 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 69.5 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 $9.79 per million input tokens, Nova Lite Max is above the median input price of $4.00 across the 600 models scored on MMMU. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Auto OpenRouter 32768 $7.53 70.2
Command R+ Base Cohere 65536 $3.24 71.6
Gemini 3 Flash Nano Google DeepMind 32768 $7.56 69.4
Llama 3 Modal Chat Modal 65536 $3.55 73.3
Nova Lite Max Amazon 200000 $9.79 73.4
Llama 3 Baseten Chat Baseten 200000 $3.55 73.2
DBRX Databricks 65536 $3.29 73.3

Other benchmarks for Nova Lite Max

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.2 272 55th
GPQA Diamond 69.8 273 55th
SWE-bench Verified 60.3 322 46th
HumanEval 80.2 227 62th
MATH-500 79.7 216 64th
AIME 2025 65.8 333 45th
LiveCodeBench 65.4 286 52th
IFEval 80.4 325 46th
TruthfulQA 75.1 330 45th
HellaSwag 83.8 288 52th
Arena Elo 1368.3 325 46th

FAQ

What score does Nova Lite Max get on MMMU?

Nova Lite Max scores 69.5 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does Nova Lite Max rank on MMMU?

It ranks #318 of 600 models, in the 47th percentile. The leader is GPT-5.2 Max at 86.9.

Is Nova Lite Max good at MMMU?

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 MMMU score calculated?

MMMU is a multimodal 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 Nova Lite Max cost?

Nova Lite Max costs $9.79 per million input tokens and $35.24 per million output tokens.

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