Multimodal · Novita AI

Llama 3 Novita Base on MMMU: score, rank and what it means

Llama 3 Novita Base scores 67.7 on MMMU, placing it #350 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
67.7
0–100 scale
Rank
#350
of 600
Percentile
42th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
19.2
points

Score distribution

The chart shows the top 10 models on MMMU, with Llama 3 Novita Base 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, Llama 3 Novita Base sits at #350 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 19.2 points. The median model in this index scores 70.0, which puts Llama 3 Novita Base below the midpoint.

Novita AI models average 62.3 on this benchmark. Llama 3 Novita Base is 5.4 points above that provider line, so it is a stronger result than the average Novita AI model.

Among open-weight models, the average is 65.1. Llama 3 Novita Base is 2.6 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 67.7 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 $3.06 per million input tokens, Llama 3 Novita Base is below 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
Llama 3 Baseten Base Baseten 16384 $3.16 72.4
Yi-Large 01.AI 32768 $3.40 73.5
Fusion Max OpenRouter 65536 $9.14 72.5
Gemma 3 Base Google DeepMind 65536 $3.09 71.1
Llama 3 Novita Base Novita AI 8192 $3.06 70.3
Llama 3 DeepInfra Base DeepInfra 16384 $2.95 71.8
Nova Lite Turbo Amazon 8192 $9.14 73.2

Other benchmarks for Llama 3 Novita Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 74.4 344 43th
GPQA Diamond 67.8 314 48th
SWE-bench Verified 56.9 368 39th
HumanEval 73.3 368 39th
MATH-500 71.9 367 39th
AIME 2025 62.5 371 38th
LiveCodeBench 60.4 363 40th
IFEval 79.2 351 42th
TruthfulQA 76.5 293 51th
HellaSwag 82.3 341 43th
Arena Elo 1360.8 342 43th

FAQ

What score does Llama 3 Novita Base get on MMMU?

Llama 3 Novita Base scores 67.7 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does Llama 3 Novita Base rank on MMMU?

It ranks #350 of 600 models, in the 42nd percentile. The leader is GPT-5.2 Max at 86.9.

Is Llama 3 Novita Base 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 Llama 3 Novita Base cost?

Llama 3 Novita Base costs $3.06 per million input tokens and $13.44 per million output tokens.

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