Multimodal · Novita AI

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

Llama 3 Novita Chat scores 71.5 on MMMU, placing it #256 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
71.5
0–100 scale
Rank
#256
of 600
Percentile
57th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
15.4
points

Score distribution

The chart shows the top 10 models on MMMU, with Llama 3 Novita Chat 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 Chat sits at #256 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 15.4 points. The median model in this index scores 70.0, which puts Llama 3 Novita Chat above the midpoint.

Novita AI models average 62.3 on this benchmark. Llama 3 Novita Chat is 9.2 points above that provider line, so it is a stronger result than the average Novita AI model.

Among multimodal models, the average is 74.3. Llama 3 Novita Chat is 2.8 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 71.5 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 $3.50 per million input tokens, Llama 3 Novita Chat 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
Mixtral Groq Instruct Groq 16384 $3.25 72.5
Phi-4 Instruct Microsoft 128000 $3.79 75.3
Command R+ Cohere 32768 $3.96 76.3
Grok 4 Nano xAI 16384 $8.97 72.7
Llama 3 Novita Chat Novita AI 65536 $3.50 74.2
Llama 4 Scout Base Meta AI 32768 $3.95 75.3
Mixtral Turbo Together AI 65536 $3.20 72.4

Other benchmarks for Llama 3 Novita Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.5 291 52th
GPQA Diamond 69.8 271 55th
SWE-bench Verified 61.6 290 52th
HumanEval 77.8 291 52th
MATH-500 76.1 296 51th
AIME 2025 72.0 219 64th
LiveCodeBench 66.5 263 56th
IFEval 82.1 274 54th
TruthfulQA 78.9 223 63th
HellaSwag 83.5 306 49th
Arena Elo 1368.4 324 46th

FAQ

What score does Llama 3 Novita Chat get on MMMU?

Llama 3 Novita Chat scores 71.5 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does Llama 3 Novita Chat rank on MMMU?

It ranks #256 of 600 models, in the 57th percentile. The leader is GPT-5.2 Max at 86.9.

Is Llama 3 Novita Chat good at MMMU?

Yes, relative to the index: it is above the median and inside the top half of scores. 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 Chat cost?

Llama 3 Novita Chat costs $3.50 per million input tokens and $17.98 per million output tokens.

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