Multimodal · Novita AI

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

Llama 3 Novita Instruct scores 70.9 on MMMU, placing it #273 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
70.9
0–100 scale
Rank
#273
of 600
Percentile
55th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
16.0
points

Score distribution

The chart shows the top 10 models on MMMU, with Llama 3 Novita Instruct 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 Instruct sits at #273 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 16.0 points. The median model in this index scores 70.0, which puts Llama 3 Novita Instruct above the midpoint.

Novita AI models average 62.3 on this benchmark. Llama 3 Novita Instruct is 8.6 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 Instruct is 3.4 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 70.9 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 $3.94 per million input tokens, Llama 3 Novita Instruct 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
Yi-Large Chat 01.AI 65536 $3.49 73.5
Fusion Turbo OpenRouter 8192 $8.55 71.7
Nemotron 4 Chat NVIDIA 65536 $3.99 75.0
Fusion Reasoning OpenRouter 65536 $8.59 72.2
Llama 3 Novita Instruct Novita AI 32768 $3.94 75.6
Llama 3.1 Instruct Meta AI 200000 $4.05 75.7
Llama 3.1 Turbo Chat Together AI 200000 $3.95 76.1

Other benchmarks for Llama 3 Novita Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.5 260 57th
GPQA Diamond 73.8 175 71th
SWE-bench Verified 63.2 250 58th
HumanEval 82.2 182 70th
MATH-500 79.9 212 65th
AIME 2025 70.2 254 58th
LiveCodeBench 68.3 220 63th
IFEval 81.4 293 51th
TruthfulQA 80.1 174 71th
HellaSwag 84.5 266 56th
Arena Elo 1395.1 228 62th

FAQ

What score does Llama 3 Novita Instruct get on MMMU?

Llama 3 Novita Instruct scores 70.9 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does Llama 3 Novita Instruct rank on MMMU?

It ranks #273 of 600 models, in the 55th percentile. The leader is GPT-5.2 Max at 86.9.

Is Llama 3 Novita Instruct 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 Instruct cost?

Llama 3 Novita Instruct costs $3.94 per million input tokens and $19.63 per million output tokens.

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