Preference · Novita AI

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

Llama 3 Novita Instruct scores 1395.1 on Arena Elo, placing it #228 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
1395.1
0–100 scale
Rank
#228
of 600
Percentile
62th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
106.8
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Llama 3 Novita Instruct 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, Llama 3 Novita Instruct sits at #228 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 106.8 points. The median model in this index scores 1373.8, which puts Llama 3 Novita Instruct above the midpoint.

Novita AI models average 1316.3 on this benchmark. Llama 3 Novita Instruct is 78.8 points above that provider line, so it is a stronger result than the average Novita AI model.

Among multimodal models, the average is 1409.6. Llama 3 Novita Instruct is 14.5 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 1395.1 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 Arena Elo. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3 Replicate Chat Replicate 200000 $3.74 74.7
Llama 4 Scout Base Meta AI 32768 $3.95 75.3
Llama 3.1 Instruct Meta AI 200000 $4.05 75.7
Sonar Max Perplexity 32768 $11.60 77.8
Llama 3 Novita Instruct Novita AI 32768 $3.94 75.6
Qwen3-Max Mini Alibaba Cloud 128000 $11.13 76.5
Hunyuan-Large Tencent 65536 $4.33 78.2

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
MMMU 70.9 273 55th

FAQ

What score does Llama 3 Novita Instruct get on Arena Elo?

Llama 3 Novita Instruct scores 1395.1 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Llama 3 Novita Instruct rank on Arena Elo?

It ranks #228 of 600 models, in the 62nd percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Llama 3 Novita Instruct good at Arena Elo?

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 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 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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