Preference · Novita AI

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

Llama 3 Novita Base scores 1360.8 on Arena Elo, placing it #342 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
1360.8
0–100 scale
Rank
#342
of 600
Percentile
43th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
141.1
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Llama 3 Novita Base 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 Base sits at #342 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 141.1 points. The median model in this index scores 1373.8, which puts Llama 3 Novita Base below the midpoint.

Novita AI models average 1316.3 on this benchmark. Llama 3 Novita Base is 44.5 points above that provider line, so it is a stronger result than the average Novita AI model.

Among open-weight models, the average is 1338.0. Llama 3 Novita Base is 22.8 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 1360.8 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 Arena Elo. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Mixtral Instruct Mistral AI 65536 $3.35 72.9
ERNIE 4.5 Mini Baidu 32768 $8.62 71.0
Firesearch Pro Fireworks AI 32768 $7.67 70.4
Firesearch Max Fireworks AI 8192 $7.80 69.9
Llama 3 Novita Base Novita AI 8192 $3.06 70.3
Seed-OSS Base ByteDance 16384 $3.14 72.2
Reka Core Mini Reka AI 8192 $7.48 70.1

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
MMMU 67.7 350 42th

FAQ

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

Llama 3 Novita Base scores 1360.8 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Llama 3 Novita Base rank on Arena Elo?

It ranks #342 of 600 models, in the 43rd percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Llama 3 Novita Base good at Arena Elo?

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 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 Base cost?

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

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