Coding · Novita AI

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

Llama 3 Novita Instruct scores 68.3 on LiveCodeBench, placing it #220 of 600 models in the index. The benchmark average is 61.0 and the leader is Claude Sonnet 4.5 Reasoning at 85.1.

Score
68.3
0–100 scale
Rank
#220
of 600
Percentile
63th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
16.8
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Llama 3 Novita Instruct highlighted. Longer bars mean higher scores.

Claude Sonnet 4.5 Reasoning 85.1
Grok 4 Reasoning 85.1
Claude Opus 4.5 85.0
GPT-5.2 Max 84.8
Grok 4 Turbo 84.7
GPT-5.1 Turbo 84.6
GPT-5.2 Pro 84.6
GPT-5.2 Reasoning 84.6
Claude Opus 4.5 Pro 84.1
Gemini 3 Pro Max 83.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
2 Grok 4 Reasoning xAI 2000000 $19.67 87.8
3 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 Grok 4 Turbo xAI 1000000 $19.21 86.7
6 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1
7 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
8 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
9 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On LiveCodeBench, Llama 3 Novita Instruct sits at #220 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 16.8 points. The median model in this index scores 64.7, which puts Llama 3 Novita Instruct above the midpoint.

Novita AI models average 55.6 on this benchmark. Llama 3 Novita Instruct is 12.7 points above that provider line, so it is a stronger result than the average Novita AI model.

Among multimodal models, the average is 70.3. Llama 3 Novita Instruct is 2.0 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 68.3 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 LiveCodeBench. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3.1 Chat Meta AI 32768 $3.82 75.3
Sonar Perplexity 200000 $10.57 76.0
Llama 3.3 Meta AI 128000 $4.56 78.2
Hunyuan-Large Instruct Tencent 65536 $4.39 78.2
Llama 3 Novita Instruct Novita AI 32768 $3.94 75.6
Llama 3.1 Cerebras Chat Cerebras 32768 $4.07 76.0
Llama 4 Scout Chat Meta AI 32768 $4.66 78.0

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
IFEval 81.4 293 51th
TruthfulQA 80.1 174 71th
HellaSwag 84.5 266 56th
MMMU 70.9 273 55th
Arena Elo 1395.1 228 62th

FAQ

What score does Llama 3 Novita Instruct get on LiveCodeBench?

Llama 3 Novita Instruct scores 68.3 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Llama 3 Novita Instruct rank on LiveCodeBench?

It ranks #220 of 600 models, in the 63rd percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Llama 3 Novita Instruct good at LiveCodeBench?

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 LiveCodeBench score calculated?

LiveCodeBench is a coding 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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