Coding · Anyscale

Llama 3 Anyscale Chat on LiveCodeBench: score, rank and what it means

Llama 3 Anyscale Chat scores 66.3 on LiveCodeBench, placing it #268 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
66.3
0–100 scale
Rank
#268
of 600
Percentile
55th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
18.8
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Llama 3 Anyscale Chat 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 Anyscale Chat sits at #268 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 18.8 points. The median model in this index scores 64.7, which puts Llama 3 Anyscale Chat above the midpoint.

Anyscale models average 55.6 on this benchmark. Llama 3 Anyscale Chat is 10.7 points above that provider line, so it is a stronger result than the average Anyscale model.

Among multimodal models, the average is 70.3. Llama 3 Anyscale Chat is 4.0 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 66.3 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 $3.67 per million input tokens, Llama 3 Anyscale Chat 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 Turbo Base Together AI 16384 $3.30 73.0
Llama 3.3 Groq Instruct Groq 65536 $4.08 76.7
Nemotron 4 Instruct NVIDIA 65536 $4.10 76.4
Reka Flash Reasoning Reka AI 32768 $10.70 75.6
Llama 3 Anyscale Chat Anyscale 65536 $3.67 74.6
MiniMax-M2 Base MiniMax 65536 $4.20 76.4
Mixtral Groq Instruct Groq 16384 $3.25 72.5

Other benchmarks for Llama 3 Anyscale Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.5 258 57th
GPQA Diamond 68.8 302 50th
SWE-bench Verified 61.8 283 53th
HumanEval 79.5 247 59th
MATH-500 76.0 299 50th
AIME 2025 72.9 205 66th
IFEval 84.2 210 65th
TruthfulQA 75.9 308 49th
HellaSwag 85.1 238 60th
MMMU 72.6 230 62th
Arena Elo 1373.6 302 50th

FAQ

What score does Llama 3 Anyscale Chat get on LiveCodeBench?

Llama 3 Anyscale Chat scores 66.3 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Llama 3 Anyscale Chat rank on LiveCodeBench?

It ranks #268 of 600 models, in the 55th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Llama 3 Anyscale Chat 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 Anyscale Chat cost?

Llama 3 Anyscale Chat costs $3.67 per million input tokens and $14.56 per million output tokens.

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