Coding · Baseten

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

Llama 3 Baseten scores 63.2 on LiveCodeBench, placing it #335 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
63.2
0–100 scale
Rank
#335
of 600
Percentile
44th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
21.9
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Llama 3 Baseten 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 Baseten sits at #335 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 21.9 points. The median model in this index scores 64.7, which puts Llama 3 Baseten below the midpoint.

Baseten models average 54.7 on this benchmark. Llama 3 Baseten is 8.5 points above that provider line, so it is a stronger result than the average Baseten model.

Among multimodal models, the average is 70.3. Llama 3 Baseten is 7.1 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 63.2 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 $3.62 per million input tokens, Llama 3 Baseten 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 Anyscale Base Anyscale 65536 $3.23 72.9
Llama 3 DeepInfra Base DeepInfra 16384 $2.95 71.8
Firefunction Turbo Fireworks AI 32768 $8.44 70.7
Fusion Max OpenRouter 65536 $9.14 72.5
Llama 3 Baseten Baseten 128000 $3.62 74.9
ERNIE 4.5 Mini Baidu 32768 $8.62 71.0
Auto Pro OpenRouter 8192 $8.41 71.2

Other benchmarks for Llama 3 Baseten

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.6 255 58th
GPQA Diamond 70.8 241 60th
SWE-bench Verified 62.7 261 57th
HumanEval 81.0 213 65th
MATH-500 78.0 258 57th
AIME 2025 72.2 213 65th
IFEval 83.9 216 64th
TruthfulQA 76.6 290 52th
HellaSwag 84.2 270 55th
MMMU 73.7 200 67th
Arena Elo 1400.4 207 66th

FAQ

What score does Llama 3 Baseten get on LiveCodeBench?

Llama 3 Baseten scores 63.2 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Llama 3 Baseten rank on LiveCodeBench?

It ranks #335 of 600 models, in the 44th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Llama 3 Baseten good at LiveCodeBench?

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 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 Baseten cost?

Llama 3 Baseten costs $3.62 per million input tokens and $14.04 per million output tokens.

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