Coding · Modal

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

Llama 3 Modal scores 67.4 on LiveCodeBench, placing it #240 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
67.4
0–100 scale
Rank
#240
of 600
Percentile
60th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
17.7
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Llama 3 Modal 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 Modal sits at #240 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 17.7 points. The median model in this index scores 64.7, which puts Llama 3 Modal above the midpoint.

Modal models average 56.1 on this benchmark. Llama 3 Modal is 11.3 points above that provider line, so it is a stronger result than the average Modal model.

Among multimodal models, the average is 70.3. Llama 3 Modal is 2.9 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 67.4 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 $3.82 per million input tokens, Llama 3 Modal 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
Reka Flash Reka AI 128000 $9.95 74.1
Seed-OSS ByteDance 32768 $3.74 75.3
Magistral Chat Mistral AI 128000 $4.33 76.8
Yi-Lightning Chat 01.AI 32768 $3.79 75.5
Llama 3 Modal Modal 32768 $3.82 74.9
Codestral Mistral AI 65536 $4.19 77.6
DeepSeek-Coder Base DeepSeek 32768 $3.53 74.1

Other benchmarks for Llama 3 Modal

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.4 294 51th
GPQA Diamond 71.0 238 60th
SWE-bench Verified 63.6 243 60th
HumanEval 78.8 269 55th
MATH-500 79.1 232 61th
AIME 2025 70.8 240 60th
IFEval 81.4 292 51th
TruthfulQA 79.5 202 66th
HellaSwag 84.1 278 54th
MMMU 71.6 251 58th
Arena Elo 1391.4 244 59th

FAQ

What score does Llama 3 Modal get on LiveCodeBench?

Llama 3 Modal scores 67.4 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Llama 3 Modal rank on LiveCodeBench?

It ranks #240 of 600 models, in the 60th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Llama 3 Modal 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 Modal cost?

Llama 3 Modal costs $3.82 per million input tokens and $17.80 per million output tokens.

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