Coding · DeepInfra

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

Llama 3 DeepInfra Chat scores 67.8 on LiveCodeBench, placing it #230 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
67.8
0–100 scale
Rank
#230
of 600
Percentile
62th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
17.3
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Llama 3 DeepInfra 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 DeepInfra Chat sits at #230 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 17.3 points. The median model in this index scores 64.7, which puts Llama 3 DeepInfra Chat above the midpoint.

DeepInfra models average 56.0 on this benchmark. Llama 3 DeepInfra Chat is 11.8 points above that provider line, so it is a stronger result than the average DeepInfra model.

Among multimodal models, the average is 70.3. Llama 3 DeepInfra Chat is 2.5 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 67.8 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 $3.74 per million input tokens, Llama 3 DeepInfra 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
MiniMax-Text Base MiniMax 128000 $3.66 74.9
Qwen3-Coder Base Alibaba Cloud 200000 $3.99 76.6
Sonar Turbo Perplexity 65536 $10.71 75.7
Claude 3.7 Sonnet Mini Anthropic 32768 $9.74 73.0
Llama 3 DeepInfra Chat DeepInfra 200000 $3.74 75.0
Llama 3.1 Cerebras Base Cerebras 65536 $3.36 72.7
o4 Mini OpenAI 200000 $11.92 77.7

Other benchmarks for Llama 3 DeepInfra Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.8 281 53th
GPQA Diamond 69.0 295 51th
SWE-bench Verified 65.5 204 66th
HumanEval 77.3 304 49th
MATH-500 80.6 198 67th
AIME 2025 72.5 209 65th
IFEval 81.4 291 52th
TruthfulQA 78.3 244 59th
HellaSwag 83.6 299 50th
MMMU 72.1 240 60th
Arena Elo 1376.4 286 52th

FAQ

What score does Llama 3 DeepInfra Chat get on LiveCodeBench?

Llama 3 DeepInfra Chat scores 67.8 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Llama 3 DeepInfra Chat rank on LiveCodeBench?

It ranks #230 of 600 models, in the 62nd percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Llama 3 DeepInfra 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 DeepInfra Chat cost?

Llama 3 DeepInfra Chat costs $3.74 per million input tokens and $15.32 per million output tokens.

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