Coding · DeepInfra

Llama 3 DeepInfra 7B on LiveCodeBench: score, rank and what it means

Llama 3 DeepInfra 7B scores 45.8 on LiveCodeBench, placing it #488 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
45.8
0–100 scale
Rank
#488
of 600
Percentile
19th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
39.3
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Llama 3 DeepInfra 7B 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 7B sits at #488 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 39.3 points. The median model in this index scores 64.7, which puts Llama 3 DeepInfra 7B below the midpoint.

DeepInfra models average 56.0 on this benchmark. Llama 3 DeepInfra 7B is 10.2 points below that provider line, so it is a weaker result than the average DeepInfra model.

Among small open-weight models, the average is 41.2. Llama 3 DeepInfra 7B is 4.6 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 45.8 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 $0.95 per million input tokens, Llama 3 DeepInfra 7B 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 8B Anyscale 32768 $0.97 57.3
Yi-Large 8B 01.AI 32768 $0.88 56.1
Llama 3 Hyperbolic 7B Hyperbolic 4096 $0.94 55.6
Seed-OSS 8B ByteDance 8192 $1.05 57.1
Llama 3 DeepInfra 7B DeepInfra 16384 $0.95 55.6
Mistral Small 3 8B Mistral AI 8192 $0.99 57.2
Yi-Lightning 7B 01.AI 32768 $1.00 55.9

Other benchmarks for Llama 3 DeepInfra 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 63.6 482 20th
GPQA Diamond 54.1 479 20th
SWE-bench Verified 38.7 531 12th
HumanEval 57.1 530 12th
MATH-500 55.1 519 14th
AIME 2025 43.7 514 14th
IFEval 66.4 513 15th
TruthfulQA 63.6 480 20th
HellaSwag 71.0 520 13th
MMMU 53.0 519 14th
Arena Elo 1233.6 522 13th

FAQ

What score does Llama 3 DeepInfra 7B get on LiveCodeBench?

Llama 3 DeepInfra 7B scores 45.8 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Llama 3 DeepInfra 7B rank on LiveCodeBench?

It ranks #488 of 600 models, in the 19th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Llama 3 DeepInfra 7B 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 DeepInfra 7B cost?

Llama 3 DeepInfra 7B costs $0.95 per million input tokens and $3.71 per million output tokens.

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