Coding · EleutherAI

GPT-NeoX 8B on LiveCodeBench: score, rank and what it means

GPT-NeoX 8B scores 28.9 on LiveCodeBench, placing it #585 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
28.9
0–100 scale
Rank
#585
of 600
Percentile
3th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
56.2
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with GPT-NeoX 8B 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, GPT-NeoX 8B sits at #585 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 56.2 points. The median model in this index scores 64.7, which puts GPT-NeoX 8B below the midpoint.

EleutherAI models average 38.6 on this benchmark. GPT-NeoX 8B is 9.7 points below that provider line, so it is a weaker result than the average EleutherAI model.

Among small open-weight models, the average is 41.2. GPT-NeoX 8B is 12.3 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 28.9 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 $0.25 per million input tokens, GPT-NeoX 8B 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
SmolLM3 8B Hugging Face 32768 $0.21 44.0
SmolLM3 7B Hugging Face 16384 $0.19 44.3
StableLM 2 8B Stability AI 32768 $0.38 47.0
OLMo 2 1.5B Allen Institute for AI 16384 $0.28 44.0
GPT-NeoX 8B EleutherAI 16384 $0.25 43.7
Zephyr 8B Hugging Face 8192 $0.22 43.0
StableLM 2 7B Stability AI 8192 $0.28 44.3

Other benchmarks for GPT-NeoX 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 53.5 578 4th
GPQA Diamond 41.7 579 4th
SWE-bench Verified 28.4 583 3th
HumanEval 44.9 590 2th
MATH-500 41.9 590 2th
AIME 2025 25.2 594 1th
IFEval 56.4 588 2th
TruthfulQA 53.3 583 3th
HellaSwag 62.9 592 1th
MMMU 43.2 585 3th
Arena Elo 1154.9 583 3th

FAQ

What score does GPT-NeoX 8B get on LiveCodeBench?

GPT-NeoX 8B scores 28.9 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does GPT-NeoX 8B rank on LiveCodeBench?

It ranks #585 of 600 models, in the 3rd percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is GPT-NeoX 8B 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 GPT-NeoX 8B cost?

GPT-NeoX 8B costs $0.25 per million input tokens and $1.04 per million output tokens.

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