Coding · EleutherAI

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

GPT-NeoX Base scores 49.1 on LiveCodeBench, placing it #455 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
49.1
0–100 scale
Rank
#455
of 600
Percentile
24th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
36.0
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with GPT-NeoX Base 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 Base sits at #455 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 36.0 points. The median model in this index scores 64.7, which puts GPT-NeoX Base below the midpoint.

EleutherAI models average 38.6 on this benchmark. GPT-NeoX Base is 10.5 points above that provider line, so it is a stronger result than the average EleutherAI model.

Among open-weight models, the average is 59.1. GPT-NeoX Base is 10.0 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 49.1 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 $1.22 per million input tokens, GPT-NeoX Base 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 Hugging Face 8192 $1.71 63.1
Llama 4 Scout 8B Meta AI 8192 $1.46 61.2
Codestral 8B Mistral AI 4096 $1.18 59.0
GLM-4.5 7B Zhipu AI 8192 $1.32 60.2
GPT-NeoX Base EleutherAI 16384 $1.22 59.7
QwQ 8B Alibaba Cloud 16384 $1.37 59.5
GPT-NeoX Chat EleutherAI 16384 $1.49 60.1

Other benchmarks for GPT-NeoX Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 65.2 450 25th
GPQA Diamond 56.0 448 25th
SWE-bench Verified 47.8 437 27th
HumanEval 64.4 447 26th
MATH-500 60.1 461 23th
AIME 2025 46.3 486 19th
IFEval 70.8 443 26th
TruthfulQA 67.0 430 28th
HellaSwag 73.3 473 21th
MMMU 56.8 473 21th
Arena Elo 1256.7 479 20th

FAQ

What score does GPT-NeoX Base get on LiveCodeBench?

GPT-NeoX Base scores 49.1 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does GPT-NeoX Base rank on LiveCodeBench?

It ranks #455 of 600 models, in the 24th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is GPT-NeoX Base 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 Base cost?

GPT-NeoX Base costs $1.22 per million input tokens and $4.64 per million output tokens.

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