Coding · EleutherAI

GPT-NeoX Base on SWE-bench Verified: score, rank and what it means

GPT-NeoX Base scores 47.8 on SWE-bench Verified, placing it #437 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
47.8
0–100 scale
Rank
#437
of 600
Percentile
27th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
33.9
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with GPT-NeoX Base highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 81.7
Claude Opus 4.5 Pro 81.1
GPT-5.2 Max 80.5
Claude Sonnet 4.5 Max 80.2
GPT-5.2 80.2
GPT-5.1 Pro 80.1
o4 Max 79.8
Claude Sonnet 4.5 Reasoning 79.6
Claude Opus 4.5 Max 79.5
Claude Opus 4.5 Reasoning 79.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
3 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
4 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2
5 GPT-5.2 OpenAI 2000000 $19.71 88.0
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 o4 Max OpenAI 2000000 $19.51 86.2
8 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On SWE-bench Verified, GPT-NeoX Base sits at #437 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 33.9 points. The median model in this index scores 61.0, which puts GPT-NeoX Base below the midpoint.

EleutherAI models average 37.2 on this benchmark. GPT-NeoX Base is 10.6 points above that provider line, so it is a stronger result than the average EleutherAI model.

Among open-weight models, the average is 55.5. GPT-NeoX Base is 7.7 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 47.8 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 $1.22 per million input tokens, GPT-NeoX Base is below the median input price of $4.00 across the 600 models scored on SWE-bench Verified. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Reka Flash Nano Reka AI 16384 $3.93 61.0
GLM-4.5 8B Zhipu AI 32768 $1.46 61.3
Sonar Nano Perplexity 4096 $4.37 61.9
Llama 4 Scout 8B Meta AI 8192 $1.46 61.2
GPT-NeoX Base EleutherAI 16384 $1.22 59.7
Magistral 8B Mistral AI 4096 $1.33 60.0
Nova Lite Nano Amazon 8192 $3.29 59.5

Other benchmarks for GPT-NeoX Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 65.2 450 25th
GPQA Diamond 56.0 448 25th
HumanEval 64.4 447 26th
MATH-500 60.1 461 23th
AIME 2025 46.3 486 19th
LiveCodeBench 49.1 455 24th
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 SWE-bench Verified?

GPT-NeoX Base scores 47.8 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does GPT-NeoX Base rank on SWE-bench Verified?

It ranks #437 of 600 models, in the 27th percentile. The leader is GPT-5.2 Pro at 81.7.

Is GPT-NeoX Base good at SWE-bench Verified?

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 SWE-bench Verified score calculated?

SWE-bench Verified 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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