Instruction following · EleutherAI

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

GPT-NeoX Base scores 70.8 on IFEval, placing it #443 of 600 models in the index. The benchmark average is 78.6 and the leader is Claude Opus 4.5 Pro at 96.1.

Score
70.8
0–100 scale
Rank
#443
of 600
Percentile
26th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
25.3
points

Score distribution

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

Claude Opus 4.5 Pro 96.1
Claude Opus 4.5 Reasoning 95.9
GPT-5.2 Pro 95.6
GPT-5.2 Max 95.2
GPT-5.2 Reasoning 95.0
GPT-5.1 Pro 94.8
Gemini 3 Pro Max 94.7
GPT-5.1 Reasoning 94.6
Claude Opus 4.5 Max 94.5
o4 Reasoning 94.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
8 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 o4 Reasoning OpenAI 1000000 $19.69 87.5

What this score means

On IFEval, GPT-NeoX Base sits at #443 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 25.3 points. The median model in this index scores 81.2, which puts GPT-NeoX Base below the midpoint.

EleutherAI models average 63.1 on this benchmark. GPT-NeoX Base is 7.7 points above that provider line, so it is a stronger result than the average EleutherAI model.

Among open-weight models, the average is 77.0. GPT-NeoX Base is 6.2 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 70.8 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 IFEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
GPT-NeoX Instruct EleutherAI 16384 $1.52 62.6
Firefunction Mini Fireworks AI 32768 $4.63 63.2
Qwen3-Coder 7B Alibaba Cloud 32768 $1.24 59.6
Qwen3 8B Alibaba Cloud 8192 $1.66 61.9
GPT-NeoX Base EleutherAI 16384 $1.22 59.7
StableLM 2 Base Stability AI 8192 $1.49 61.9
Llama 4 Maverick 7B Meta AI 4096 $1.52 61.9

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
LiveCodeBench 49.1 455 24th
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 IFEval?

GPT-NeoX Base scores 70.8 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does GPT-NeoX Base rank on IFEval?

It ranks #443 of 600 models, in the 26th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is GPT-NeoX Base good at IFEval?

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 IFEval score calculated?

IFEval is a instruction following 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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