Coding · Stability AI

StableLM 2 8B on HumanEval: score, rank and what it means

StableLM 2 8B scores 50.4 on HumanEval, placing it #573 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
50.4
0–100 scale
Rank
#573
of 600
Percentile
5th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
46.4
points

Score distribution

The chart shows the top 10 models on HumanEval, with StableLM 2 8B highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 96.8
Gemini 3 Pro Pro 95.0
o4 Max 94.6
Grok 4 Reasoning 93.8
Claude Opus 4.5 93.7
GPT-5.2 Max 93.6
Claude Opus 4.5 Pro 93.4
Grok 4 Max 93.4
GPT-5.2 Turbo 93.2
GPT-5.1 Reasoning 92.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Gemini 3 Pro Pro Google DeepMind 200000 $19.80 87.3
3 o4 Max OpenAI 2000000 $19.51 86.2
4 Grok 4 Reasoning xAI 2000000 $19.67 87.8
5 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
6 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
7 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
8 Grok 4 Max xAI 2000000 $19.70 86.6
9 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
10 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3

What this score means

On HumanEval, StableLM 2 8B sits at #573 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 46.4 points. The median model in this index scores 77.4, which puts StableLM 2 8B below the midpoint.

Stability AI models average 58.8 on this benchmark. StableLM 2 8B is 8.4 points below that provider line, so it is a weaker result than the average Stability AI model.

Among small open-weight models, the average is 56.7. StableLM 2 8B is 6.3 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 50.4 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 $0.38 per million input tokens, StableLM 2 8B is below the median input price of $4.00 across the 600 models scored on HumanEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Phi-4 1.5B Microsoft 8192 $0.42 48.1
Llama 3 Anyscale 1.5B Anyscale 16384 $0.43 48.9
Llama 3.1 Turbo 1.5B Together AI 16384 $0.46 49.8
Llama 3.3 Groq 1.5B Groq 4096 $0.46 50.0
StableLM 2 8B Stability AI 32768 $0.38 47.0
Llama 3 DeepInfra 1.5B DeepInfra 32768 $0.48 48.8
Llama 3 Baseten 1.5B Baseten 4096 $0.42 48.2

Other benchmarks for StableLM 2 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 54.8 574 4th
GPQA Diamond 40.7 584 3th
SWE-bench Verified 31.0 577 4th
MATH-500 44.5 578 4th
AIME 2025 35.7 562 6th
LiveCodeBench 29.5 583 3th
IFEval 60.8 567 6th
TruthfulQA 55.3 573 5th
HellaSwag 66.7 569 5th
MMMU 47.8 566 6th
Arena Elo 1183.9 571 5th

FAQ

What score does StableLM 2 8B get on HumanEval?

StableLM 2 8B scores 50.4 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does StableLM 2 8B rank on HumanEval?

It ranks #573 of 600 models, in the 5th percentile. The leader is GPT-5.2 Pro at 96.8.

Is StableLM 2 8B good at HumanEval?

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 HumanEval score calculated?

HumanEval 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 StableLM 2 8B cost?

StableLM 2 8B costs $0.38 per million input tokens and $1.78 per million output tokens.

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