Reasoning · Stability AI

StableLM 2 Base on GPQA Diamond: score, rank and what it means

StableLM 2 Base scores 58.5 on GPQA Diamond, placing it #421 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
58.5
0–100 scale
Rank
#421
of 600
Percentile
30th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
28.5
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with StableLM 2 Base highlighted. Longer bars mean higher scores.

GPT-5.2 Reasoning 87.0
GPT-5.1 Max 86.4
Claude Opus 4.5 Pro 86.0
GPT-5.1 Reasoning 85.6
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.2 84.9
o4 Turbo 84.8
Claude Opus 4.5 Max 84.6
Grok 4 Turbo 84.5
Claude Sonnet 4.5 Max 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 GPT-5.2 OpenAI 2000000 $19.71 88.0
7 o4 Turbo OpenAI 2000000 $19.34 86.6
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 Grok 4 Turbo xAI 1000000 $19.21 86.7
10 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2

What this score means

On GPQA Diamond, StableLM 2 Base sits at #421 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 28.5 points. The median model in this index scores 68.8, which puts StableLM 2 Base below the midpoint.

Stability AI models average 50.6 on this benchmark. StableLM 2 Base is 7.9 points above that provider line, so it is a stronger result than the average Stability AI model.

Among open-weight models, the average is 63.6. StableLM 2 Base is 5.1 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 58.5 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 $1.49 per million input tokens, StableLM 2 Base is below the median input price of $4.00 across the 600 models scored on GPQA Diamond. 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
Llama 4 Scout 8B Meta AI 8192 $1.46 61.2
DeepSeek-V3.2 8B DeepSeek 32768 $2.02 66.2
GPT-NeoX Instruct EleutherAI 16384 $1.52 62.6
StableLM 2 Base Stability AI 8192 $1.49 61.9
Embed 4 Turbo Cohere 4096 $5.13 64.0
SmolLM3 Instruct Hugging Face 8192 $1.69 63.6

Other benchmarks for StableLM 2 Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 67.7 421 30th
SWE-bench Verified 44.7 469 22th
HumanEval 67.3 418 30th
MATH-500 63.9 426 29th
AIME 2025 55.9 410 32th
LiveCodeBench 53.3 416 31th
IFEval 70.8 444 26th
TruthfulQA 66.9 432 28th
HellaSwag 74.2 453 25th
MMMU 57.4 463 23th
Arena Elo 1288.1 433 28th

FAQ

What score does StableLM 2 Base get on GPQA Diamond?

StableLM 2 Base scores 58.5 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does StableLM 2 Base rank on GPQA Diamond?

It ranks #421 of 600 models, in the 30th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is StableLM 2 Base good at GPQA Diamond?

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 GPQA Diamond score calculated?

GPQA Diamond is a reasoning 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 Base cost?

StableLM 2 Base costs $1.49 per million input tokens and $5.44 per million output tokens.

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