Reasoning · Stability AI

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

StableLM 2 Chat scores 61.8 on GPQA Diamond, placing it #392 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
61.8
0–100 scale
Rank
#392
of 600
Percentile
35th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
25.2
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with StableLM 2 Chat 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 Chat sits at #392 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 25.2 points. The median model in this index scores 68.8, which puts StableLM 2 Chat below the midpoint.

Stability AI models average 50.6 on this benchmark. StableLM 2 Chat is 11.2 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 Chat is 1.8 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 61.8 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 $1.79 per million input tokens, StableLM 2 Chat 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
ERNIE 4.0 Mini Baidu 32768 $7.11 68.8
StableLM 2 Instruct Stability AI 16384 $1.93 65.2
OLMo 2 Base Allen Institute for AI 65536 $2.39 67.4
Arctic Base Snowflake 32768 $2.27 67.5
StableLM 2 Chat Stability AI 8192 $1.79 64.6
Embed 4 Cohere 32768 $4.79 63.8
Command A Nano Cohere 8192 $5.90 66.3

Other benchmarks for StableLM 2 Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 66.4 436 27th
SWE-bench Verified 51.6 410 32th
HumanEval 69.7 400 33th
MATH-500 68.0 401 33th
AIME 2025 52.6 439 27th
LiveCodeBench 55.7 399 34th
IFEval 74.9 400 33th
TruthfulQA 70.1 399 34th
HellaSwag 78.7 396 34th
MMMU 61.0 421 30th
Arena Elo 1297.5 425 29th

FAQ

What score does StableLM 2 Chat get on GPQA Diamond?

StableLM 2 Chat scores 61.8 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does StableLM 2 Chat rank on GPQA Diamond?

It ranks #392 of 600 models, in the 35th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is StableLM 2 Chat 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 Chat cost?

StableLM 2 Chat costs $1.79 per million input tokens and $9.72 per million output tokens.

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