Coding · Stability AI

StableLM 2 on LiveCodeBench: score, rank and what it means

StableLM 2 scores 55.2 on LiveCodeBench, placing it #402 of 600 models in the index. The benchmark average is 61.0 and the leader is Claude Sonnet 4.5 Reasoning at 85.1.

Score
55.2
0–100 scale
Rank
#402
of 600
Percentile
33th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
29.9
points

Score distribution

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

Claude Sonnet 4.5 Reasoning 85.1
Grok 4 Reasoning 85.1
Claude Opus 4.5 85.0
GPT-5.2 Max 84.8
Grok 4 Turbo 84.7
GPT-5.1 Turbo 84.6
GPT-5.2 Pro 84.6
GPT-5.2 Reasoning 84.6
Claude Opus 4.5 Pro 84.1
Gemini 3 Pro Max 83.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
2 Grok 4 Reasoning xAI 2000000 $19.67 87.8
3 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 Grok 4 Turbo xAI 1000000 $19.21 86.7
6 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1
7 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
8 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
9 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On LiveCodeBench, StableLM 2 sits at #402 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 29.9 points. The median model in this index scores 64.7, which puts StableLM 2 below the midpoint.

Stability AI models average 42.9 on this benchmark. StableLM 2 is 12.3 points above that provider line, so it is a stronger result than the average Stability AI model.

Among open-weight models, the average is 59.1. StableLM 2 is 3.9 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 55.2 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 $1.91 per million input tokens, StableLM 2 is below the median input price of $4.00 across the 600 models scored on LiveCodeBench. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
StableLM 2 Instruct Stability AI 16384 $1.93 65.2
StableLM 2 Chat Stability AI 8192 $1.79 64.6
ERNIE 4.5 Nano Baidu 32768 $6.01 65.6
Phi-3.5 Base Microsoft 65536 $2.24 66.6
StableLM 2 Stability AI 8192 $1.91 65.0
Sonar Mini Perplexity 65536 $6.52 67.9
Sonar Nano Perplexity 4096 $4.37 61.9

Other benchmarks for StableLM 2

BenchmarkScoreRankPercentileRelative
MMLU-Pro 71.4 387 36th
GPQA Diamond 57.9 429 29th
SWE-bench Verified 52.0 407 32th
HumanEval 70.0 394 34th
MATH-500 68.3 397 34th
AIME 2025 56.5 408 32th
IFEval 73.2 413 31th
TruthfulQA 68.7 408 32th
HellaSwag 77.2 413 31th
MMMU 64.2 387 36th
Arena Elo 1294.3 426 29th

FAQ

What score does StableLM 2 get on LiveCodeBench?

StableLM 2 scores 55.2 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does StableLM 2 rank on LiveCodeBench?

It ranks #402 of 600 models, in the 33rd percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is StableLM 2 good at LiveCodeBench?

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 LiveCodeBench score calculated?

LiveCodeBench 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 cost?

StableLM 2 costs $1.91 per million input tokens and $9.65 per million output tokens.

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