Preference · Stability AI

StableLM 2 Instruct on Arena Elo: score, rank and what it means

StableLM 2 Instruct scores 1301.8 on Arena Elo, placing it #415 of 600 models in the index. The benchmark average is 1349.9 and the leader is Claude Opus 4.5 Max at 1501.9.

Score
1301.8
0–100 scale
Rank
#415
of 600
Percentile
31th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
200.1
points

Score distribution

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

Claude Opus 4.5 Max 1501.9
GPT-5.2 Reasoning 1500.4
GPT-5.2 Turbo 1500.3
Claude Opus 4.5 Reasoning 1497.5
GPT-5.2 Max 1495.3
Gemini 3 Pro Turbo 1494.9
Grok 4 Max 1491.4
Claude Opus 4.5 1491.2
GPT-5.1 Pro 1490.0
Grok 4 Reasoning 1487.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
2 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
3 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
6 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
7 Grok 4 Max xAI 2000000 $19.70 86.6
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
10 Grok 4 Reasoning xAI 2000000 $19.67 87.8

What this score means

On Arena Elo, StableLM 2 Instruct sits at #415 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 200.1 points. The median model in this index scores 1373.8, which puts StableLM 2 Instruct below the midpoint.

Stability AI models average 1232.1 on this benchmark. StableLM 2 Instruct is 69.7 points above that provider line, so it is a stronger result than the average Stability AI model.

Among open-weight models, the average is 1338.0. StableLM 2 Instruct is 36.2 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 1301.8 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 $1.93 per million input tokens, StableLM 2 Instruct is below the median input price of $4.00 across the 600 models scored on Arena Elo. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Qwen3 8B Alibaba Cloud 8192 $1.66 61.9
Kimi K2 7B Moonshot AI 16384 $1.72 62.7
Sonar Nano Perplexity 4096 $4.37 61.9
Zephyr Hugging Face 8192 $1.61 62.8
StableLM 2 Instruct Stability AI 16384 $1.93 65.2
Zephyr Instruct Hugging Face 4096 $1.66 62.4
Mistral Large 3 8B Mistral AI 16384 $1.62 61.6

Other benchmarks for StableLM 2 Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 69.9 396 34th
GPQA Diamond 62.2 389 35th
SWE-bench Verified 54.5 389 35th
HumanEval 69.5 404 33th
MATH-500 67.7 403 33th
AIME 2025 53.9 425 29th
LiveCodeBench 55.9 398 34th
IFEval 72.9 418 30th
TruthfulQA 70.0 400 33th
HellaSwag 77.5 408 32th
MMMU 63.0 399 34th

FAQ

What score does StableLM 2 Instruct get on Arena Elo?

StableLM 2 Instruct scores 1301.8 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does StableLM 2 Instruct rank on Arena Elo?

It ranks #415 of 600 models, in the 31st percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is StableLM 2 Instruct good at Arena Elo?

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 Arena Elo score calculated?

Arena Elo is a preference 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 Instruct cost?

StableLM 2 Instruct costs $1.93 per million input tokens and $8.75 per million output tokens.

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