Instruction following · Stability AI

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

StableLM 2 Base scores 70.8 on IFEval, placing it #444 of 600 models in the index. The benchmark average is 78.6 and the leader is Claude Opus 4.5 Pro at 96.1.

Score
70.8
0–100 scale
Rank
#444
of 600
Percentile
26th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
25.3
points

Score distribution

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

Claude Opus 4.5 Pro 96.1
Claude Opus 4.5 Reasoning 95.9
GPT-5.2 Pro 95.6
GPT-5.2 Max 95.2
GPT-5.2 Reasoning 95.0
GPT-5.1 Pro 94.8
Gemini 3 Pro Max 94.7
GPT-5.1 Reasoning 94.6
Claude Opus 4.5 Max 94.5
o4 Reasoning 94.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
8 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 o4 Reasoning OpenAI 1000000 $19.69 87.5

What this score means

On IFEval, StableLM 2 Base sits at #444 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 25.3 points. The median model in this index scores 81.2, which puts StableLM 2 Base below the midpoint.

Stability AI models average 65.9 on this benchmark. StableLM 2 Base is 4.9 points above that provider line, so it is a stronger result than the average Stability AI model.

Among open-weight models, the average is 77.0. StableLM 2 Base is 6.2 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 70.8 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 $1.49 per million input tokens, StableLM 2 Base is below the median input price of $4.00 across the 600 models scored on IFEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Firefunction Mini Fireworks AI 32768 $4.63 63.2
Qwen3-Coder 7B Alibaba Cloud 32768 $1.24 59.6
Qwen3 8B Alibaba Cloud 8192 $1.66 61.9
GPT-NeoX Base EleutherAI 16384 $1.22 59.7
StableLM 2 Base Stability AI 8192 $1.49 61.9
Llama 4 Maverick 7B Meta AI 4096 $1.52 61.9
Sonar Nano Perplexity 4096 $4.37 61.9

Other benchmarks for StableLM 2 Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 67.7 421 30th
GPQA Diamond 58.5 421 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
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 IFEval?

StableLM 2 Base scores 70.8 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does StableLM 2 Base rank on IFEval?

It ranks #444 of 600 models, in the 26th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is StableLM 2 Base good at IFEval?

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 IFEval score calculated?

IFEval is a instruction following 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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