Instruction following · Stability AI

StableLM 2 7B on IFEval: score, rank and what it means

StableLM 2 7B scores 57.7 on IFEval, placing it #585 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
57.7
0–100 scale
Rank
#585
of 600
Percentile
3th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
38.4
points

Score distribution

The chart shows the top 10 models on IFEval, with StableLM 2 7B 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 7B sits at #585 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 38.4 points. The median model in this index scores 81.2, which puts StableLM 2 7B below the midpoint.

Stability AI models average 65.9 on this benchmark. StableLM 2 7B is 8.2 points below that provider line, so it is a weaker result than the average Stability AI model.

Among small open-weight models, the average is 64.9. StableLM 2 7B is 7.2 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 57.7 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 $0.28 per million input tokens, StableLM 2 7B 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
Mixtral Turbo 1.5B Together AI 4096 $0.31 47.6
DBRX 1.5B Databricks 16384 $0.32 47.0
Molmo 1.5B Allen Institute for AI 8192 $0.21 42.8
SmolLM3 7B Hugging Face 16384 $0.19 44.3
StableLM 2 7B Stability AI 8192 $0.28 44.3
Zephyr 7B Hugging Face 32768 $0.23 42.5
GPT-NeoX 7B EleutherAI 8192 $0.20 42.4

Other benchmarks for StableLM 2 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 50.2 594 1th
GPQA Diamond 40.7 583 3th
SWE-bench Verified 30.9 578 4th
HumanEval 45.2 589 2th
MATH-500 42.6 588 2th
AIME 2025 28.2 587 2th
LiveCodeBench 28.2 587 2th
TruthfulQA 52.7 584 3th
HellaSwag 65.2 582 3th
MMMU 46.0 581 3th
Arena Elo 1155.7 582 3th

FAQ

What score does StableLM 2 7B get on IFEval?

StableLM 2 7B scores 57.7 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does StableLM 2 7B rank on IFEval?

It ranks #585 of 600 models, in the 3rd percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is StableLM 2 7B 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 7B cost?

StableLM 2 7B costs $0.28 per million input tokens and $1.47 per million output tokens.

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