Instruction following · Stability AI

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

StableLM 2 Chat scores 74.9 on IFEval, placing it #400 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
74.9
0–100 scale
Rank
#400
of 600
Percentile
33th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
21.2
points

Score distribution

The chart shows the top 10 models on IFEval, with StableLM 2 Chat 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 Chat sits at #400 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 21.2 points. The median model in this index scores 81.2, which puts StableLM 2 Chat below the midpoint.

Stability AI models average 65.9 on this benchmark. StableLM 2 Chat is 9.0 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 Chat is 2.1 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 74.9 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 IFEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Nemotron Nano Instruct NVIDIA 32768 $2.33 67.4
DeepSeek-V3.2 7B DeepSeek 4096 $1.75 63.2
Kimi K2 7B Moonshot AI 16384 $1.72 62.7
Arctic Base Snowflake 32768 $2.27 67.5
StableLM 2 Chat Stability AI 8192 $1.79 64.6
Reka Core Nano Reka AI 16384 $5.45 65.1
Nemotron Nano NVIDIA 8192 $2.24 66.6

Other benchmarks for StableLM 2 Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 66.4 436 27th
GPQA Diamond 61.8 392 35th
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
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 IFEval?

StableLM 2 Chat scores 74.9 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does StableLM 2 Chat rank on IFEval?

It ranks #400 of 600 models, in the 33rd percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is StableLM 2 Chat 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 Chat cost?

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

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