Coding · Stability AI

StableLM 2 on SWE-bench Verified: score, rank and what it means

StableLM 2 scores 52.0 on SWE-bench Verified, placing it #407 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
52.0
0–100 scale
Rank
#407
of 600
Percentile
32th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
29.7
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with StableLM 2 highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 81.7
Claude Opus 4.5 Pro 81.1
GPT-5.2 Max 80.5
Claude Sonnet 4.5 Max 80.2
GPT-5.2 80.2
GPT-5.1 Pro 80.1
o4 Max 79.8
Claude Sonnet 4.5 Reasoning 79.6
Claude Opus 4.5 Max 79.5
Claude Opus 4.5 Reasoning 79.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
3 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
4 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2
5 GPT-5.2 OpenAI 2000000 $19.71 88.0
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 o4 Max OpenAI 2000000 $19.51 86.2
8 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On SWE-bench Verified, StableLM 2 sits at #407 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 29.7 points. The median model in this index scores 61.0, which puts StableLM 2 below the midpoint.

Stability AI models average 40.6 on this benchmark. StableLM 2 is 11.4 points above that provider line, so it is a stronger result than the average Stability AI model.

Among open-weight models, the average is 55.5. StableLM 2 is 3.5 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 52.0 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 SWE-bench Verified. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Hunyuan-Turbo Mini Tencent 8192 $6.59 68.3
Llama 4 Maverick 8B Meta AI 4096 $1.64 63.4
Embed 4 Pro Cohere 4096 $5.05 63.5
OLMo 2 Base Allen Institute for AI 65536 $2.39 67.4
StableLM 2 Stability AI 8192 $1.91 65.0
Embed 4 Cohere 32768 $4.79 63.8
Phi-3.5 Base Microsoft 65536 $2.24 66.6

Other benchmarks for StableLM 2

BenchmarkScoreRankPercentileRelative
MMLU-Pro 71.4 387 36th
GPQA Diamond 57.9 429 29th
HumanEval 70.0 394 34th
MATH-500 68.3 397 34th
AIME 2025 56.5 408 32th
LiveCodeBench 55.2 402 33th
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 SWE-bench Verified?

StableLM 2 scores 52.0 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does StableLM 2 rank on SWE-bench Verified?

It ranks #407 of 600 models, in the 32nd percentile. The leader is GPT-5.2 Pro at 81.7.

Is StableLM 2 good at SWE-bench Verified?

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 SWE-bench Verified score calculated?

SWE-bench Verified 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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