Coding · Allen Institute for AI

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

OLMo 2 Base scores 52.0 on SWE-bench Verified, placing it #406 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
#406
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 OLMo 2 Base 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, OLMo 2 Base sits at #406 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 OLMo 2 Base below the midpoint.

Allen Institute for AI models average 46.1 on this benchmark. OLMo 2 Base is 5.9 points above that provider line, so it is a stronger result than the average Allen Institute for AI model.

Among open-weight models, the average is 55.5. OLMo 2 Base 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 $2.39 per million input tokens, OLMo 2 Base 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
Firefunction Mini Fireworks AI 32768 $4.63 63.2
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

Other benchmarks for OLMo 2 Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 69.8 398 34th
GPQA Diamond 62.1 390 35th
HumanEval 70.2 391 35th
MATH-500 72.6 362 40th
AIME 2025 62.4 373 38th
LiveCodeBench 58.1 389 35th
IFEval 76.4 383 36th
TruthfulQA 72.5 376 37th
HellaSwag 81.5 359 40th
MMMU 64.1 388 35th
Arena Elo 1326.6 391 35th

FAQ

What score does OLMo 2 Base get on SWE-bench Verified?

OLMo 2 Base 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 OLMo 2 Base rank on SWE-bench Verified?

It ranks #406 of 600 models, in the 32nd percentile. The leader is GPT-5.2 Pro at 81.7.

Is OLMo 2 Base 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 OLMo 2 Base cost?

OLMo 2 Base costs $2.39 per million input tokens and $11.05 per million output tokens.

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