OLMo 2 Instruct on SWE-bench Verified: score, rank and what it means
OLMo 2 Instruct scores 61.0 on SWE-bench Verified, placing it #300 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.
Score distribution
The chart shows the top 10 models on SWE-bench Verified, with OLMo 2 Instruct highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg 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 Instruct sits at #300 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 20.7 points. The median model in this index scores 61.0, which puts OLMo 2 Instruct above the midpoint.
Allen Institute for AI models average 46.1 on this benchmark. OLMo 2 Instruct is 14.9 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 Instruct is 5.5 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.
Read a 61.0 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 $3.03 per million input tokens, OLMo 2 Instruct 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.
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Gemini 3 Pro Nano | Google DeepMind | 8192 | $9.11 | 73.2 |
| Firesearch Max | Fireworks AI | 8192 | $7.80 | 69.9 |
| Llama 3.3 Groq Base | Groq | 16384 | $3.24 | 73.5 |
| Mixtral Instruct | Mistral AI | 65536 | $3.35 | 72.9 |
| OLMo 2 Instruct | Allen Institute for AI | 32768 | $3.03 | 71.7 |
| Auto Reasoning | OpenRouter | 65536 | $8.39 | 71.5 |
| ERNIE 4.5 Mini | Baidu | 32768 | $8.62 | 71.0 |
Other benchmarks for OLMo 2 Instruct
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 75.5 | 319 | 47th | |
| GPQA Diamond | 67.0 | 330 | 45th | |
| HumanEval | 76.6 | 318 | 47th | |
| MATH-500 | 72.2 | 365 | 39th | |
| AIME 2025 | 64.7 | 342 | 43th | |
| LiveCodeBench | 63.9 | 324 | 46th | |
| IFEval | 80.4 | 326 | 46th | |
| TruthfulQA | 73.5 | 365 | 39th | |
| HellaSwag | 84.1 | 280 | 53th | |
| MMMU | 70.3 | 288 | 52th | |
| Arena Elo | 1369.4 | 320 | 47th |
FAQ
What score does OLMo 2 Instruct get on SWE-bench Verified?
OLMo 2 Instruct scores 61.0 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.
How does OLMo 2 Instruct rank on SWE-bench Verified?
It ranks #300 of 600 models, in the 50th percentile. The leader is GPT-5.2 Pro at 81.7.
Is OLMo 2 Instruct good at SWE-bench Verified?
Yes, relative to the index: it is above the median and inside the top half of scores. 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 Instruct cost?
OLMo 2 Instruct costs $3.03 per million input tokens and $14.45 per million output tokens.