OLMo 2 Instruct: pricing, context window and benchmarks
OLMo 2 Instruct is a open-weight model from Allen Institute for AI. It offers a 32,768-token context window, costs $3.03 per million input tokens and $14.45 per million output tokens, and averages 71.7 across the index's benchmark suite.
Pricing
OLMo 2 Instruct costs $3.03 per million input tokens and $14.45 per million output tokens. A blended 3:1 input-to-output mix works out to about $5.88 per million tokens. Cached input is listed at $0.45 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $3.03 | per 1M tokens |
| Output | $14.45 | per 1M tokens |
| Cached input | $0.45 | per 1M tokens |
| Blended 3:1 | $5.88 | estimate per 1M tokens |
| 1M in + 1M out | $17.48 | estimate |
Benchmarks
Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 75.5 | 319 | 47th | |
| GPQA Diamond | 67.0 | 330 | 45th | |
| SWE-bench Verified | 61.0 | 300 | 50th | |
| 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 |
What OLMo 2 Instruct is good for
OLMo 2 Instruct is an open-weight model, so it can be self-hosted or run through a third-party inference provider. That matters for data residency, fine-tuning and long-run cost control. At $3.03 per million input tokens (hosted list price) and a 32,768-token context window, it is a practical option for teams that want more control than a closed API allows.
Strengths
- Input price of $3.03 per million tokens is at or below the index median.
- Open weights make self-hosting, fine-tuning and data-residency review possible.
- Accepts more than text, including image input where the provider supports it.
Trade-offs
- Average benchmark score is below the index median; test it on your own task.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Llama 3 DeepInfra Base | DeepInfra | 16384 | $2.95 | 71.8 |
| DBRX Chat | Databricks | 65536 | $3.07 | 71.7 |
| Fusion Turbo | OpenRouter | 8192 | $8.55 | 71.7 |
| Mixtral Turbo Chat | Together AI | 32768 | $3.02 | 71.7 |
| OLMo 2 Instruct | Allen Institute for AI | 32768 | $3.03 | 71.7 |
| Qwen3-Max Nano | Alibaba Cloud | 65536 | $8.31 | 71.7 |
FAQ
How much does OLMo 2 Instruct cost?
OLMo 2 Instruct is listed at $3.03 per million input tokens and $14.45 per million output tokens. Cached input is $0.45 per million tokens. A blended 3:1 input-to-output mix is about $5.88 per million tokens.
What is the context window of OLMo 2 Instruct?
OLMo 2 Instruct has a context window of 32,768 tokens and can emit up to 32,768 output tokens per request in this index.
Is OLMo 2 Instruct open weights?
Yes. OLMo 2 Instruct is listed as an open-weight model under a open weights licence.
How does OLMo 2 Instruct score on benchmarks?
OLMo 2 Instruct averages 71.7 across the scored benchmarks in this index, ranking #335 of 600 models. Its strongest relative result is Arena Elo at 1369.4.
What is OLMo 2 Instruct best for?
OLMo 2 Instruct is an open-weight model, so it can be self-hosted or run through a third-party inference provider. That matters for data residency, fine-tuning and long-run cost control. At $3.03 per million input tokens (hosted list price) and a 32,768-token context window, it is a practical option for teams that want more control than a closed API allows.