Olmo 3.1 32B Think Intelligence, Performance & Price Analysis
Model summary
Intelligence
Artificial Analysis Intelligence Index
Speed
Output tokens per second
Input Price
USD per 1M tokens
Output Price
USD per 1M tokens
Verbosity
Output tokens from Intelligence Index
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
- Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
- <$0.15 per 1M tokens
- $0.15–$1 per 1M tokens
- >$1 per 1M tokens
| Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text |
| Output modality | Supports: text |
| Context window | 66k ~98 A4 pages of size 12 Arial font |
| Total parameters | 32.2B |
| License | Apache 2.0 |
| Model weights | Hugging Face |
Olmo 3.1 32B Think is below average in intelligence, but well priced when comparing to other open weight models of similar size. It's also slower than average and very verbose. The model supports text input, outputs text, and has a 66k tokens context window.
Olmo 3.1 32B Think scores 14 on the Artificial Analysis Intelligence Index, placing it below average among comparable models (averaging 15). When evaluating the Intelligence Index, it generated 58M tokens, which is very verbose in comparison to the average of 20M.
Pricing for Olmo 3.1 32B Think is $0.00 per 1M input tokens (competitively priced, average: $0.10) and $0.00 per 1M output tokens (competitively priced, average: $0.20). In total, it cost $0.00 to evaluate Olmo 3.1 32B Think on the Intelligence Index.
At 96 tokens per second, Olmo 3.1 32B Think is slower than average (99).
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Openness
Artificial Analysis Openness Index: Results
Intelligence Index Comparisons
Intelligence vs. Price
Intelligence Index Token Use & Cost
Output Tokens Used to Run Artificial Analysis Intelligence Index
Cost to Run Artificial Analysis Intelligence Index
Context Window
Context Window
Pricing
Pricing: Input and Output Prices
Intelligence vs. Price (Log Scale)
Pricing Comparison of Olmo 3.1 32B Think API Providers
Speed
Measured by Output Speed (tokens per second)
Output Speed
Output Speed vs. Price
Latency
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time
Seconds to output 500 Tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Model Size (Open Weights Models Only)
Model Size: Total and Active Parameters
Comparisons to Olmo 3.1 32B Think
- Olmo 3.1 32B Think
gpt-oss-120B (high)- GPT-5.4 (xhigh)
- gpt-oss-20B (high)
- GPT-5.4 Pro (xhigh)
- GPT-5.2 (xhigh)
- GPT-5.3 Codex (xhigh)
Llama 4 Maverick
Gemini 3.1 Pro Preview- Gemini 3 Flash
- Gemini 3.1 Flash-Lite Preview
Claude 4.5 Haiku- Claude Sonnet 4.6 (max)
- Claude Opus 4.6 (max)
Mistral Large 3
DeepSeek V3.2
Grok 4.20 Beta 0309- Grok 4.1 Fast
Nova 2.0 Pro Preview (medium)
MiniMax-M2.5
NVIDIA Nemotron 3 Nano- NVIDIA Nemotron 3 Super
Kimi K2.5
K-EXAONE
MiMo-V2-Flash (Feb 2026)
K2 Think V2
Mi:dm K 2.5 Pro
GLM-5
Qwen3.5 397B A17B
Frequently Asked Questions
Common questions about Olmo 3.1 32B Think
Olmo 3.1 32B Think was released on December 12, 2025.
Olmo 3.1 32B Think was created by Allen Institute for AI.
Olmo 3.1 32B Think scores 14 on the Artificial Analysis Intelligence Index, placing it below average among other open weight models of similar size (median: 15).
Olmo 3.1 32B Think generates output at 95.8 tokens per second (based on the median across providers serving the model), which is below average compared to other open weight models of similar size (median: 98.6 t/s).
Olmo 3.1 32B Think has a time to first token (TTFT) of 1.32s (based on the median across providers serving the model), which is better than average compared to other open weight models of similar size (median: 1.35s).
When evaluated on the Intelligence Index, Olmo 3.1 32B Think generated 58M output tokens, which is at the higher end compared to other open weight models of similar size (median: 20M).
Yes, Olmo 3.1 32B Think is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
Olmo 3.1 32B Think supports text input.
Olmo 3.1 32B Think supports text output.
No, Olmo 3.1 32B Think does not support image input. It can only process text.
No, Olmo 3.1 32B Think is not multimodal. It only supports text input.
Olmo 3.1 32B Think has a context window of 66k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, Olmo 3.1 32B Think is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Olmo 3.1 32B Think has 32.2 billion parameters.
Olmo 3.1 32B Think is released under the Apache 2.0 license. This license allows commercial use. View license
Olmo 3.1 32B Think achieves a score of 14 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, Olmo 3.1 32B Think is available via API through 1 provider. Compare API providers
Olmo 3.1 32B Think is available through 1 API provider. Compare providers