BenchmarksAllen Institute for AIYesterday
Olmo 3 32B Think Benchmark Update
Quality: 12.1/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.759% | HumanEval: 0.672%
View sourceAllenai
Olmo 3 32B Think is a large-scale, 32-billion-parameter model purpose-built for deep reasoning, complex logic chains and advanced instruction-following scenarios. Its capacity enables strong performance on demanding evaluation tasks and...
This model is still tracked for research and discovery, but it is excluded from default public rankings until it returns to active status.
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Quality Score
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Arena ELO
32B
Parameters
66K
Context
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Nov 2025
Released
Benchmarks
19
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Recent launch, pricing, benchmark, and API signals linked to this model or its provider.
Quality: 12.1/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.759% | HumanEval: 0.672%
View sourceQuality: 12.1/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.759% | HumanEval: 0.672%
Quality: 12.1/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.759% | HumanEval: 0.672%
Quality: 12.1/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.759% | HumanEval: 0.672%
View sourceQuality: 12.1/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.759% | HumanEval: 0.672%
View sourceQuality: 12.1/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.759% | HumanEval: 0.672%
View sourceQuality: 12.1/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.759% | HumanEval: 0.672%
Quality: 12.1/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.759% | HumanEval: 0.672%
Quality: 12.1/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.759% | HumanEval: 0.672%
Quality: 12.1/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.759% | HumanEval: 0.672%
Quality: 12.1/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.759% | HumanEval: 0.672%
Quality: 12.1/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.759% | HumanEval: 0.672%
Quality: 12.1/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.759% | HumanEval: 0.672%
Quality: 12.1/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.759% | HumanEval: 0.672%
Quality: 12.1/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.759% | HumanEval: 0.672%
Quality: 12.1/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.759% | HumanEval: 0.672%
Quality: 12.1/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.759% | HumanEval: 0.672%
Quality: 12.1/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.759% | HumanEval: 0.672%
Quality: 12.1/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.759% | HumanEval: 0.672%
Quality: 12.1/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.759% | HumanEval: 0.672%
Quality: 12.1/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.759% | HumanEval: 0.672%
Quality: 12.1/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.759% | HumanEval: 0.672%
Quality: 12.1/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.759% | HumanEval: 0.672%
Quality: 12.1/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.759% | HumanEval: 0.672%
Olmo 3 32B Think is now available through local Ollama runtime. 64K context window listed. Olmo is a series of Open language models designed to enable the science of language models. These models are pre-trained on the Dolma 3 dataset and post-trained on the Dolci datasets.