LLM Comparison

Olmo 3 32B Think vs Olmo 3.1 32B Instruct

Side-by-side specs, pricing & capabilities

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2/6 models
Same tier:
 AllenAIOlmo 3 32B ThinkAllenAIOlmo 3.1 32B Instruct
OrganizationAllenAIAllenAIAllenAIAllenAI
OpenTools Score
FamilyOlmoOlmo
StatusCurrentCurrent
Release DateNov 2025Jan 2026
Context Window66K tokens66K tokens
Input Price$0.15/M tokens$0.20/M tokens
Output Price$0.50/M tokens$0.60/M tokens
Capabilities
textcode
textcode
Max Output66K tokens—
API Identifierallenai/olmo-3-32b-thinkallenai/olmo-3.1-32b-instruct
Benchmarks
AIME 2025
73.7%artificial-analysis
—
GPQA Diamond
61%artificial-analysis
53.9%artificial-analysis
GPQA
58.1%https://huggingface.co/allenai/Olmo-3-32B-Think
—
GPQA—
48.6%https://huggingface.co/allenai/Olmo-3.1-32B-Instruct
MMLU
85.4%https://huggingface.co/allenai/Olmo-3-32B-Think
—
MMLU—
80.9%https://huggingface.co/allenai/Olmo-3.1-32B-Instruct
 View Olmo 3 32B ThinkView Olmo 3.1 32B Instruct

Cost Calculator

Enter your expected monthly token usage to compare costs.

ModelInputOutputTotal / movs Best
Olmo 3 32B ThinkCheapest$0.15$0.25$0.40—
Olmo 3.1 32B Instruct$0.20$0.30$0.50+25%

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Compare two exact setups, including different configurations of the same model. Hardware fit, measured speed and costs are separate decisions.

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Use hours for the same scenario period. Cloud billing includes idle time; active hours alone do not set the bill. Local electricity uses whole-system attributable power, powered hours and your tariff. Missing inputs remain unknown.

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Measured speed needs the same pinned workload protocol, tokenizer, context, batching and cache state.

ConfigurationRun Olmo 3 32B Think on a 64 GiB Intel desktopRun Olmo 3.1 32B Instruct on a 64 GiB Intel desktop
ModelOlmo 3 32B ThinkOlmo 3.1 32B Instruct
HardwareIntel Core i5-12400 desktop, 8 inference threads, 64 GiB RAMIntel Core i5-12400 desktop, 8 inference threads, 64 GiB RAM
Runtimellama.cpp v0.7.0 (620d2225cc436ab0b001e3200e590e3b286ef9ab) · CPUllama.cpp v0.7.0 (620d2225cc436ab0b001e3200e590e3b286ef9ab) · CPU
ArtifactOlmo-3-32B-Think Q4_K_M, LM Studio derivative · GGUF Q4_K_M mixed quantization · Q4_K_M post-training GGUF quantization by LM Studio communityOlmo-3.1-32B-Instruct Q4_K_M, LM Studio derivative · GGUF Q4_K_M mixed quantization · Q4_K_M post-training GGUF quantization by LM Studio community
Context / concurrency8,192 tokens / 14,096 tokens / 1
Required memoryUnknown (unknown)Unknown (unknown)
EvidenceDocumented setupDocumented setup
Hardware fitHardware fit unknown

No exact full-process peak for this Olmo Q4_K_M, sliding/full-attention and workload configuration. Enter available memory per device or unified memory pool. Host RAM: 64 GiB is chosen host capacity, not a measured minimum. Free disk space: 80 GiB is an author free/root disk allocation, not measured disk minimum.

Hardware fit unknown

No exact full-process peak for this Olmo Q4_K_M, sliding/full-attention and workload configuration. Enter available memory per device or unified memory pool. Host RAM: 64 GiB is chosen host capacity, not a measured minimum. Free disk space: 80 GiB is an author free/root disk allocation, not measured disk minimum.

One-time cost
Unknown

hardware: Existing desktop purchase price and incremental hardware cost depend on the reader; unknown. setup: Initial provisioning/build time and labor cost are unknown.

Unknown

hardware: Existing desktop purchase price and incremental hardware cost depend on the reader; unknown. setup: Initial provisioning/build time and labor cost are unknown.

Recurring scenario cost
Unknown

electricity: Actual wall power, electricity rate and powered hours are unknown; no TDP-to-wall-power conversion. storage: Incremental cost of local disk capacity is unknown. The 80 GiB free-disk walkthrough allocation is an author choice, not a measured requirement. egress: Data transfer price, allowances and traffic volume are unknown. administration: Maintenance labor rate and hours are unknown.

One-time setup and recurring costs are separate. Unknown components are not treated as free. No monthly token output is inferred from peak throughput.

Unknown

electricity: Actual wall power, electricity rate and powered hours are unknown; no TDP-to-wall-power conversion. storage: Incremental cost of local disk capacity is unknown. The 80 GiB free-disk walkthrough allocation is an author choice, not a measured requirement. egress: Data transfer price, allowances and traffic volume are unknown. administration: Maintenance labor rate and hours are unknown.

One-time setup and recurring costs are separate. Unknown components are not treated as free. No monthly token output is inferred from peak throughput.

Published measurements (unranked)No compatible measurement availableNo compatible measurement available

Different currencies and incomplete costs are not ranked. Model quality benchmarks remain on the model pages; they do not establish quality or speed for every deployment.

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