LLM Comparison
DeepSeek V3.2 Exp vs Olmo 3.1 32B Instruct
Side-by-side specs, pricing & capabilities
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2/6 models| Organization | ||
| OpenTools Score | ||
| Family | DeepSeek | Olmo |
| Status | Current | Current |
| Release Date | Sep 2025 | Jan 2026 |
| Context Window | 164K tokens | 66K tokens |
| Input Price | $0.27/M tokens | $0.20/M tokens |
| Output Price | $0.41/M tokens | $0.60/M tokens |
| Capabilities | textcode | textcode |
| Max Output | 66K tokens | — |
| API Identifier | deepseek/deepseek-v3.2-exp | allenai/olmo-3.1-32b-instruct |
| Benchmarks | ||
| AIME 2025 | 57.7%artificial-analysis | — |
| AIME 2025 | 89.3%deepseek | — |
| BrowseComp | 40.1%deepseek | — |
| GPQA Diamond | 73.8%artificial-analysis | 53.9%artificial-analysis |
| GPQA Diamond | 79.9%deepseek | — |
| GPQA | — | 48.6%https://huggingface.co/allenai/Olmo-3.1-32B-Instruct |
| HMMT 2025 | 83.6%deepseek | — |
| MMLU-Pro | 85%deepseek | — |
| MMLU | — | 80.9%https://huggingface.co/allenai/Olmo-3.1-32B-Instruct |
| SWE-bench Verified | 67.8%deepseek | — |
| View DeepSeek V3.2 Exp | View Olmo 3.1 32B Instruct | |
Cost Calculator
Enter your expected monthly token usage to compare costs.
| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| DeepSeek V3.2 ExpCheapest | $0.27 | $0.21 | $0.48 | — |
| Olmo 3.1 32B Instruct | $0.20 | $0.30 | $0.50 | +5% |
Compare hosting configurations
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.
Measured speed needs the same pinned workload protocol, tokenizer, context, batching and cache state.
| Configuration | Convert and host complete DeepSeek V3.2 Exp DSA on a 512 GiB CPU workstation | Run Olmo 3.1 32B Instruct on a 64 GiB Intel desktop |
|---|---|---|
| Model | DeepSeek V3.2 Exp | Olmo 3.1 32B Instruct |
| Hardware | Intel Xeon w5-2465X / ASUS W790E-SAGE SE, 512 GiB RAM | Intel Core i5-12400 desktop, 8 inference threads, 64 GiB RAM |
| Runtime | llama.cpp complete DEEPSEEK32 CPU DSA with native Exp conversion v0.7.0 (620d2225; full pin in source URL) · CPU | llama.cpp v0.7.0 (620d2225cc436ab0b001e3200e590e3b286ef9ab) · CPU |
| Artifact | Complete DeepSeek V3.2 Exp, reader-generated Q4_K_M with DSA and NextN · Reader-generated full Q4_K_M from original mixed FP8/BF16/F32 native Exp checkpoint through a F16 intermediate; no active-only subset · Reader-native FP8 dequantization to F16 intermediate, then mixed Q4_K_M; all163 original checkpoint shards and main/NextN tensors retained | Olmo-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 / concurrency | 8,192 tokens / 1 | 4,096 tokens / 1 |
| Required memory | Unknown (unknown) | Unknown (unknown) |
| Evidence | Documented setup | Documented setup |
| Hardware fit | Hardware fit unknown No measured full CPU process peak for all quantized weights, DSA/MLA cache, scratch, loading, runtime and OS. Enter available memory per device or unified memory pool. Host RAM: 512 GiB is a planning allocation, not an observed minimum or fit. Free disk space: 4096 GiB free working storage is an author prescription, not a measured conversion or serving peak. | 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 local disk cost unknown;4096 GiB is prescribed working capacity. 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 available | No 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.
DeepSeek
DeepSeek V3.2 Exp
DeepSeek V3.2 Exp is a large language model from DeepSeek. Supports up to 163,840 token context window. Achieves 87.1% on MMLU. Available from $0.27/M input tokens.
AllenAI
Olmo 3.1 32B Instruct
Olmo 3.1 32B Instruct is a large language model from AllenAI. Supports up to 65,536 token context window. Available from $0.20/M input tokens.
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