API cost decision in 10 seconds

🔥DeepSeek V3.2 vs Olmo 3 32B Think

Pick Olmo 3 32B Think for lower cost; pick DeepSeek V3.2 only if the larger context window matters more.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Olmo 3 32B Think for lower cost; pick DeepSeek V3.2 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Olmo 3 32B Think is estimated at $0.4 vs $0.44 for DeepSeek V3.2, saving $0.04 (9.3% lower).

Cost-first pickOlmo 3 32B Think
Context-first pickDeepSeek V3.2
Sample savings$0.049.3%
10x traffic gap$0.41

DeepSeek V3.2 has more context, but Olmo 3 32B Think saves $0.04 on the standard workload. At 10x that traffic, the same price gap is about $0.41. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors Olmo 3 32B Think, balanced workload favors DeepSeek V3.2, and output-heavy chatbot favors DeepSeek V3.2.

Workload shapeToken mixBetter pickDeepSeek V3.2Olmo 3 32B Think
Input-heavy / RAG5M input + 500K outputOlmo 3 32B Think$1.45$1
Balanced workload1M input + 1M outputDeepSeek V3.2$0.63$0.65
Output-heavy chatbot1M input + 5M outputDeepSeek V3.2$2.14$2.65
Cheaper input Olmo 3 32B Think $0.252 vs $0.15 / 1M

Olmo 3 32B Think is $0.1 cheaper per 1M input tokens (40.5% lower; 1.68x difference).

Cheaper output DeepSeek V3.2 $0.378 vs $0.5 / 1M

DeepSeek V3.2 is $0.12 cheaper per 1M output tokens (24.4% lower; 1.32x difference).

Larger context DeepSeek V3.2 131.07K vs 65.54K

DeepSeek V3.2 has 65.54K more context (2x larger).

Sample workload Olmo 3 32B Think $0.44 vs $0.4

Olmo 3 32B Think is $0.04 cheaper on the standard workload (9.3% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
DeepSeek V3.2 Calculating… Estimated API cost
Olmo 3 32B Think Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Olmo 3 32B Think has the lower input price; DeepSeek V3.2 has the lower output price; DeepSeek V3.2 offers the larger context window. For the 1M input plus 500K output sample, Olmo 3 32B Think is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.44 for DeepSeek V3.2 and $0.4 for Olmo 3 32B Think.

Best Fit

Choose DeepSeek V3.2 when you care most about lower output-token price, and larger context window.

Choose Olmo 3 32B Think when you care most about lower input-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Olmo 3 32B Think is estimated at $0.4 vs $0.44 for DeepSeek V3.2, saving $0.04 (9.3% lower).
  • Olmo 3 32B Think is $0.04 cheaper on the standard workload (9.3% lower).
  • Olmo 3 32B Think is $0.1 cheaper per 1M input tokens (40.5% lower; 1.68x difference).
  • DeepSeek V3.2 is $0.12 cheaper per 1M output tokens (24.4% lower; 1.32x difference).
  • DeepSeek V3.2 has 65.54K more context (2x larger).
Head-to-Head Specs
Feature🔥DeepSeek V3.2
(DeepSeek)
Olmo 3 32B Think
(AllenAI)
Input Price
prompt tokens per 1M
$0.252$0.15
Completion Price
per 1M tokens
$0.378$0.5
Sample Workload Cost
1M input + 500K output
$0.44$0.4
Context Window131.07K65.54K
Release Date
Popularity#8

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionOlmo 3 32B ThinkOn the standard 1M input plus 500K output workload, Olmo 3 32B Think is estimated at $0.4 vs $0.44 for DeepSeek V3.2, saving $0.04 (9.3% lower).
High-volume input processingOlmo 3 32B ThinkLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsDeepSeek V3.2Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workDeepSeek V3.2A larger context window leaves more room for retrieved passages, conversation history, or source files.

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DeepSeek catalog

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AllenAI catalog

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