API cost decision in 10 seconds

GPT-5.2 Chat vs Olmo 3 32B Think

Pick Olmo 3 32B Think for lower cost; pick GPT-5.2 Chat 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 GPT-5.2 Chat 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 $8.75 for GPT-5.2 Chat, saving $8.35 (95.4% lower).

Cost-first pickOlmo 3 32B Think
Context-first pickGPT-5.2 Chat
Sample savings$8.3595.4%
10x traffic gap$83.5

GPT-5.2 Chat has more context, but Olmo 3 32B Think saves $8.35 on the standard workload. At 10x that traffic, the same price gap is about $83.5. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Olmo 3 32B Think stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGPT-5.2 ChatOlmo 3 32B Think
Input-heavy / RAG5M input + 500K outputOlmo 3 32B Think$15.75$1
Balanced workload1M input + 1M outputOlmo 3 32B Think$15.75$0.65
Output-heavy chatbot1M input + 5M outputOlmo 3 32B Think$71.75$2.65
Cheaper input Olmo 3 32B Think $1.75 vs $0.15 / 1M

Olmo 3 32B Think is $1.6 cheaper per 1M input tokens (91.4% lower; 11.7x difference).

Cheaper output Olmo 3 32B Think $14 vs $0.5 / 1M

Olmo 3 32B Think is $13.5 cheaper per 1M output tokens (96.4% lower; 28x difference).

Larger context GPT-5.2 Chat 128K vs 65.54K

GPT-5.2 Chat has 62.46K more context (1.95x larger).

Sample workload Olmo 3 32B Think $8.75 vs $0.4

Olmo 3 32B Think is $8.35 cheaper on the standard workload (95.4% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
GPT-5.2 Chat 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; Olmo 3 32B Think has the lower output price; GPT-5.2 Chat 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 $8.75 for GPT-5.2 Chat and $0.4 for Olmo 3 32B Think.

Best Fit

Choose GPT-5.2 Chat when you care most about larger context window.

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

Decision Notes
  • On the standard 1M input plus 500K output workload, Olmo 3 32B Think is estimated at $0.4 vs $8.75 for GPT-5.2 Chat, saving $8.35 (95.4% lower).
  • Olmo 3 32B Think is $8.35 cheaper on the standard workload (95.4% lower).
  • Olmo 3 32B Think is $1.6 cheaper per 1M input tokens (91.4% lower; 11.7x difference).
  • Olmo 3 32B Think is $13.5 cheaper per 1M output tokens (96.4% lower; 28x difference).
  • GPT-5.2 Chat has 62.46K more context (1.95x larger).
Head-to-Head Specs
FeatureGPT-5.2 Chat
(OpenAI)		Olmo 3 32B Think
(AllenAI)
Input Price
prompt tokens per 1M		$1.75$0.15
Completion Price
per 1M tokens		$14$0.5
Sample Workload Cost
1M input + 500K output		$8.75$0.4
Context Window128K65.54K
Release Date

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 $8.75 for GPT-5.2 Chat, saving $8.35 (95.4% 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 chatbotsOlmo 3 32B ThinkLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGPT-5.2 ChatA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • gpt-oss-120b (free) can replace GPT-5.2 Chat when lower sample workload cost matters most: $0.
  • gpt-oss-20b (free) can replace GPT-5.2 Chat when lower sample workload cost matters most: $0.
  • gpt-oss-20b can replace GPT-5.2 Chat when lower sample workload cost matters most: $0.1.
  • gpt-oss-120b can replace GPT-5.2 Chat when lower sample workload cost matters most: $0.13.
Larger context near this budget
  • Llama 4 Scout offers 10M context with $0.23 sample workload cost.
  • Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
  • Grok 4.20 offers 2M context with $2.5 sample workload cost.
  • GPT-5.4 offers 1.05M context with $10 sample workload cost.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

Provider catalogs

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OpenAI catalog

Review all tracked OpenAI models before deciding whether this matchup is the right shortlist.

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AllenAI catalog

Check other AllenAI models with comparable pricing, context, or release timing.

Open AllenAI models
GPT-5.2 Chat

GPT-5.2 Chat (AKA Instant) is the fast, lightweight member of the 5.2 family, optimized for low-latency chat while retaining strong general intelligence. It uses adaptive reasoning to selectively “think” on...

Olmo 3 32B Think

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...