Olmo 3 32B Think is $0.85 cheaper per 1M input tokens (85% lower; 6.67x difference).
API cost decision in 10 seconds
Relace Search vs Olmo 3 32B Think
Pick Olmo 3 32B Think for lower cost; pick Relace Search only if the larger context window matters more.
Budget verdict
Pick Olmo 3 32B Think for lower cost; pick Relace Search 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 $2.5 for Relace Search, saving $2.1 (84% lower).
Relace Search has more context, but Olmo 3 32B Think saves $2.1 on the standard workload. At 10x that traffic, the same price gap is about $21. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Olmo 3 32B Think stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Relace Search | Olmo 3 32B Think |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Olmo 3 32B Think | $6.5 | $1 |
| Balanced workload | 1M input + 1M output | Olmo 3 32B Think | $4 | $0.65 |
| Output-heavy chatbot | 1M input + 5M output | Olmo 3 32B Think | $16 | $2.65 |
Olmo 3 32B Think is $2.5 cheaper per 1M output tokens (83.3% lower; 6x difference).
Relace Search has 190.46K more context (3.91x larger).
Olmo 3 32B Think is $2.1 cheaper on the standard workload (84% lower).
Estimate your workload cost
Your Workload Cost
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
Olmo 3 32B Think has the lower input price; Olmo 3 32B Think has the lower output price; Relace Search 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 $2.5 for Relace Search and $0.4 for Olmo 3 32B Think.
Choose Relace Search 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.
- On the standard 1M input plus 500K output workload, Olmo 3 32B Think is estimated at $0.4 vs $2.5 for Relace Search, saving $2.1 (84% lower).
- Olmo 3 32B Think is $2.1 cheaper on the standard workload (84% lower).
- Olmo 3 32B Think is $0.85 cheaper per 1M input tokens (85% lower; 6.67x difference).
- Olmo 3 32B Think is $2.5 cheaper per 1M output tokens (83.3% lower; 6x difference).
- Relace Search has 190.46K more context (3.91x larger).
| Feature | Relace Search (Relace) | Olmo 3 32B Think (AllenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $1 | $0.15 |
| Completion Price per 1M tokens | $3 | $0.5 |
| Sample Workload Cost 1M input + 500K output | $2.5 | $0.4 |
| Context Window | 256K | 65.54K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Olmo 3 32B Think | On the standard 1M input plus 500K output workload, Olmo 3 32B Think is estimated at $0.4 vs $2.5 for Relace Search, saving $2.1 (84% lower). |
| High-volume input processing | Olmo 3 32B Think | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Olmo 3 32B Think | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Relace Search | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Relace Apply 3 can replace Relace Search when lower sample workload cost matters most: $1.48.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
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Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsRelace catalog
Review all tracked Relace models before deciding whether this matchup is the right shortlist.
Open Relace modelsAllenAI catalog
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Open AllenAI modelsThe relace-search model uses 4-12 `view_file` and `grep` tools in parallel to explore a codebase and return relevant files to the user request. In contrast to RAG, relace-search performs agentic...
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...