Both models report the same input price at $0.15 per 1M tokens.
API cost decision in 10 seconds
🔥GPT-4o-mini vs Olmo 3 32B Think
Pick Olmo 3 32B Think for lower cost; pick GPT-4o-mini only if the larger context window matters more.
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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-4o-mini 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 $0.45 for GPT-4o-mini, saving $0.05 (11.1% lower).
Cost-first pickOlmo 3 32B Think
Context-first pickGPT-4o-mini
Sample savings$0.0511.1%
10x traffic gap$0.5
GPT-4o-mini has more context, but Olmo 3 32B Think saves $0.05 on the standard workload. At 10x that traffic, the same price gap is about $0.5. 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 | GPT-4o-mini | Olmo 3 32B Think |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Olmo 3 32B Think | $1.05 | $1 |
| Balanced workload | 1M input + 1M output | Olmo 3 32B Think | $0.75 | $0.65 |
| Output-heavy chatbot | 1M input + 5M output | Olmo 3 32B Think | $3.15 | $2.65 |
Olmo 3 32B Think is $0.1 cheaper per 1M output tokens (16.7% lower; 1.2x difference).
GPT-4o-mini has 62.46K more context (1.95x larger).
Olmo 3 32B Think is $0.05 cheaper on the standard workload (11.1% 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
both models tie on input price; Olmo 3 32B Think has the lower output price; GPT-4o-mini 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 $0.45 for GPT-4o-mini and $0.4 for Olmo 3 32B Think.
Choose GPT-4o-mini when you care most about larger context window.
Choose Olmo 3 32B Think when you care most about lower output-token price.
- On the standard 1M input plus 500K output workload, Olmo 3 32B Think is estimated at $0.4 vs $0.45 for GPT-4o-mini, saving $0.05 (11.1% lower).
- Olmo 3 32B Think is $0.05 cheaper on the standard workload (11.1% lower).
- Both models report the same input price at $0.15 per 1M tokens.
- Olmo 3 32B Think is $0.1 cheaper per 1M output tokens (16.7% lower; 1.2x difference).
- GPT-4o-mini has 62.46K more context (1.95x larger).
| Feature | 🔥GPT-4o-mini (OpenAI) | Olmo 3 32B Think (AllenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.15 | $0.15 |
| Completion Price per 1M tokens | $0.6 | $0.5 |
| Sample Workload Cost 1M input + 500K output | $0.45 | $0.4 |
| Context Window | 128K | 65.54K |
| Release Date | ||
| Popularity | #16 |
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 $0.45 for GPT-4o-mini, saving $0.05 (11.1% lower). |
| High-volume input processing | Tie | 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 | GPT-4o-mini | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace GPT-4o-mini when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-4o-mini when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-4o-mini when lower sample workload cost matters most: $0.1.
- gpt-oss-120b can replace GPT-4o-mini when lower sample workload cost matters most: $0.13.
- Llama 4 Scout offers 10M context with $0.23 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.
- Gemini 2.5 Flash Lite offers 1.05M context with $0.3 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
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