Olmo 3 32B Think is $1.1 cheaper per 1M input tokens (88% lower; 8.33x difference).
API cost decision in 10 seconds
Olmo 3 32B Think vs GPT-5.1 Chat
Pick Olmo 3 32B Think for lower cost; pick GPT-5.1 Chat only if the larger context window matters more.
Budget verdict
Pick Olmo 3 32B Think for lower cost; pick GPT-5.1 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 $6.25 for GPT-5.1 Chat, saving $5.85 (93.6% lower).
GPT-5.1 Chat has more context, but Olmo 3 32B Think saves $5.85 on the standard workload. At 10x that traffic, the same price gap is about $58.5. 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 | Olmo 3 32B Think | GPT-5.1 Chat |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Olmo 3 32B Think | $1 | $11.25 |
| Balanced workload | 1M input + 1M output | Olmo 3 32B Think | $0.65 | $11.25 |
| Output-heavy chatbot | 1M input + 5M output | Olmo 3 32B Think | $2.65 | $51.25 |
Olmo 3 32B Think is $9.5 cheaper per 1M output tokens (95% lower; 20x difference).
GPT-5.1 Chat has 62.46K more context (1.95x larger).
Olmo 3 32B Think is $5.85 cheaper on the standard workload (93.6% 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; GPT-5.1 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 $0.4 for Olmo 3 32B Think and $6.25 for GPT-5.1 Chat.
Choose Olmo 3 32B Think when you care most about lower input-token price, and lower output-token price.
Choose GPT-5.1 Chat when you care most about larger context window.
- On the standard 1M input plus 500K output workload, Olmo 3 32B Think is estimated at $0.4 vs $6.25 for GPT-5.1 Chat, saving $5.85 (93.6% lower).
- Olmo 3 32B Think is $5.85 cheaper on the standard workload (93.6% lower).
- Olmo 3 32B Think is $1.1 cheaper per 1M input tokens (88% lower; 8.33x difference).
- Olmo 3 32B Think is $9.5 cheaper per 1M output tokens (95% lower; 20x difference).
- GPT-5.1 Chat has 62.46K more context (1.95x larger).
| Feature | Olmo 3 32B Think (AllenAI) | GPT-5.1 Chat (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.15 | $1.25 |
| Completion Price per 1M tokens | $0.5 | $10 |
| Sample Workload Cost 1M input + 500K output | $0.4 | $6.25 |
| Context Window | 65.54K | 128K |
| 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 $6.25 for GPT-5.1 Chat, saving $5.85 (93.6% 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 | GPT-5.1 Chat | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace GPT-5.1 Chat when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-5.1 Chat when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-5.1 Chat when lower sample workload cost matters most: $0.1.
- gpt-oss-120b can replace GPT-5.1 Chat when lower sample workload cost matters most: $0.13.
- 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.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- No popular competitor is currently available.
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 OpenAI modelsOlmo 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...
GPT-5.1 Chat (AKA Instant is the fast, lightweight member of the 5.1 family, optimized for low-latency chat while retaining strong general intelligence. It uses adaptive reasoning to selectively “think” on...