gpt-oss-120b is $0.11 cheaper per 1M input tokens (74% lower; 3.85x difference).
API cost decision in 10 seconds
🔥gpt-oss-120b vs Olmo 3 32B Think
Pick gpt-oss-120b when budget and context both matter.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick gpt-oss-120b when budget and context both matter.
On the standard 1M input plus 500K output workload, gpt-oss-120b is estimated at $0.13 vs $0.4 for Olmo 3 32B Think, saving $0.27 (67.8% lower).
Cost-first pickgpt-oss-120b
Context-first pickgpt-oss-120b
Sample savings$0.2767.8%
10x traffic gap$2.71
gpt-oss-120b is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $2.71. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
gpt-oss-120b stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | gpt-oss-120b | Olmo 3 32B Think |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | gpt-oss-120b | $0.29 | $1 |
| Balanced workload | 1M input + 1M output | gpt-oss-120b | $0.22 | $0.65 |
| Output-heavy chatbot | 1M input + 5M output | gpt-oss-120b | $0.94 | $2.65 |
gpt-oss-120b is $0.32 cheaper per 1M output tokens (64% lower; 2.78x difference).
gpt-oss-120b has 65.54K more context (2x larger).
gpt-oss-120b is $0.27 cheaper on the standard workload (67.8% 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
gpt-oss-120b has the lower input price; gpt-oss-120b has the lower output price; gpt-oss-120b offers the larger context window. For the 1M input plus 500K output sample, gpt-oss-120b is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.13 for gpt-oss-120b and $0.4 for Olmo 3 32B Think.
Choose gpt-oss-120b when you care most about lower input-token price, lower output-token price, and larger context window.
Choose Olmo 3 32B Think when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
- On the standard 1M input plus 500K output workload, gpt-oss-120b is estimated at $0.13 vs $0.4 for Olmo 3 32B Think, saving $0.27 (67.8% lower).
- gpt-oss-120b is $0.27 cheaper on the standard workload (67.8% lower).
- gpt-oss-120b is $0.11 cheaper per 1M input tokens (74% lower; 3.85x difference).
- gpt-oss-120b is $0.32 cheaper per 1M output tokens (64% lower; 2.78x difference).
- gpt-oss-120b has 65.54K more context (2x larger).
| Feature | 🔥gpt-oss-120b (OpenAI) | Olmo 3 32B Think (AllenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.039 | $0.15 |
| Completion Price per 1M tokens | $0.18 | $0.5 |
| Sample Workload Cost 1M input + 500K output | $0.13 | $0.4 |
| Context Window | 131.07K | 65.54K |
| Release Date | ||
| Popularity | #20 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | gpt-oss-120b | On the standard 1M input plus 500K output workload, gpt-oss-120b is estimated at $0.13 vs $0.4 for Olmo 3 32B Think, saving $0.27 (67.8% lower). |
| High-volume input processing | gpt-oss-120b | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | gpt-oss-120b | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | gpt-oss-120b | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace gpt-oss-120b when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace gpt-oss-120b when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace gpt-oss-120b when lower sample workload cost matters most: $0.1.
- 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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Open AllenAI modelsgpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...
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...