Olmo 3 32B Think is $1.85 cheaper per 1M input tokens (92.5% lower; 13.3x difference).
API cost decision in 10 seconds
Olmo 3 32B Think vs Nano Banana Pro (Gemini 3 Pro Image Preview)
Pick Olmo 3 32B Think when budget is the priority.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Olmo 3 32B Think when budget is the priority.
On the standard 1M input plus 500K output workload, Olmo 3 32B Think is estimated at $0.4 vs $8 for Nano Banana Pro (Gemini 3 Pro Image Preview), saving $7.6 (95% lower).
Cost-first pickOlmo 3 32B Think
Context-first pickBoth models
Sample savings$7.695%
10x traffic gap$76
The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $76. 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 | Nano Banana Pro (Gemini 3 Pro Image Preview) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Olmo 3 32B Think | $1 | $16 |
| Balanced workload | 1M input + 1M output | Olmo 3 32B Think | $0.65 | $14 |
| Output-heavy chatbot | 1M input + 5M output | Olmo 3 32B Think | $2.65 | $62 |
Olmo 3 32B Think is $11.5 cheaper per 1M output tokens (95.8% lower; 24x difference).
Both models report the same context window at 65.54K tokens.
Olmo 3 32B Think is $7.6 cheaper on the standard workload (95% 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; both models report the same 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 $8 for Nano Banana Pro (Gemini 3 Pro Image Preview).
Choose Olmo 3 32B Think when you care most about lower input-token price, and lower output-token price.
Choose Nano Banana Pro (Gemini 3 Pro Image Preview) 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, Olmo 3 32B Think is estimated at $0.4 vs $8 for Nano Banana Pro (Gemini 3 Pro Image Preview), saving $7.6 (95% lower).
- Olmo 3 32B Think is $7.6 cheaper on the standard workload (95% lower).
- Olmo 3 32B Think is $1.85 cheaper per 1M input tokens (92.5% lower; 13.3x difference).
- Olmo 3 32B Think is $11.5 cheaper per 1M output tokens (95.8% lower; 24x difference).
- Both models report the same context window at 65.54K tokens.
| Feature | Olmo 3 32B Think (AllenAI) | Nano Banana Pro (Gemini 3 Pro Image Preview) (Google) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.15 | $2 |
| Completion Price per 1M tokens | $0.5 | $12 |
| Sample Workload Cost 1M input + 500K output | $0.4 | $8 |
| Context Window | 65.54K | 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 $8 for Nano Banana Pro (Gemini 3 Pro Image Preview), saving $7.6 (95% 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 | Tie | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Gemma 4 26B A4B (free) can replace Nano Banana Pro (Gemini 3 Pro Image Preview) when lower sample workload cost matters most: $0.
- Gemma 4 31B (free) can replace Nano Banana Pro (Gemini 3 Pro Image Preview) when lower sample workload cost matters most: $0.
- Lyria 3 Pro Preview can replace Nano Banana Pro (Gemini 3 Pro Image Preview) when lower sample workload cost matters most: $0.
- Lyria 3 Clip Preview can replace Nano Banana Pro (Gemini 3 Pro Image Preview) when lower sample workload cost matters most: $0.
- 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.
- 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
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsAllenAI catalog
Review all tracked AllenAI models before deciding whether this matchup is the right shortlist.
Open AllenAI modelsGoogle catalog
Check other Google models with comparable pricing, context, or release timing.
Open Google 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...
Nano Banana Pro is Google’s most advanced image-generation and editing model, built on Gemini 3 Pro. It extends the original Nano Banana with significantly improved multimodal reasoning, real-world grounding, and...