Trinity Large Thinking (free) is free for input tokens while Gemini 3.5 Flash costs $1.5 per 1M tokens.
API cost decision in 10 seconds
NewGemini 3.5 Flash vs Trinity Large Thinking (free)
Pick Trinity Large Thinking (free) for lower cost; pick Gemini 3.5 Flash only if the larger context window matters more.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Trinity Large Thinking (free) for lower cost; pick Gemini 3.5 Flash only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Trinity Large Thinking (free) is estimated at $0 vs $6 for Gemini 3.5 Flash, saving $6 (100% lower).
Cost-first pickTrinity Large Thinking (free)
Context-first pickGemini 3.5 Flash
Sample savings$6100%
10x traffic gap$60
Gemini 3.5 Flash has more context, but Trinity Large Thinking (free) saves $6 on the standard workload. At 10x that traffic, the same price gap is about $60. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Trinity Large Thinking (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Gemini 3.5 Flash | Trinity Large Thinking (free) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Trinity Large Thinking (free) | $12 | $0 |
| Balanced workload | 1M input + 1M output | Trinity Large Thinking (free) | $10.5 | $0 |
| Output-heavy chatbot | 1M input + 5M output | Trinity Large Thinking (free) | $46.5 | $0 |
Trinity Large Thinking (free) is free for output tokens while Gemini 3.5 Flash costs $9 per 1M tokens.
Gemini 3.5 Flash has 786.43K more context (4x larger).
Trinity Large Thinking (free) is free for the standard workload while the other model is estimated at $6.
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
Trinity Large Thinking (free) has the lower input price; Trinity Large Thinking (free) has the lower output price; Gemini 3.5 Flash offers the larger context window. For the 1M input plus 500K output sample, Trinity Large Thinking (free) is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $6 for Gemini 3.5 Flash and $0 for Trinity Large Thinking (free).
Choose Gemini 3.5 Flash when you care most about larger context window.
Choose Trinity Large Thinking (free) when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Trinity Large Thinking (free) is estimated at $0 vs $6 for Gemini 3.5 Flash, saving $6 (100% lower).
- Trinity Large Thinking (free) is free for the standard workload while the other model is estimated at $6.
- Trinity Large Thinking (free) is free for input tokens while Gemini 3.5 Flash costs $1.5 per 1M tokens.
- Trinity Large Thinking (free) is free for output tokens while Gemini 3.5 Flash costs $9 per 1M tokens.
- Gemini 3.5 Flash has 786.43K more context (4x larger).
| Feature | NewGemini 3.5 Flash (Google) | Trinity Large Thinking (free) (Arcee AI) |
|---|---|---|
| Input Price prompt tokens per 1M | $1.5 | $0 |
| Completion Price per 1M tokens | $9 | $0 |
| Sample Workload Cost 1M input + 500K output | $6 | $0 |
| Context Window | 1.05M | 262.14K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Trinity Large Thinking (free) | On the standard 1M input plus 500K output workload, Trinity Large Thinking (free) is estimated at $0 vs $6 for Gemini 3.5 Flash, saving $6 (100% lower). |
| High-volume input processing | Trinity Large Thinking (free) | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Trinity Large Thinking (free) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Gemini 3.5 Flash | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Gemma 4 26B A4B (free) can replace Gemini 3.5 Flash when lower sample workload cost matters most: $0.
- Gemma 4 31B (free) can replace Gemini 3.5 Flash when lower sample workload cost matters most: $0.
- Lyria 3 Pro Preview can replace Gemini 3.5 Flash when lower sample workload cost matters most: $0.
- Lyria 3 Clip Preview can replace Gemini 3.5 Flash 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.
- 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 largest context modelsProvider catalogs
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Open provider hubsGoogle catalog
Review all tracked Google models before deciding whether this matchup is the right shortlist.
Open Google modelsArcee AI catalog
Check other Arcee AI models with comparable pricing, context, or release timing.
Open Arcee AI modelsGemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...
Trinity Large Thinking is a powerful open source reasoning model from the team at Arcee AI. It shows strong performance in PinchBench, agentic workloads, and reasoning tasks. Launch video: https://youtu.be/Gc82AXLa0Rg?si=4RLn6WBz33qT--B7...