API cost decision in 10 seconds

Trinity Large Thinking vs Qwen3.5-35B-A3B

Pick Qwen3.5-35B-A3B when budget is the priority.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Qwen3.5-35B-A3B when budget is the priority.

On the standard 1M input plus 500K output workload, Qwen3.5-35B-A3B is estimated at $0.64 vs $0.65 for Trinity Large Thinking, saving $0.006 (0.9% lower).

Cost-first pickQwen3.5-35B-A3B
Context-first pickBoth models
Sample savings$0.0060.9%
10x traffic gap$0.06

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $0.06. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors Qwen3.5-35B-A3B, balanced workload favors Trinity Large Thinking, and output-heavy chatbot favors Trinity Large Thinking.

Workload shapeToken mixBetter pickTrinity Large ThinkingQwen3.5-35B-A3B
Input-heavy / RAG5M input + 500K outputQwen3.5-35B-A3B$1.53$1.2
Balanced workload1M input + 1M outputTrinity Large Thinking$1.07$1.14
Output-heavy chatbot1M input + 5M outputTrinity Large Thinking$4.47$5.14
Cheaper input Qwen3.5-35B-A3B $0.22 vs $0.139 / 1M

Qwen3.5-35B-A3B is $0.08 cheaper per 1M input tokens (36.8% lower; 1.58x difference).

Cheaper output Trinity Large Thinking $0.85 vs $1 / 1M

Trinity Large Thinking is $0.15 cheaper per 1M output tokens (15% lower; 1.18x difference).

Larger context Tie 262.14K vs 262.14K

Both models report the same context window at 262.14K tokens.

Sample workload Qwen3.5-35B-A3B $0.65 vs $0.64

Qwen3.5-35B-A3B is $0.006 cheaper on the standard workload (0.9% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Trinity Large Thinking Calculating… Estimated API cost
Qwen3.5-35B-A3B Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

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

Verdict

Qwen3.5-35B-A3B has the lower input price; Trinity Large Thinking has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Qwen3.5-35B-A3B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.65 for Trinity Large Thinking and $0.64 for Qwen3.5-35B-A3B.

Best Fit

Choose Trinity Large Thinking when you care most about lower output-token price.

Choose Qwen3.5-35B-A3B when you care most about lower input-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen3.5-35B-A3B is estimated at $0.64 vs $0.65 for Trinity Large Thinking, saving $0.006 (0.9% lower).
  • Qwen3.5-35B-A3B is $0.006 cheaper on the standard workload (0.9% lower).
  • Qwen3.5-35B-A3B is $0.08 cheaper per 1M input tokens (36.8% lower; 1.58x difference).
  • Trinity Large Thinking is $0.15 cheaper per 1M output tokens (15% lower; 1.18x difference).
  • Both models report the same context window at 262.14K tokens.
Head-to-Head Specs
FeatureTrinity Large Thinking
(Arcee AI)		Qwen3.5-35B-A3B
(Qwen)
Input Price
prompt tokens per 1M		$0.22$0.139
Completion Price
per 1M tokens		$0.85$1
Sample Workload Cost
1M input + 500K output		$0.65$0.64
Context Window262.14K262.14K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3.5-35B-A3BOn the standard 1M input plus 500K output workload, Qwen3.5-35B-A3B is estimated at $0.64 vs $0.65 for Trinity Large Thinking, saving $0.006 (0.9% lower).
High-volume input processingQwen3.5-35B-A3BLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsTrinity Large ThinkingLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workTieA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • Trinity Large Thinking (free) can replace Trinity Large Thinking when lower sample workload cost matters most: $0.
  • Trinity Mini can replace Trinity Large Thinking when lower sample workload cost matters most: $0.12.
  • Spotlight can replace Trinity Large Thinking when lower sample workload cost matters most: $0.27.
  • Qwen3 Next 80B A3B Instruct (free) can replace Qwen3.5-35B-A3B when lower sample workload cost matters most: $0.
Larger context near this budget

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

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Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

Provider catalogs

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Arcee AI catalog

Review all tracked Arcee AI models before deciding whether this matchup is the right shortlist.

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Qwen catalog

Check other Qwen models with comparable pricing, context, or release timing.

Open Qwen models
Trinity Large Thinking

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...

Qwen3.5-35B-A3B

The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency. Its overall...