API cost decision in 10 seconds

Qwen3 Next 80B A3B Instruct vs Trinity Large Thinking

Pick Qwen3 Next 80B A3B Instruct when budget is the priority.

Page updated: 2026-05-26T15:08:08Z Data confirmed: 2026-05-31T01:07:53Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Qwen3 Next 80B A3B Instruct when budget is the priority.

On the standard 1M input plus 500K output workload, Qwen3 Next 80B A3B Instruct is estimated at $0.64 vs $0.65 for Trinity Large Thinking, saving $0.005 (0.8% lower).

Cost-first pickQwen3 Next 80B A3B Instruct

Context-first pickBoth models

Sample savings$0.0050.8%

10x traffic gap$0.05

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $0.05. 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 Next 80B A3B Instruct, balanced workload favors Trinity Large Thinking, and output-heavy chatbot favors Trinity Large Thinking.

Workload shape	Token mix	Better pick	Qwen3 Next 80B A3B Instruct	Trinity Large Thinking
Input-heavy / RAG	5M input + 500K output	Qwen3 Next 80B A3B Instruct	$1	$1.53
Balanced workload	1M input + 1M output	Trinity Large Thinking	$1.19	$1.07
Output-heavy chatbot	1M input + 5M output	Trinity Large Thinking	$5.59	$4.47

Cheaper input Qwen3 Next 80B A3B Instruct $0.09 vs $0.22 / 1M

Qwen3 Next 80B A3B Instruct is $0.13 cheaper per 1M input tokens (59.1% lower; 2.44x difference).

Cheaper output Trinity Large Thinking $1.1 vs $0.85 / 1M

Trinity Large Thinking is $0.25 cheaper per 1M output tokens (22.7% lower; 1.29x difference).

Larger context Tie 262.14K vs 262.14K

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

Sample workload Qwen3 Next 80B A3B Instruct $0.64 vs $0.65

Qwen3 Next 80B A3B Instruct is $0.005 cheaper on the standard workload (0.8% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Qwen3 Next 80B A3B Instruct Calculating… Estimated API cost

Trinity Large Thinking 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 Next 80B A3B Instruct 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 Next 80B A3B Instruct is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.64 for Qwen3 Next 80B A3B Instruct and $0.65 for Trinity Large Thinking.

Best Fit

Choose Qwen3 Next 80B A3B Instruct when you care most about lower input-token price.

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

Decision Notes

On the standard 1M input plus 500K output workload, Qwen3 Next 80B A3B Instruct is estimated at $0.64 vs $0.65 for Trinity Large Thinking, saving $0.005 (0.8% lower).
Qwen3 Next 80B A3B Instruct is $0.005 cheaper on the standard workload (0.8% lower).
Qwen3 Next 80B A3B Instruct is $0.13 cheaper per 1M input tokens (59.1% lower; 2.44x difference).
Trinity Large Thinking is $0.25 cheaper per 1M output tokens (22.7% lower; 1.29x difference).
Both models report the same context window at 262.14K tokens.

Head-to-Head Specs

Feature	Qwen3 Next 80B A3B Instruct (Qwen)	Trinity Large Thinking (Arcee AI)
Input Price prompt tokens per 1M	$0.09	$0.22
Completion Price per 1M tokens	$1.1	$0.85
Sample Workload Cost 1M input + 500K output	$0.64	$0.65
Context Window	262.14K	262.14K
Release Date	2025-09-11	2026-04-01
Popularity	#101	#145

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Qwen3 Next 80B A3B Instruct	On the standard 1M input plus 500K output workload, Qwen3 Next 80B A3B Instruct is estimated at $0.64 vs $0.65 for Trinity Large Thinking, saving $0.005 (0.8% lower).
High-volume input processing	Qwen3 Next 80B A3B Instruct	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Trinity Large Thinking	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

Same-provider lower-cost swaps

Qwen3 Next 80B A3B Instruct (free) can replace Qwen3 Next 80B A3B Instruct when lower sample workload cost matters most: $0.
Qwen3 Coder 480B A35B (free) can replace Qwen3 Next 80B A3B Instruct when lower sample workload cost matters most: $0.
Qwen2.5 7B Instruct can replace Qwen3 Next 80B A3B Instruct when lower sample workload cost matters most: $0.09.
Qwen3.5-9B can replace Qwen3 Next 80B A3B Instruct when lower sample workload cost matters most: $0.11.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 sample workload cost.
Owl Alpha offers 1.05M context with $0 sample workload cost.
MiMo-V2.5 offers 1.05M context with $0.28 sample workload cost.
DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.

Popular competitors

Hy3 preview · Tencent · #1
MiMo-V2.5 · Xiaomi · #2
DeepSeek V4 Flash · DeepSeek · #3
Owl Alpha · OpenRouter · #4

Cheaper alternatives

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Larger context alternatives

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Provider catalogs

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Qwen catalog

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Arcee AI catalog

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Qwen3 Next 80B A3B Instruct

Qwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model in the Qwen3-Next series optimized for fast, stable responses without “thinking” traces. It targets complex tasks across reasoning, code generation, knowledge QA, and multilingual...

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...