API cost decision in 10 seconds

Qwen3 Next 80B A3B Instruct vs DeepSeek V3.2 Exp

Pick DeepSeek V3.2 Exp for lower cost; pick Qwen3 Next 80B A3B Instruct only if the larger context window matters more.

Page updated: 2026-05-26T15:08:08Z Data confirmed: 2026-05-26T19:08:13Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick DeepSeek V3.2 Exp for lower cost; pick Qwen3 Next 80B A3B Instruct only if the larger context window matters more.

On the standard 1M input plus 500K output workload, DeepSeek V3.2 Exp is estimated at $0.47 vs $0.64 for Qwen3 Next 80B A3B Instruct, saving $0.17 (25.8% lower).

Cost-first pickDeepSeek V3.2 Exp

Context-first pickQwen3 Next 80B A3B Instruct

Sample savings$0.1725.8%

10x traffic gap$1.65

Qwen3 Next 80B A3B Instruct has more context, but DeepSeek V3.2 Exp saves $0.17 on the standard workload. At 10x that traffic, the same price gap is about $1.65. 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 DeepSeek V3.2 Exp, and output-heavy chatbot favors DeepSeek V3.2 Exp.

Workload shape	Token mix	Better pick	Qwen3 Next 80B A3B Instruct	DeepSeek V3.2 Exp
Input-heavy / RAG	5M input + 500K output	Qwen3 Next 80B A3B Instruct	$1	$1.56
Balanced workload	1M input + 1M output	DeepSeek V3.2 Exp	$1.19	$0.68
Output-heavy chatbot	1M input + 5M output	DeepSeek V3.2 Exp	$5.59	$2.32

Cheaper input Qwen3 Next 80B A3B Instruct $0.09 vs $0.27 / 1M

Qwen3 Next 80B A3B Instruct is $0.18 cheaper per 1M input tokens (66.7% lower; 3x difference).

Cheaper output DeepSeek V3.2 Exp $1.1 vs $0.41 / 1M

DeepSeek V3.2 Exp is $0.69 cheaper per 1M output tokens (62.7% lower; 2.68x difference).

Larger context Qwen3 Next 80B A3B Instruct 262.14K vs 163.84K

Qwen3 Next 80B A3B Instruct has 98.3K more context (1.6x larger).

Sample workload DeepSeek V3.2 Exp $0.64 vs $0.47

DeepSeek V3.2 Exp is $0.17 cheaper on the standard workload (25.8% 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

DeepSeek V3.2 Exp 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; DeepSeek V3.2 Exp has the lower output price; Qwen3 Next 80B A3B Instruct offers the larger context window. For the 1M input plus 500K output sample, DeepSeek V3.2 Exp 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 $0.47 for DeepSeek V3.2 Exp.

Best Fit

Choose Qwen3 Next 80B A3B Instruct when you care most about lower input-token price, and larger context window.

Choose DeepSeek V3.2 Exp when you care most about lower output-token price.

Decision Notes

On the standard 1M input plus 500K output workload, DeepSeek V3.2 Exp is estimated at $0.47 vs $0.64 for Qwen3 Next 80B A3B Instruct, saving $0.17 (25.8% lower).
DeepSeek V3.2 Exp is $0.17 cheaper on the standard workload (25.8% lower).
Qwen3 Next 80B A3B Instruct is $0.18 cheaper per 1M input tokens (66.7% lower; 3x difference).
DeepSeek V3.2 Exp is $0.69 cheaper per 1M output tokens (62.7% lower; 2.68x difference).
Qwen3 Next 80B A3B Instruct has 98.3K more context (1.6x larger).

Head-to-Head Specs

Feature	Qwen3 Next 80B A3B Instruct (Qwen)	DeepSeek V3.2 Exp (DeepSeek)
Input Price prompt tokens per 1M	$0.09	$0.27
Completion Price per 1M tokens	$1.1	$0.41
Sample Workload Cost 1M input + 500K output	$0.64	$0.47
Context Window	262.14K	163.84K
Release Date	2025-09-11	2025-09-29
Popularity	#79	#98

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	DeepSeek V3.2 Exp	On the standard 1M input plus 500K output workload, DeepSeek V3.2 Exp is estimated at $0.47 vs $0.64 for Qwen3 Next 80B A3B Instruct, saving $0.17 (25.8% 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	DeepSeek V3.2 Exp	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Qwen3 Next 80B A3B Instruct	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.
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.

Popular competitors

DeepSeek V4 Flash · DeepSeek · #1
Hy3 preview · Tencent · #2
Claude Opus 4.7 · Anthropic · #3
Claude Sonnet 4.6 · Anthropic · #4

Cheaper alternatives

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Larger context alternatives

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Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

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Qwen catalog

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DeepSeek catalog

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

Open DeepSeek models

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...

DeepSeek V3.2 Exp

DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...