API cost decision in 10 seconds

Mistral Nemo vs Qwen3 Next 80B A3B Instruct

Pick Mistral Nemo 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: 2026-05-26T18:08:02Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Mistral Nemo 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, Mistral Nemo is estimated at $0.04 vs $0.64 for Qwen3 Next 80B A3B Instruct, saving $0.6 (94.5% lower).

Cost-first pickMistral Nemo

Context-first pickQwen3 Next 80B A3B Instruct

Sample savings$0.694.5%

10x traffic gap$6.05

Qwen3 Next 80B A3B Instruct has more context, but Mistral Nemo saves $0.6 on the standard workload. At 10x that traffic, the same price gap is about $6.05. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Mistral Nemo stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	Mistral Nemo	Qwen3 Next 80B A3B Instruct
Input-heavy / RAG	5M input + 500K output	Mistral Nemo	$0.12	$1
Balanced workload	1M input + 1M output	Mistral Nemo	$0.05	$1.19
Output-heavy chatbot	1M input + 5M output	Mistral Nemo	$0.17	$5.59

Cheaper input Mistral Nemo $0.02 vs $0.09 / 1M

Mistral Nemo is $0.07 cheaper per 1M input tokens (77.8% lower; 4.5x difference).

Cheaper output Mistral Nemo $0.03 vs $1.1 / 1M

Mistral Nemo is $1.07 cheaper per 1M output tokens (97.3% lower; 36.7x difference).

Larger context Qwen3 Next 80B A3B Instruct 131.07K vs 262.14K

Qwen3 Next 80B A3B Instruct has 131.07K more context (2x larger).

Sample workload Mistral Nemo $0.04 vs $0.64

Mistral Nemo is $0.6 cheaper on the standard workload (94.5% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Mistral Nemo Calculating… Estimated API cost

Qwen3 Next 80B A3B Instruct 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

Mistral Nemo has the lower input price; Mistral Nemo has the lower output price; Qwen3 Next 80B A3B Instruct offers the larger context window. For the 1M input plus 500K output sample, Mistral Nemo is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.04 for Mistral Nemo and $0.64 for Qwen3 Next 80B A3B Instruct.

Best Fit

Choose Mistral Nemo when you care most about lower input-token price, and lower output-token price.

Choose Qwen3 Next 80B A3B Instruct when you care most about larger context window.

Decision Notes

On the standard 1M input plus 500K output workload, Mistral Nemo is estimated at $0.04 vs $0.64 for Qwen3 Next 80B A3B Instruct, saving $0.6 (94.5% lower).
Mistral Nemo is $0.6 cheaper on the standard workload (94.5% lower).
Mistral Nemo is $0.07 cheaper per 1M input tokens (77.8% lower; 4.5x difference).
Mistral Nemo is $1.07 cheaper per 1M output tokens (97.3% lower; 36.7x difference).
Qwen3 Next 80B A3B Instruct has 131.07K more context (2x larger).

Head-to-Head Specs

Feature	Mistral Nemo (Mistral)	Qwen3 Next 80B A3B Instruct (Qwen)
Input Price prompt tokens per 1M	$0.02	$0.09
Completion Price per 1M tokens	$0.03	$1.1
Sample Workload Cost 1M input + 500K output	$0.04	$0.64
Context Window	131.07K	262.14K
Release Date	2024-07-19	2025-09-11
Popularity	#34	#79

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Mistral Nemo	On the standard 1M input plus 500K output workload, Mistral Nemo is estimated at $0.04 vs $0.64 for Qwen3 Next 80B A3B Instruct, saving $0.6 (94.5% lower).
High-volume input processing	Mistral Nemo	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Mistral Nemo	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

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Cheaper alternatives

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Larger context alternatives

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Provider catalogs

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Mistral catalog

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

Open Mistral models

Qwen catalog

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

Open Qwen models

Mistral Nemo

A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese,...

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...