API cost decision in 10 seconds

Qwen3 Next 80B A3B Instruct vs Llama 3.1 70B Instruct

Pick Llama 3.1 70B Instruct for lower cost; pick Qwen3 Next 80B A3B Instruct only if the larger context window matters more.

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

Budget verdict

Pick Llama 3.1 70B Instruct 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, Llama 3.1 70B Instruct is estimated at $0.6 vs $0.64 for Qwen3 Next 80B A3B Instruct, saving $0.04 (6.2% lower).

Cost-first pickLlama 3.1 70B Instruct
Context-first pickQwen3 Next 80B A3B Instruct
Sample savings$0.046.2%
10x traffic gap$0.4

Qwen3 Next 80B A3B Instruct has more context, but Llama 3.1 70B Instruct saves $0.04 on the standard workload. At 10x that traffic, the same price gap is about $0.4. 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 Llama 3.1 70B Instruct, and output-heavy chatbot favors Llama 3.1 70B Instruct.

Workload shapeToken mixBetter pickQwen3 Next 80B A3B InstructLlama 3.1 70B Instruct
Input-heavy / RAG5M input + 500K outputQwen3 Next 80B A3B Instruct$1$2.2
Balanced workload1M input + 1M outputLlama 3.1 70B Instruct$1.19$0.8
Output-heavy chatbot1M input + 5M outputLlama 3.1 70B Instruct$5.59$2.4
Cheaper input Qwen3 Next 80B A3B Instruct $0.09 vs $0.4 / 1M

Qwen3 Next 80B A3B Instruct is $0.31 cheaper per 1M input tokens (77.5% lower; 4.44x difference).

Cheaper output Llama 3.1 70B Instruct $1.1 vs $0.4 / 1M

Llama 3.1 70B Instruct is $0.7 cheaper per 1M output tokens (63.6% lower; 2.75x difference).

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

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

Sample workload Llama 3.1 70B Instruct $0.64 vs $0.6

Llama 3.1 70B Instruct is $0.04 cheaper on the standard workload (6.2% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3 Next 80B A3B Instruct Calculating… Estimated API cost
Llama 3.1 70B 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

Qwen3 Next 80B A3B Instruct has the lower input price; Llama 3.1 70B Instruct has the lower output price; Qwen3 Next 80B A3B Instruct offers the larger context window. For the 1M input plus 500K output sample, Llama 3.1 70B 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 $0.6 for Llama 3.1 70B Instruct.

Best Fit

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

Choose Llama 3.1 70B Instruct when you care most about lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Llama 3.1 70B Instruct is estimated at $0.6 vs $0.64 for Qwen3 Next 80B A3B Instruct, saving $0.04 (6.2% lower).
  • Llama 3.1 70B Instruct is $0.04 cheaper on the standard workload (6.2% lower).
  • Qwen3 Next 80B A3B Instruct is $0.31 cheaper per 1M input tokens (77.5% lower; 4.44x difference).
  • Llama 3.1 70B Instruct is $0.7 cheaper per 1M output tokens (63.6% lower; 2.75x difference).
  • Qwen3 Next 80B A3B Instruct has 131.07K more context (2x larger).
Head-to-Head Specs
FeatureQwen3 Next 80B A3B Instruct
(Qwen)
Llama 3.1 70B Instruct
(Meta)
Input Price
prompt tokens per 1M
$0.09$0.4
Completion Price
per 1M tokens
$1.1$0.4
Sample Workload Cost
1M input + 500K output
$0.64$0.6
Context Window262.14K131.07K
Release Date
Popularity#79#87

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionLlama 3.1 70B InstructOn the standard 1M input plus 500K output workload, Llama 3.1 70B Instruct is estimated at $0.6 vs $0.64 for Qwen3 Next 80B A3B Instruct, saving $0.04 (6.2% lower).
High-volume input processingQwen3 Next 80B A3B InstructLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsLlama 3.1 70B InstructLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3 Next 80B A3B InstructA 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

Cheaper alternatives

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Larger context alternatives

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

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Provider catalogs

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

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Qwen catalog

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

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Meta catalog

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

Open Meta 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...

Llama 3.1 70B Instruct

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong...