API cost decision in 10 seconds

Llama 3.1 8B Instruct vs Qwen3.5-35B-A3B

Pick Llama 3.1 8B Instruct for lower cost; pick Qwen3.5-35B-A3B 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 8B Instruct for lower cost; pick Qwen3.5-35B-A3B only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Llama 3.1 8B Instruct is estimated at $0.04 vs $0.64 for Qwen3.5-35B-A3B, saving $0.59 (93% lower).

Cost-first pickLlama 3.1 8B Instruct
Context-first pickQwen3.5-35B-A3B
Sample savings$0.5993%
10x traffic gap$5.94

Qwen3.5-35B-A3B has more context, but Llama 3.1 8B Instruct saves $0.59 on the standard workload. At 10x that traffic, the same price gap is about $5.94. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Llama 3.1 8B Instruct stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickLlama 3.1 8B InstructQwen3.5-35B-A3B
Input-heavy / RAG5M input + 500K outputLlama 3.1 8B Instruct$0.12$1.2
Balanced workload1M input + 1M outputLlama 3.1 8B Instruct$0.07$1.14
Output-heavy chatbot1M input + 5M outputLlama 3.1 8B Instruct$0.27$5.14
Cheaper input Llama 3.1 8B Instruct $0.02 vs $0.139 / 1M

Llama 3.1 8B Instruct is $0.12 cheaper per 1M input tokens (85.6% lower; 6.95x difference).

Cheaper output Llama 3.1 8B Instruct $0.05 vs $1 / 1M

Llama 3.1 8B Instruct is $0.95 cheaper per 1M output tokens (95% lower; 20x difference).

Larger context Qwen3.5-35B-A3B 131.07K vs 262.14K

Qwen3.5-35B-A3B has 131.07K more context (2x larger).

Sample workload Llama 3.1 8B Instruct $0.04 vs $0.64

Llama 3.1 8B Instruct is $0.59 cheaper on the standard workload (93% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Llama 3.1 8B Instruct 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

Llama 3.1 8B Instruct has the lower input price; Llama 3.1 8B Instruct has the lower output price; Qwen3.5-35B-A3B offers the larger context window. For the 1M input plus 500K output sample, Llama 3.1 8B Instruct is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.04 for Llama 3.1 8B Instruct and $0.64 for Qwen3.5-35B-A3B.

Best Fit

Choose Llama 3.1 8B Instruct when you care most about lower input-token price, and lower output-token price.

Choose Qwen3.5-35B-A3B when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Llama 3.1 8B Instruct is estimated at $0.04 vs $0.64 for Qwen3.5-35B-A3B, saving $0.59 (93% lower).
  • Llama 3.1 8B Instruct is $0.59 cheaper on the standard workload (93% lower).
  • Llama 3.1 8B Instruct is $0.12 cheaper per 1M input tokens (85.6% lower; 6.95x difference).
  • Llama 3.1 8B Instruct is $0.95 cheaper per 1M output tokens (95% lower; 20x difference).
  • Qwen3.5-35B-A3B has 131.07K more context (2x larger).
Head-to-Head Specs
FeatureLlama 3.1 8B Instruct
(Meta)
Qwen3.5-35B-A3B
(Qwen)
Input Price
prompt tokens per 1M
$0.02$0.139
Completion Price
per 1M tokens
$0.05$1
Sample Workload Cost
1M input + 500K output
$0.04$0.64
Context Window131.07K262.14K
Release Date
Popularity#40#65

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionLlama 3.1 8B InstructOn the standard 1M input plus 500K output workload, Llama 3.1 8B Instruct is estimated at $0.04 vs $0.64 for Qwen3.5-35B-A3B, saving $0.59 (93% lower).
High-volume input processingLlama 3.1 8B InstructLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsLlama 3.1 8B InstructLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3.5-35B-A3BA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Larger context near this budget

Cheaper alternatives

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

Open cheapest models

Larger context alternatives

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

Open largest context models

Provider catalogs

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

Open provider hubs

Meta catalog

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

Open Meta models

Qwen catalog

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

Open Qwen models
Llama 3.1 8B Instruct

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to...

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...