API cost decision in 10 seconds

Qwen3.5 397B A17B vs Qwen3 VL 8B Instruct

Pick Qwen3 VL 8B Instruct for lower cost; pick Qwen3.5 397B A17B 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 Qwen3 VL 8B Instruct for lower cost; pick Qwen3.5 397B A17B only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Qwen3 VL 8B Instruct is estimated at $0.33 vs $1.56 for Qwen3.5 397B A17B, saving $1.23 (78.8% lower).

Cost-first pickQwen3 VL 8B Instruct
Context-first pickQwen3.5 397B A17B
Sample savings$1.2378.8%
10x traffic gap$12.3

Qwen3.5 397B A17B has more context, but Qwen3 VL 8B Instruct saves $1.23 on the standard workload. At 10x that traffic, the same price gap is about $12.3. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Qwen3 VL 8B Instruct stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickQwen3.5 397B A17BQwen3 VL 8B Instruct
Input-heavy / RAG5M input + 500K outputQwen3 VL 8B Instruct$3.12$0.65
Balanced workload1M input + 1M outputQwen3 VL 8B Instruct$2.73$0.58
Output-heavy chatbot1M input + 5M outputQwen3 VL 8B Instruct$12.09$2.58
Cheaper input Qwen3 VL 8B Instruct $0.39 vs $0.08 / 1M

Qwen3 VL 8B Instruct is $0.31 cheaper per 1M input tokens (79.5% lower; 4.88x difference).

Cheaper output Qwen3 VL 8B Instruct $2.34 vs $0.5 / 1M

Qwen3 VL 8B Instruct is $1.84 cheaper per 1M output tokens (78.6% lower; 4.68x difference).

Larger context Qwen3.5 397B A17B 262.14K vs 256K

Qwen3.5 397B A17B has 6.14K more context (1.02x larger).

Sample workload Qwen3 VL 8B Instruct $1.56 vs $0.33

Qwen3 VL 8B Instruct is $1.23 cheaper on the standard workload (78.8% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3.5 397B A17B Calculating… Estimated API cost
Qwen3 VL 8B 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 VL 8B Instruct has the lower input price; Qwen3 VL 8B Instruct has the lower output price; Qwen3.5 397B A17B offers the larger context window. For the 1M input plus 500K output sample, Qwen3 VL 8B Instruct is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $1.56 for Qwen3.5 397B A17B and $0.33 for Qwen3 VL 8B Instruct.

Best Fit

Choose Qwen3.5 397B A17B when you care most about larger context window.

Choose Qwen3 VL 8B Instruct when you care most about lower input-token price, and lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen3 VL 8B Instruct is estimated at $0.33 vs $1.56 for Qwen3.5 397B A17B, saving $1.23 (78.8% lower).
  • Qwen3 VL 8B Instruct is $1.23 cheaper on the standard workload (78.8% lower).
  • Qwen3 VL 8B Instruct is $0.31 cheaper per 1M input tokens (79.5% lower; 4.88x difference).
  • Qwen3 VL 8B Instruct is $1.84 cheaper per 1M output tokens (78.6% lower; 4.68x difference).
  • Qwen3.5 397B A17B has 6.14K more context (1.02x larger).
Head-to-Head Specs
FeatureQwen3.5 397B A17B
(Qwen)
Qwen3 VL 8B Instruct
(Qwen)
Input Price
prompt tokens per 1M
$0.39$0.08
Completion Price
per 1M tokens
$2.34$0.5
Sample Workload Cost
1M input + 500K output
$1.56$0.33
Context Window262.14K256K
Release Date
Popularity#53#108

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3 VL 8B InstructOn the standard 1M input plus 500K output workload, Qwen3 VL 8B Instruct is estimated at $0.33 vs $1.56 for Qwen3.5 397B A17B, saving $1.23 (78.8% lower).
High-volume input processingQwen3 VL 8B InstructLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsQwen3 VL 8B InstructLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3.5 397B A17BA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

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Larger context alternatives

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Provider catalogs

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Open provider hubs

Qwen catalog

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

Open Qwen models
Qwen3.5 397B A17B

The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers...

Qwen3 VL 8B Instruct

Qwen3-VL-8B-Instruct is a multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understanding and reasoning across text, images, and video. It features improved multimodal fusion with Interleaved-MRoPE for long-horizon...