API cost decision in 10 seconds

Qwen3.5 397B A17B vs KAT-Coder-Pro V2

Pick KAT-Coder-Pro V2 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 KAT-Coder-Pro V2 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, KAT-Coder-Pro V2 is estimated at $0.9 vs $1.56 for Qwen3.5 397B A17B, saving $0.66 (42.3% lower).

Cost-first pickKAT-Coder-Pro V2
Context-first pickQwen3.5 397B A17B
Sample savings$0.6642.3%
10x traffic gap$6.6

Qwen3.5 397B A17B has more context, but KAT-Coder-Pro V2 saves $0.66 on the standard workload. At 10x that traffic, the same price gap is about $6.6. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

KAT-Coder-Pro V2 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickQwen3.5 397B A17BKAT-Coder-Pro V2
Input-heavy / RAG5M input + 500K outputKAT-Coder-Pro V2$3.12$2.1
Balanced workload1M input + 1M outputKAT-Coder-Pro V2$2.73$1.5
Output-heavy chatbot1M input + 5M outputKAT-Coder-Pro V2$12.09$6.3
Cheaper input KAT-Coder-Pro V2 $0.39 vs $0.3 / 1M

KAT-Coder-Pro V2 is $0.09 cheaper per 1M input tokens (23.1% lower; 1.3x difference).

Cheaper output KAT-Coder-Pro V2 $2.34 vs $1.2 / 1M

KAT-Coder-Pro V2 is $1.14 cheaper per 1M output tokens (48.7% lower; 1.95x 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 KAT-Coder-Pro V2 $1.56 vs $0.9

KAT-Coder-Pro V2 is $0.66 cheaper on the standard workload (42.3% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3.5 397B A17B Calculating… Estimated API cost
KAT-Coder-Pro V2 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

KAT-Coder-Pro V2 has the lower input price; KAT-Coder-Pro V2 has the lower output price; Qwen3.5 397B A17B offers the larger context window. For the 1M input plus 500K output sample, KAT-Coder-Pro V2 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 $0.9 for KAT-Coder-Pro V2.

Best Fit

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

Choose KAT-Coder-Pro V2 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, KAT-Coder-Pro V2 is estimated at $0.9 vs $1.56 for Qwen3.5 397B A17B, saving $0.66 (42.3% lower).
  • KAT-Coder-Pro V2 is $0.66 cheaper on the standard workload (42.3% lower).
  • KAT-Coder-Pro V2 is $0.09 cheaper per 1M input tokens (23.1% lower; 1.3x difference).
  • KAT-Coder-Pro V2 is $1.14 cheaper per 1M output tokens (48.7% lower; 1.95x difference).
  • Qwen3.5 397B A17B has 6.14K more context (1.02x larger).
Head-to-Head Specs
FeatureQwen3.5 397B A17B
(Qwen)
KAT-Coder-Pro V2
(Kwaipilot)
Input Price
prompt tokens per 1M
$0.39$0.3
Completion Price
per 1M tokens
$2.34$1.2
Sample Workload Cost
1M input + 500K output
$1.56$0.9
Context Window262.14K256K
Release Date
Popularity#89#117

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionKAT-Coder-Pro V2On the standard 1M input plus 500K output workload, KAT-Coder-Pro V2 is estimated at $0.9 vs $1.56 for Qwen3.5 397B A17B, saving $0.66 (42.3% lower).
High-volume input processingKAT-Coder-Pro V2Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsKAT-Coder-Pro V2Lower 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

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.
  • MiMo-V2.5 offers 1.05M context with $0.28 sample workload cost.
  • DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.

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.

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Qwen catalog

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

Open Qwen models

Kwaipilot catalog

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

Open Kwaipilot models
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