API cost decision in 10 seconds

🔥DeepSeek V4 Flash vs Qwen3.5-9B

Pick Qwen3.5-9B for lower cost; pick DeepSeek V4 Flash only if the larger context window matters more.

Pricing data updated:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Qwen3.5-9B for lower cost; pick DeepSeek V4 Flash only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Qwen3.5-9B is estimated at $0.11 vs $0.22 for DeepSeek V4 Flash, saving $0.11 (48.7% lower).

Cost-first pickQwen3.5-9B
Context-first pickDeepSeek V4 Flash
Sample savings$0.1148.7%
10x traffic gap$1.09

DeepSeek V4 Flash has more context, but Qwen3.5-9B saves $0.11 on the standard workload. At 10x that traffic, the same price gap is about $1.09. Use the calculator below to replace the sample workload with your own token volume.

Cheaper input Qwen3.5-9B $0.112 vs $0.04 / 1M

Qwen3.5-9B is $0.07 cheaper per 1M input tokens (64.3% lower; 2.8x difference).

Cheaper output Qwen3.5-9B $0.224 vs $0.15 / 1M

Qwen3.5-9B is $0.07 cheaper per 1M output tokens (33% lower; 1.49x difference).

Larger context DeepSeek V4 Flash 1.05M vs 262.14K

DeepSeek V4 Flash has 786.43K more context (4x larger).

Sample workload Qwen3.5-9B $0.22 vs $0.11

Qwen3.5-9B is $0.11 cheaper on the standard workload (48.7% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
DeepSeek V4 Flash Calculating… Estimated API cost
Qwen3.5-9B 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

Qwen3.5-9B has the lower input price; Qwen3.5-9B has the lower output price; DeepSeek V4 Flash offers the larger context window. For the 1M input plus 500K output sample, Qwen3.5-9B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.22 for DeepSeek V4 Flash and $0.11 for Qwen3.5-9B.

Best Fit

Choose DeepSeek V4 Flash when you care most about larger context window.

Choose Qwen3.5-9B 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, Qwen3.5-9B is estimated at $0.11 vs $0.22 for DeepSeek V4 Flash, saving $0.11 (48.7% lower).
  • Qwen3.5-9B is $0.11 cheaper on the standard workload (48.7% lower).
  • Qwen3.5-9B is $0.07 cheaper per 1M input tokens (64.3% lower; 2.8x difference).
  • Qwen3.5-9B is $0.07 cheaper per 1M output tokens (33% lower; 1.49x difference).
  • DeepSeek V4 Flash has 786.43K more context (4x larger).
Head-to-Head Specs
Feature🔥DeepSeek V4 Flash
(DeepSeek)
Qwen3.5-9B
(Qwen)
Input Price
prompt tokens per 1M
$0.112$0.04
Completion Price
per 1M tokens
$0.224$0.15
Sample Workload Cost
1M input + 500K output
$0.22$0.11
Context Window1.05M262.14K
Release Date
Popularity Rank
current rank
#1Unranked

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3.5-9BOn the standard 1M input plus 500K output workload, Qwen3.5-9B is estimated at $0.11 vs $0.22 for DeepSeek V4 Flash, saving $0.11 (48.7% lower).
High-volume input processingQwen3.5-9BLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsQwen3.5-9BLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workDeepSeek V4 FlashA 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.

Cheaper alternatives

Review low-cost models ranked 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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DeepSeek catalog

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

Open DeepSeek models

Qwen catalog

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

Open Qwen models
DeepSeek V4 Flash

DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and...

Qwen3.5-9B

Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design...