API cost decision in 10 seconds

Qwen3.6 35B A3B vs Phi 4

Pick Phi 4 for lower cost; pick Qwen3.6 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 Phi 4 for lower cost; pick Qwen3.6 35B A3B only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Phi 4 is estimated at $0.14 vs $0.65 for Qwen3.6 35B A3B, saving $0.52 (79.2% lower).

Cost-first pickPhi 4
Context-first pickQwen3.6 35B A3B
Sample savings$0.5279.2%
10x traffic gap$5.15

Qwen3.6 35B A3B has more context, but Phi 4 saves $0.52 on the standard workload. At 10x that traffic, the same price gap is about $5.15. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Phi 4 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickQwen3.6 35B A3BPhi 4
Input-heavy / RAG5M input + 500K outputPhi 4$1.25$0.4
Balanced workload1M input + 1M outputPhi 4$1.15$0.21
Output-heavy chatbot1M input + 5M outputPhi 4$5.15$0.77
Cheaper input Phi 4 $0.15 vs $0.065 / 1M

Phi 4 is $0.08 cheaper per 1M input tokens (56.7% lower; 2.31x difference).

Cheaper output Phi 4 $1 vs $0.14 / 1M

Phi 4 is $0.86 cheaper per 1M output tokens (86% lower; 7.14x difference).

Larger context Qwen3.6 35B A3B 262.14K vs 16.38K

Qwen3.6 35B A3B has 245.76K more context (16x larger).

Sample workload Phi 4 $0.65 vs $0.14

Phi 4 is $0.52 cheaper on the standard workload (79.2% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3.6 35B A3B Calculating… Estimated API cost
Phi 4 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

Phi 4 has the lower input price; Phi 4 has the lower output price; Qwen3.6 35B A3B offers the larger context window. For the 1M input plus 500K output sample, Phi 4 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.65 for Qwen3.6 35B A3B and $0.14 for Phi 4.

Best Fit

Choose Qwen3.6 35B A3B when you care most about larger context window.

Choose Phi 4 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, Phi 4 is estimated at $0.14 vs $0.65 for Qwen3.6 35B A3B, saving $0.52 (79.2% lower).
  • Phi 4 is $0.52 cheaper on the standard workload (79.2% lower).
  • Phi 4 is $0.08 cheaper per 1M input tokens (56.7% lower; 2.31x difference).
  • Phi 4 is $0.86 cheaper per 1M output tokens (86% lower; 7.14x difference).
  • Qwen3.6 35B A3B has 245.76K more context (16x larger).
Head-to-Head Specs
FeatureQwen3.6 35B A3B
(Qwen)
Phi 4
(Microsoft)
Input Price
prompt tokens per 1M
$0.15$0.065
Completion Price
per 1M tokens
$1$0.14
Sample Workload Cost
1M input + 500K output
$0.65$0.14
Context Window262.14K16.38K
Release Date
Popularity#69#139

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionPhi 4On the standard 1M input plus 500K output workload, Phi 4 is estimated at $0.14 vs $0.65 for Qwen3.6 35B A3B, saving $0.52 (79.2% lower).
High-volume input processingPhi 4Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsPhi 4Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3.6 35B A3BA 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 $0.25 sample workload cost.
  • Owl Alpha offers 1.05M context with $0 sample workload cost.
  • DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
  • MiMo-V2.5 offers 1.05M context with $0.28 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.

Open provider hubs

Qwen catalog

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

Open Qwen models

Microsoft catalog

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

Open Microsoft models
Qwen3.6 35B A3B

Qwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token. It uses a hybrid sparse mixture-of-experts architecture combining Gated...

Phi 4

[Microsoft Research](/microsoft) Phi-4 is designed to perform well in complex reasoning tasks and can operate efficiently in situations with limited memory or where quick responses are needed. At 14 billion...