API cost decision in 10 seconds

Qwen3 32B vs Phi 4

Pick Phi 4 for lower cost; pick Qwen3 32B only if the larger context window matters more.

Page updated: 2026-05-26T15:08:08Z Data confirmed: 2026-06-13T07:08:03Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Phi 4 for lower cost; pick Qwen3 32B 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 $0.22 for Qwen3 32B, saving $0.09 (38.6% lower).

Cost-first pickPhi 4

Context-first pickQwen3 32B

Sample savings$0.0938.6%

10x traffic gap$0.85

Qwen3 32B has more context, but Phi 4 saves $0.09 on the standard workload. At 10x that traffic, the same price gap is about $0.85. 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 shape	Token mix	Better pick	Qwen3 32B	Phi 4
Input-heavy / RAG	5M input + 500K output	Phi 4	$0.54	$0.4
Balanced workload	1M input + 1M output	Phi 4	$0.36	$0.21
Output-heavy chatbot	1M input + 5M output	Phi 4	$1.48	$0.77

Cheaper input Phi 4 $0.08 vs $0.065 / 1M

Phi 4 is $0.01 cheaper per 1M input tokens (18.8% lower; 1.23x difference).

Cheaper output Phi 4 $0.28 vs $0.14 / 1M

Phi 4 is $0.14 cheaper per 1M output tokens (50% lower; 2x difference).

Larger context Qwen3 32B 131.07K vs 16.38K

Qwen3 32B has 114.69K more context (8x larger).

Sample workload Phi 4 $0.22 vs $0.14

Phi 4 is $0.09 cheaper on the standard workload (38.6% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Qwen3 32B 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 32B 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 $0.22 for Qwen3 32B and $0.14 for Phi 4.

Best Fit

Choose Qwen3 32B 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 $0.22 for Qwen3 32B, saving $0.09 (38.6% lower).
Phi 4 is $0.09 cheaper on the standard workload (38.6% lower).
Phi 4 is $0.01 cheaper per 1M input tokens (18.8% lower; 1.23x difference).
Phi 4 is $0.14 cheaper per 1M output tokens (50% lower; 2x difference).
Qwen3 32B has 114.69K more context (8x larger).

Head-to-Head Specs

Feature	Qwen3 32B (Qwen)	Phi 4 (Microsoft)
Input Price prompt tokens per 1M	$0.08	$0.065
Completion Price per 1M tokens	$0.28	$0.14
Sample Workload Cost 1M input + 500K output	$0.22	$0.14
Context Window	131.07K	16.38K
Release Date	2025-04-28	2025-01-10
Popularity	#76	#139

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Phi 4	On the standard 1M input plus 500K output workload, Phi 4 is estimated at $0.14 vs $0.22 for Qwen3 32B, saving $0.09 (38.6% lower).
High-volume input processing	Phi 4	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Phi 4	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Qwen3 32B	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Qwen3 Next 80B A3B Instruct (free) can replace Qwen3 32B when lower sample workload cost matters most: $0.
Qwen3 Coder 480B A35B (free) can replace Qwen3 32B when lower sample workload cost matters most: $0.
Qwen2.5 7B Instruct can replace Qwen3 32B when lower sample workload cost matters most: $0.09.
Qwen3 235B A22B Instruct 2507 can replace Qwen3 32B when lower sample workload cost matters most: $0.14.

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.
Lyria 3 Pro Preview offers 1.05M context with $0 sample workload cost.

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Cheaper alternatives

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Larger context alternatives

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

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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 32B

Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...

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...