API cost decision in 10 seconds

Solar Pro 4 vs Qwen3.7 Flash

Pick Solar Pro 4 for lower cost; pick Qwen3.7 Flash 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 Solar Pro 4 for lower cost; pick Qwen3.7 Flash only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Solar Pro 4 is estimated at $0.09 vs $0.1 for Qwen3.7 Flash, saving $0.005 (5.3% lower).

Cost-first pickSolar Pro 4
Context-first pickQwen3.7 Flash
Sample savings$0.0055.3%
10x traffic gap$0.05

Qwen3.7 Flash has more context, but Solar Pro 4 saves $0.005 on the standard workload. At 10x that traffic, the same price gap is about $0.05. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

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

Workload shapeToken mixBetter pickSolar Pro 4Qwen3.7 Flash
Input-heavy / RAG5M input + 500K outputSolar Pro 4$0.21$0.21
Balanced workload1M input + 1M outputSolar Pro 4$0.15$0.16
Output-heavy chatbot1M input + 5M outputSolar Pro 4$0.63$0.68
Cheaper input Tie $0.03 vs $0.03 / 1M

Both models report the same input price at $0.03 per 1M tokens.

Cheaper output Solar Pro 4 $0.12 vs $0.13 / 1M

Solar Pro 4 is $0.01 cheaper per 1M output tokens (7.7% lower; 1.08x difference).

Larger context Qwen3.7 Flash 524.29K vs 1M

Qwen3.7 Flash has 475.71K more context (1.91x larger).

Sample workload Solar Pro 4 $0.09 vs $0.1

Solar Pro 4 is $0.005 cheaper on the standard workload (5.3% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Solar Pro 4 Calculating… Estimated API cost
Qwen3.7 Flash 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

both models tie on input price; Solar Pro 4 has the lower output price; Qwen3.7 Flash offers the larger context window. For the 1M input plus 500K output sample, Solar Pro 4 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.09 for Solar Pro 4 and $0.1 for Qwen3.7 Flash.

Best Fit

Choose Solar Pro 4 when you care most about lower output-token price.

Choose Qwen3.7 Flash when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Solar Pro 4 is estimated at $0.09 vs $0.1 for Qwen3.7 Flash, saving $0.005 (5.3% lower).
  • Solar Pro 4 is $0.005 cheaper on the standard workload (5.3% lower).
  • Both models report the same input price at $0.03 per 1M tokens.
  • Solar Pro 4 is $0.01 cheaper per 1M output tokens (7.7% lower; 1.08x difference).
  • Qwen3.7 Flash has 475.71K more context (1.91x larger).
Head-to-Head Specs
FeatureSolar Pro 4
(Upstage)
Qwen3.7 Flash
(Qwen)
Input Price
prompt tokens per 1M
$0.03$0.03
Completion Price
per 1M tokens
$0.12$0.13
Sample Workload Cost
1M input + 500K output
$0.09$0.1
Context Window524.29K1M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionSolar Pro 4On the standard 1M input plus 500K output workload, Solar Pro 4 is estimated at $0.09 vs $0.1 for Qwen3.7 Flash, saving $0.005 (5.3% lower).
High-volume input processingTieLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsSolar Pro 4Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3.7 FlashA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

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Provider catalogs

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Upstage catalog

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Qwen catalog

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Solar Pro 4

Solar Pro 4 is Upstage's cost-efficient large language model, featuring a 524K context window. It is built for long-horizon tasks and agentic workflows, with strong capabilities in office productivity, document-intensive...

Qwen3.7 Flash

Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding, search, and computer interaction, with strengths in object recognition, spatial understanding, and real-world...