API cost decision in 10 seconds

Reka Edge vs Qwen3.5-9B

Pick Qwen3.5-9B when budget and context both matter.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Qwen3.5-9B when budget and context both matter.

On the standard 1M input plus 500K output workload, Qwen3.5-9B is estimated at $0.11 vs $0.15 for Reka Edge, saving $0.04 (23.3% lower).

Cost-first pickQwen3.5-9B
Context-first pickQwen3.5-9B
Sample savings$0.0423.3%
10x traffic gap$0.35

Qwen3.5-9B is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.35. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors Qwen3.5-9B, balanced workload favors Qwen3.5-9B, and output-heavy chatbot favors Reka Edge.

Workload shapeToken mixBetter pickReka EdgeQwen3.5-9B
Input-heavy / RAG5M input + 500K outputQwen3.5-9B$0.55$0.28
Balanced workload1M input + 1M outputQwen3.5-9B$0.2$0.19
Output-heavy chatbot1M input + 5M outputReka Edge$0.6$0.79
Cheaper input Qwen3.5-9B $0.1 vs $0.04 / 1M

Qwen3.5-9B is $0.06 cheaper per 1M input tokens (60% lower; 2.5x difference).

Cheaper output Reka Edge $0.1 vs $0.15 / 1M

Reka Edge is $0.05 cheaper per 1M output tokens (33.3% lower; 1.5x difference).

Larger context Qwen3.5-9B 16.38K vs 262.14K

Qwen3.5-9B has 245.76K more context (16x larger).

Sample workload Qwen3.5-9B $0.15 vs $0.11

Qwen3.5-9B is $0.04 cheaper on the standard workload (23.3% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Reka Edge 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; Reka Edge has the lower output price; Qwen3.5-9B 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 $0.15 for Reka Edge and $0.11 for Qwen3.5-9B.

Best Fit

Choose Reka Edge when you care most about lower output-token price.

Choose Qwen3.5-9B when you care most about lower input-token price, and larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen3.5-9B is estimated at $0.11 vs $0.15 for Reka Edge, saving $0.04 (23.3% lower).
  • Qwen3.5-9B is $0.04 cheaper on the standard workload (23.3% lower).
  • Qwen3.5-9B is $0.06 cheaper per 1M input tokens (60% lower; 2.5x difference).
  • Reka Edge is $0.05 cheaper per 1M output tokens (33.3% lower; 1.5x difference).
  • Qwen3.5-9B has 245.76K more context (16x larger).
Head-to-Head Specs
FeatureReka Edge
(rekaai)
Qwen3.5-9B
(Qwen)
Input Price
prompt tokens per 1M
$0.1$0.04
Completion Price
per 1M tokens
$0.1$0.15
Sample Workload Cost
1M input + 500K output
$0.15$0.11
Context Window16.38K262.14K
Release Date

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 $0.15 for Reka Edge, saving $0.04 (23.3% lower).
High-volume input processingQwen3.5-9BLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsReka EdgeLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3.5-9BA 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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rekaai catalog

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Qwen catalog

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Reka Edge

Reka Edge is an extremely efficient 7B multimodal vision-language model that accepts image/video+text inputs and generates text outputs. This model is optimized specifically to deliver industry-leading performance in image understanding,...

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...