API cost decision in 10 seconds

NewMercury 2.5 Preview vs Qwen3.6 27B

Pick Mercury 2.5 Preview for lower cost; pick Qwen3.6 27B 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 Mercury 2.5 Preview for lower cost; pick Qwen3.6 27B only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Mercury 2.5 Preview is estimated at $0.11 vs $2.4 for Qwen3.6 27B, saving $2.29 (95.2% lower).

Cost-first pickMercury 2.5 Preview
Context-first pickQwen3.6 27B
Sample savings$2.2995.2%
10x traffic gap$22.85

Qwen3.6 27B has more context, but Mercury 2.5 Preview saves $2.29 on the standard workload. At 10x that traffic, the same price gap is about $22.85. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Mercury 2.5 Preview stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickMercury 2.5 PreviewQwen3.6 27B
Input-heavy / RAG5M input + 500K outputMercury 2.5 Preview$0.28$4.8
Balanced workload1M input + 1M outputMercury 2.5 Preview$0.19$4.2
Output-heavy chatbot1M input + 5M outputMercury 2.5 Preview$0.79$18.6
Cheaper input Mercury 2.5 Preview $0.04 vs $0.6 / 1M

Mercury 2.5 Preview is $0.56 cheaper per 1M input tokens (93.3% lower; 15x difference).

Cheaper output Mercury 2.5 Preview $0.15 vs $3.6 / 1M

Mercury 2.5 Preview is $3.45 cheaper per 1M output tokens (95.8% lower; 24x difference).

Larger context Qwen3.6 27B 260K vs 262.14K

Qwen3.6 27B has 2.14K more context (1.01x larger).

Sample workload Mercury 2.5 Preview $0.11 vs $2.4

Mercury 2.5 Preview is $2.29 cheaper on the standard workload (95.2% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Mercury 2.5 Preview Calculating… Estimated API cost
Qwen3.6 27B 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

Mercury 2.5 Preview has the lower input price; Mercury 2.5 Preview has the lower output price; Qwen3.6 27B offers the larger context window. For the 1M input plus 500K output sample, Mercury 2.5 Preview is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.11 for Mercury 2.5 Preview and $2.4 for Qwen3.6 27B.

Best Fit

Choose Mercury 2.5 Preview when you care most about lower input-token price, and lower output-token price.

Choose Qwen3.6 27B when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Mercury 2.5 Preview is estimated at $0.11 vs $2.4 for Qwen3.6 27B, saving $2.29 (95.2% lower).
  • Mercury 2.5 Preview is $2.29 cheaper on the standard workload (95.2% lower).
  • Mercury 2.5 Preview is $0.56 cheaper per 1M input tokens (93.3% lower; 15x difference).
  • Mercury 2.5 Preview is $3.45 cheaper per 1M output tokens (95.8% lower; 24x difference).
  • Qwen3.6 27B has 2.14K more context (1.01x larger).
Head-to-Head Specs
FeatureNewMercury 2.5 Preview
(Inception)
Qwen3.6 27B
(Qwen)
Input Price
prompt tokens per 1M
$0.04$0.6
Completion Price
per 1M tokens
$0.15$3.6
Sample Workload Cost
1M input + 500K output
$0.11$2.4
Context Window260K262.14K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionMercury 2.5 PreviewOn the standard 1M input plus 500K output workload, Mercury 2.5 Preview is estimated at $0.11 vs $2.4 for Qwen3.6 27B, saving $2.29 (95.2% lower).
High-volume input processingMercury 2.5 PreviewLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsMercury 2.5 PreviewLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3.6 27BA larger context window leaves more room for retrieved passages, conversation history, or source files.

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Provider catalogs

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Inception catalog

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Qwen catalog

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

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Mercury 2.5 Preview

Mercury 2.5 is the fastest reasoning LLM, and the latest diffusion LLM (dLLM) from Inception. Instead of generating tokens sequentially, Mercury 2.5 produces and refines multiple tokens in parallel, achieving...

Qwen3.6 27B

Qwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026. It features hybrid multimodal capabilities — accepting text, image, and video inputs...