API cost decision in 10 seconds

NewQwen3.8 2.4T A95B vs Qwen3.6 Max Preview

Pick Qwen3.6 Max Preview for lower cost; pick Qwen3.8 2.4T A95B 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 Qwen3.6 Max Preview for lower cost; pick Qwen3.8 2.4T A95B only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Qwen3.6 Max Preview is estimated at $4.11 vs $5 for Qwen3.8 2.4T A95B, saving $0.89 (17.8% lower).

Cost-first pickQwen3.6 Max Preview
Context-first pickQwen3.8 2.4T A95B
Sample savings$0.8917.8%
10x traffic gap$8.92

Qwen3.8 2.4T A95B has more context, but Qwen3.6 Max Preview saves $0.89 on the standard workload. At 10x that traffic, the same price gap is about $8.92. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Qwen3.6 Max Preview stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickQwen3.8 2.4T A95BQwen3.6 Max Preview
Input-heavy / RAG5M input + 500K outputQwen3.6 Max Preview$13$8.22
Balanced workload1M input + 1M outputQwen3.6 Max Preview$8$7.19
Output-heavy chatbot1M input + 5M outputQwen3.6 Max Preview$32$31.84
Cheaper input Qwen3.6 Max Preview $2 vs $1.027 / 1M

Qwen3.6 Max Preview is $0.97 cheaper per 1M input tokens (48.7% lower; 1.95x difference).

Cheaper output Qwen3.8 2.4T A95B $6 vs $6.162 / 1M

Qwen3.8 2.4T A95B is $0.16 cheaper per 1M output tokens (2.6% lower; 1.03x difference).

Larger context Qwen3.8 2.4T A95B 1.05M vs 262.14K

Qwen3.8 2.4T A95B has 786.43K more context (4x larger).

Sample workload Qwen3.6 Max Preview $5 vs $4.11

Qwen3.6 Max Preview is $0.89 cheaper on the standard workload (17.8% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3.8 2.4T A95B Calculating… Estimated API cost
Qwen3.6 Max Preview 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

Qwen3.6 Max Preview has the lower input price; Qwen3.8 2.4T A95B has the lower output price; Qwen3.8 2.4T A95B offers the larger context window. For the 1M input plus 500K output sample, Qwen3.6 Max Preview is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $5 for Qwen3.8 2.4T A95B and $4.11 for Qwen3.6 Max Preview.

Best Fit

Choose Qwen3.8 2.4T A95B when you care most about lower output-token price, and larger context window.

Choose Qwen3.6 Max Preview when you care most about lower input-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen3.6 Max Preview is estimated at $4.11 vs $5 for Qwen3.8 2.4T A95B, saving $0.89 (17.8% lower).
  • Qwen3.6 Max Preview is $0.89 cheaper on the standard workload (17.8% lower).
  • Qwen3.6 Max Preview is $0.97 cheaper per 1M input tokens (48.7% lower; 1.95x difference).
  • Qwen3.8 2.4T A95B is $0.16 cheaper per 1M output tokens (2.6% lower; 1.03x difference).
  • Qwen3.8 2.4T A95B has 786.43K more context (4x larger).
Head-to-Head Specs
FeatureNewQwen3.8 2.4T A95B
(Qwen)
Qwen3.6 Max Preview
(Qwen)
Input Price
prompt tokens per 1M
$2$1.027
Completion Price
per 1M tokens
$6$6.162
Sample Workload Cost
1M input + 500K output
$5$4.11
Context Window1.05M262.14K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3.6 Max PreviewOn the standard 1M input plus 500K output workload, Qwen3.6 Max Preview is estimated at $4.11 vs $5 for Qwen3.8 2.4T A95B, saving $0.89 (17.8% lower).
High-volume input processingQwen3.6 Max PreviewLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsQwen3.8 2.4T A95BLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3.8 2.4T A95BA 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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Open provider hubs

Qwen catalog

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

Open Qwen models
Qwen3.8 2.4T A95B

Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total. It is...

Qwen3.6 Max Preview

Qwen3.6-Max-Preview is a proprietary frontier model from Alibaba Cloud built on a sparse mixture-of-experts architecture with approximately 1 trillion total parameters. It is optimized for agentic coding, tool use, and...