API cost decision in 10 seconds

NewDeepSeek Pro Latest vs Qwen3.8 2.4T A95B

Pick DeepSeek Pro Latest when budget is the priority.

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

Budget verdict

Pick DeepSeek Pro Latest when budget is the priority.

On the standard 1M input plus 500K output workload, DeepSeek Pro Latest is estimated at $1.45 vs $5 for Qwen3.8 2.4T A95B, saving $3.55 (71% lower).

Cost-first pickDeepSeek Pro Latest
Context-first pickBoth models
Sample savings$3.5571%
10x traffic gap$35.51

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $35.51. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

DeepSeek Pro Latest stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickDeepSeek Pro LatestQwen3.8 2.4T A95B
Input-heavy / RAG5M input + 500K outputDeepSeek Pro Latest$3.77$13
Balanced workload1M input + 1M outputDeepSeek Pro Latest$2.32$8
Output-heavy chatbot1M input + 5M outputDeepSeek Pro Latest$9.27$32
Cheaper input DeepSeek Pro Latest $0.5795 vs $2 / 1M

DeepSeek Pro Latest is $1.42 cheaper per 1M input tokens (71% lower; 3.45x difference).

Cheaper output DeepSeek Pro Latest $1.7384 vs $6 / 1M

DeepSeek Pro Latest is $4.26 cheaper per 1M output tokens (71% lower; 3.45x difference).

Larger context Tie 1.05M vs 1.05M

Both models report the same context window at 1.05M tokens.

Sample workload DeepSeek Pro Latest $1.45 vs $5

DeepSeek Pro Latest is $3.55 cheaper on the standard workload (71% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
DeepSeek Pro Latest Calculating… Estimated API cost
Qwen3.8 2.4T A95B 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

DeepSeek Pro Latest has the lower input price; DeepSeek Pro Latest has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, DeepSeek Pro Latest is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $1.45 for DeepSeek Pro Latest and $5 for Qwen3.8 2.4T A95B.

Best Fit

Choose DeepSeek Pro Latest when you care most about lower input-token price, and lower output-token price.

Choose Qwen3.8 2.4T A95B when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes
  • On the standard 1M input plus 500K output workload, DeepSeek Pro Latest is estimated at $1.45 vs $5 for Qwen3.8 2.4T A95B, saving $3.55 (71% lower).
  • DeepSeek Pro Latest is $3.55 cheaper on the standard workload (71% lower).
  • DeepSeek Pro Latest is $1.42 cheaper per 1M input tokens (71% lower; 3.45x difference).
  • DeepSeek Pro Latest is $4.26 cheaper per 1M output tokens (71% lower; 3.45x difference).
  • Both models report the same context window at 1.05M tokens.
Head-to-Head Specs
FeatureNewDeepSeek Pro Latest
(DeepSeek)
Qwen3.8 2.4T A95B
(Qwen)
Input Price
prompt tokens per 1M
$0.5795$2
Completion Price
per 1M tokens
$1.7384$6
Sample Workload Cost
1M input + 500K output
$1.45$5
Context Window1.05M1.05M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionDeepSeek Pro LatestOn the standard 1M input plus 500K output workload, DeepSeek Pro Latest is estimated at $1.45 vs $5 for Qwen3.8 2.4T A95B, saving $3.55 (71% lower).
High-volume input processingDeepSeek Pro LatestLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsDeepSeek Pro LatestLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workTieA larger context window leaves more room for retrieved passages, conversation history, or source files.

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DeepSeek Pro Latest

This model always redirects to the latest model in the DeepSeek Pro family.

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...