API cost decision in 10 seconds

NewQwen3.8 2.4T A95B vs NewDeepSeek V4 Pro 0813

Pick DeepSeek V4 Pro 0813 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 V4 Pro 0813 when budget is the priority.

On the standard 1M input plus 500K output workload, DeepSeek V4 Pro 0813 is estimated at $2.81 vs $5 for Qwen3.8 2.4T A95B, saving $2.19 (43.9% lower).

Cost-first pickDeepSeek V4 Pro 0813
Context-first pickBoth models
Sample savings$2.1943.9%
10x traffic gap$21.95

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $21.95. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

DeepSeek V4 Pro 0813 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickQwen3.8 2.4T A95BDeepSeek V4 Pro 0813
Input-heavy / RAG5M input + 500K outputDeepSeek V4 Pro 0813$13$7.29
Balanced workload1M input + 1M outputDeepSeek V4 Pro 0813$8$4.49
Output-heavy chatbot1M input + 5M outputDeepSeek V4 Pro 0813$32$17.95
Cheaper input DeepSeek V4 Pro 0813 $2 vs $1.122 / 1M

DeepSeek V4 Pro 0813 is $0.88 cheaper per 1M input tokens (43.9% lower; 1.78x difference).

Cheaper output DeepSeek V4 Pro 0813 $6 vs $3.366 / 1M

DeepSeek V4 Pro 0813 is $2.63 cheaper per 1M output tokens (43.9% lower; 1.78x difference).

Larger context Tie 1.05M vs 1.05M

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

Sample workload DeepSeek V4 Pro 0813 $5 vs $2.81

DeepSeek V4 Pro 0813 is $2.19 cheaper on the standard workload (43.9% 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
DeepSeek V4 Pro 0813 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 V4 Pro 0813 has the lower input price; DeepSeek V4 Pro 0813 has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, DeepSeek V4 Pro 0813 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 $2.81 for DeepSeek V4 Pro 0813.

Best Fit

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

Choose DeepSeek V4 Pro 0813 when you care most about lower input-token price, and lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, DeepSeek V4 Pro 0813 is estimated at $2.81 vs $5 for Qwen3.8 2.4T A95B, saving $2.19 (43.9% lower).
  • DeepSeek V4 Pro 0813 is $2.19 cheaper on the standard workload (43.9% lower).
  • DeepSeek V4 Pro 0813 is $0.88 cheaper per 1M input tokens (43.9% lower; 1.78x difference).
  • DeepSeek V4 Pro 0813 is $2.63 cheaper per 1M output tokens (43.9% lower; 1.78x difference).
  • Both models report the same context window at 1.05M tokens.
Head-to-Head Specs
FeatureNewQwen3.8 2.4T A95B
(Qwen)
NewDeepSeek V4 Pro 0813
(DeepSeek)
Input Price
prompt tokens per 1M
$2$1.122
Completion Price
per 1M tokens
$6$3.366
Sample Workload Cost
1M input + 500K output
$5$2.81
Context Window1.05M1.05M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionDeepSeek V4 Pro 0813On the standard 1M input plus 500K output workload, DeepSeek V4 Pro 0813 is estimated at $2.81 vs $5 for Qwen3.8 2.4T A95B, saving $2.19 (43.9% lower).
High-volume input processingDeepSeek V4 Pro 0813Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsDeepSeek V4 Pro 0813Lower 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.

Related Alternatives

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

Qwen catalog

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

Open Qwen models

DeepSeek catalog

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

Open DeepSeek 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...

DeepSeek V4 Pro 0813

DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro.