API cost decision in 10 seconds

NewDeepSeek V4.1 Flash vs Mercury 2.5 Preview

Pick DeepSeek V4.1 Flash 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 DeepSeek V4.1 Flash when budget and context both matter.

On the standard 1M input plus 500K output workload, DeepSeek V4.1 Flash is estimated at $0.45 vs $0.57 for Mercury 2.5 Preview, saving $0.12 (21.7% lower).

Cost-first pickDeepSeek V4.1 Flash
Context-first pickDeepSeek V4.1 Flash
Sample savings$0.1221.7%
10x traffic gap$1.25

DeepSeek V4.1 Flash is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $1.25. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

DeepSeek V4.1 Flash stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickDeepSeek V4.1 FlashMercury 2.5 Preview
Input-heavy / RAG5M input + 500K outputDeepSeek V4.1 Flash$1.05$1.38
Balanced workload1M input + 1M outputDeepSeek V4.1 Flash$0.75$0.95
Output-heavy chatbot1M input + 5M outputDeepSeek V4.1 Flash$3.15$3.95
Cheaper input DeepSeek V4.1 Flash $0.15 vs $0.2 / 1M

DeepSeek V4.1 Flash is $0.05 cheaper per 1M input tokens (25% lower; 1.33x difference).

Cheaper output DeepSeek V4.1 Flash $0.6 vs $0.75 / 1M

DeepSeek V4.1 Flash is $0.15 cheaper per 1M output tokens (20% lower; 1.25x difference).

Larger context DeepSeek V4.1 Flash 1.05M vs 260K

DeepSeek V4.1 Flash has 788.58K more context (4.03x larger).

Sample workload DeepSeek V4.1 Flash $0.45 vs $0.57

DeepSeek V4.1 Flash is $0.12 cheaper on the standard workload (21.7% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
DeepSeek V4.1 Flash Calculating… Estimated API cost
Mercury 2.5 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

DeepSeek V4.1 Flash has the lower input price; DeepSeek V4.1 Flash has the lower output price; DeepSeek V4.1 Flash offers the larger context window. For the 1M input plus 500K output sample, DeepSeek V4.1 Flash is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.45 for DeepSeek V4.1 Flash and $0.57 for Mercury 2.5 Preview.

Best Fit

Choose DeepSeek V4.1 Flash when you care most about lower input-token price, lower output-token price, and larger context window.

Choose Mercury 2.5 Preview 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 V4.1 Flash is estimated at $0.45 vs $0.57 for Mercury 2.5 Preview, saving $0.12 (21.7% lower).
  • DeepSeek V4.1 Flash is $0.12 cheaper on the standard workload (21.7% lower).
  • DeepSeek V4.1 Flash is $0.05 cheaper per 1M input tokens (25% lower; 1.33x difference).
  • DeepSeek V4.1 Flash is $0.15 cheaper per 1M output tokens (20% lower; 1.25x difference).
  • DeepSeek V4.1 Flash has 788.58K more context (4.03x larger).
Head-to-Head Specs
FeatureNewDeepSeek V4.1 Flash
(DeepSeek)
Mercury 2.5 Preview
(Inception)
Input Price
prompt tokens per 1M
$0.15$0.2
Completion Price
per 1M tokens
$0.6$0.75
Sample Workload Cost
1M input + 500K output
$0.45$0.57
Context Window1.05M260K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionDeepSeek V4.1 FlashOn the standard 1M input plus 500K output workload, DeepSeek V4.1 Flash is estimated at $0.45 vs $0.57 for Mercury 2.5 Preview, saving $0.12 (21.7% lower).
High-volume input processingDeepSeek V4.1 FlashLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsDeepSeek V4.1 FlashLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workDeepSeek V4.1 FlashA larger context window leaves more room for retrieved passages, conversation history, or source files.

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DeepSeek V4.1 Flash

DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...

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...