API cost decision in 10 seconds

NewMercury 2.5 Preview vs DeepSeek V4 Flash 0731 (batch)

Pick Mercury 2.5 Preview for lower cost; pick DeepSeek V4 Flash 0731 (batch) 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 DeepSeek V4 Flash 0731 (batch) 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 $0.28 for DeepSeek V4 Flash 0731 (batch), saving $0.17 (58.9% lower).

Cost-first pickMercury 2.5 Preview
Context-first pickDeepSeek V4 Flash 0731 (batch)
Sample savings$0.1758.9%
10x traffic gap$1.65

DeepSeek V4 Flash 0731 (batch) has more context, but Mercury 2.5 Preview saves $0.17 on the standard workload. At 10x that traffic, the same price gap is about $1.65. 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 PreviewDeepSeek V4 Flash 0731 (batch)
Input-heavy / RAG5M input + 500K outputMercury 2.5 Preview$0.28$0.84
Balanced workload1M input + 1M outputMercury 2.5 Preview$0.19$0.42
Output-heavy chatbot1M input + 5M outputMercury 2.5 Preview$0.79$1.54
Cheaper input Mercury 2.5 Preview $0.04 vs $0.14 / 1M

Mercury 2.5 Preview is $0.1 cheaper per 1M input tokens (71.4% lower; 3.5x difference).

Cheaper output Mercury 2.5 Preview $0.15 vs $0.28 / 1M

Mercury 2.5 Preview is $0.13 cheaper per 1M output tokens (46.4% lower; 1.87x difference).

Larger context DeepSeek V4 Flash 0731 (batch) 260K vs 1.05M

DeepSeek V4 Flash 0731 (batch) has 788.58K more context (4.03x larger).

Sample workload Mercury 2.5 Preview $0.11 vs $0.28

Mercury 2.5 Preview is $0.17 cheaper on the standard workload (58.9% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Mercury 2.5 Preview Calculating… Estimated API cost
DeepSeek V4 Flash 0731 (batch) 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; DeepSeek V4 Flash 0731 (batch) 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 $0.28 for DeepSeek V4 Flash 0731 (batch).

Best Fit

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

Choose DeepSeek V4 Flash 0731 (batch) 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 $0.28 for DeepSeek V4 Flash 0731 (batch), saving $0.17 (58.9% lower).
  • Mercury 2.5 Preview is $0.17 cheaper on the standard workload (58.9% lower).
  • Mercury 2.5 Preview is $0.1 cheaper per 1M input tokens (71.4% lower; 3.5x difference).
  • Mercury 2.5 Preview is $0.13 cheaper per 1M output tokens (46.4% lower; 1.87x difference).
  • DeepSeek V4 Flash 0731 (batch) has 788.58K more context (4.03x larger).
Head-to-Head Specs
FeatureNewMercury 2.5 Preview
(Inception)
DeepSeek V4 Flash 0731 (batch)
(DeepSeek)
Input Price
prompt tokens per 1M
$0.04$0.14
Completion Price
per 1M tokens
$0.15$0.28
Sample Workload Cost
1M input + 500K output
$0.11$0.28
Context Window260K1.05M
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 $0.28 for DeepSeek V4 Flash 0731 (batch), saving $0.17 (58.9% 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 workDeepSeek V4 Flash 0731 (batch)A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • DeepSeek V4 Flash (free) can replace DeepSeek V4 Flash 0731 (batch) when lower sample workload cost matters most: $0.
  • DeepSeek V4 Flash 0423 can replace DeepSeek V4 Flash 0731 (batch) when lower sample workload cost matters most: $0.15.
  • DeepSeek V4 Flash 0731 can replace DeepSeek V4 Flash 0731 (batch) when lower sample workload cost matters most: $0.15.

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

Inception catalog

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

Open Inception models

DeepSeek catalog

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

Open DeepSeek models
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...

DeepSeek V4 Flash 0731 (batch)

DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows....