API cost decision in 10 seconds

NewMercury 3 vs DeepSeek V4 Flash Vision Exp (batch)

The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.

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

Budget verdict

The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.

Both models are estimated at $0.28 for the standard 1M input plus 500K output workload.

Cost-first pickTie
Context-first pickDeepSeek V4 Flash Vision Exp (batch)
Sample savings$00%
10x traffic gap$0

Context-window winner: DeepSeek V4 Flash Vision Exp (batch). Cost does not separate this pair on the standard workload, so the next decision point is context window and model behavior.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors Mercury 3, balanced workload favors DeepSeek V4 Flash Vision Exp (batch), and output-heavy chatbot favors DeepSeek V4 Flash Vision Exp (batch).

Workload shapeToken mixBetter pickMercury 3DeepSeek V4 Flash Vision Exp (batch)
Input-heavy / RAG5M input + 500K outputMercury 3$0.68$0.72
Balanced workload1M input + 1M outputDeepSeek V4 Flash Vision Exp (batch)$0.45$0.44
Output-heavy chatbot1M input + 5M outputDeepSeek V4 Flash Vision Exp (batch)$1.85$1.76
Cheaper input Mercury 3 $0.1 vs $0.11 / 1M

Mercury 3 is $0.01 cheaper per 1M input tokens (9.1% lower; 1.1x difference).

Cheaper output DeepSeek V4 Flash Vision Exp (batch) $0.35 vs $0.33 / 1M

DeepSeek V4 Flash Vision Exp (batch) is $0.02 cheaper per 1M output tokens (5.7% lower; 1.06x difference).

Larger context DeepSeek V4 Flash Vision Exp (batch) 1M vs 1.05M

DeepSeek V4 Flash Vision Exp (batch) has 48.58K more context (1.05x larger).

Sample workload Tie $0.28 vs $0.28

Both models have the same estimated cost for the standard 1M input plus 500K output workload: $0.28.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Mercury 3 Calculating… Estimated API cost
DeepSeek V4 Flash Vision Exp (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 3 has the lower input price; DeepSeek V4 Flash Vision Exp (batch) has the lower output price; DeepSeek V4 Flash Vision Exp (batch) offers the larger context window. For the 1M input plus 500K output sample, the standard workload cost is tied.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.28 for Mercury 3 and $0.28 for DeepSeek V4 Flash Vision Exp (batch).

Best Fit

Choose Mercury 3 when you care most about lower input-token price.

Choose DeepSeek V4 Flash Vision Exp (batch) when you care most about lower output-token price, and larger context window.

Decision Notes
  • Both models are estimated at $0.28 for the standard 1M input plus 500K output workload.
  • Both models have the same estimated cost for the standard 1M input plus 500K output workload: $0.28.
  • Mercury 3 is $0.01 cheaper per 1M input tokens (9.1% lower; 1.1x difference).
  • DeepSeek V4 Flash Vision Exp (batch) is $0.02 cheaper per 1M output tokens (5.7% lower; 1.06x difference).
  • DeepSeek V4 Flash Vision Exp (batch) has 48.58K more context (1.05x larger).
Head-to-Head Specs
FeatureNewMercury 3
(Inception)
DeepSeek V4 Flash Vision Exp (batch)
(DeepSeek)
Input Price
prompt tokens per 1M
$0.1$0.11
Completion Price
per 1M tokens
$0.35$0.33
Sample Workload Cost
1M input + 500K output
$0.28$0.28
Context Window1M1.05M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionTieBoth models are estimated at $0.28 for the standard 1M input plus 500K output workload.
High-volume input processingMercury 3Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsDeepSeek V4 Flash Vision Exp (batch)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workDeepSeek V4 Flash Vision Exp (batch)A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • Mercury 2.5 can replace Mercury 3 when lower sample workload cost matters most: $0.11.
  • DeepSeek V4 Flash 0731 (free) can replace DeepSeek V4 Flash Vision Exp (batch) when lower sample workload cost matters most: $0.
  • DeepSeek V4 Flash (free) can replace DeepSeek V4 Flash Vision Exp (batch) when lower sample workload cost matters most: $0.
  • DeepSeek V4 Flash Latest can replace DeepSeek V4 Flash Vision Exp (batch) when lower sample workload cost matters most: $0.07.

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 3

Mercury 3 is a diffusion-based language model from Inception, and the lab's most capable model to date. It is suited for agentic workflows and real-time applications where latency compounds, such...

DeepSeek V4 Flash Vision Exp (batch)

DeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of [DeepSeek V4 Flash 0731](https://openrouter.ai/deepseek/deepseek-v4-flash-0731) from DeepSeek, adding image understanding while matching the base model on text capabilities including agents,...