API cost decision in 10 seconds

🔥DeepSeek V4 Flash 0731 vs NewMiMo-V2.6-Flash

Pick MiMo-V2.6-Flash for lower cost; pick DeepSeek V4 Flash 0731 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 MiMo-V2.6-Flash for lower cost; pick DeepSeek V4 Flash 0731 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, MiMo-V2.6-Flash is estimated at $0.28 vs $0.36 for DeepSeek V4 Flash 0731, saving $0.08 (22.2% lower).

Cost-first pickMiMo-V2.6-Flash
Context-first pickDeepSeek V4 Flash 0731
Sample savings$0.0822.2%
10x traffic gap$0.8

DeepSeek V4 Flash 0731 has more context, but MiMo-V2.6-Flash saves $0.08 on the standard workload. At 10x that traffic, the same price gap is about $0.8. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors DeepSeek V4 Flash 0731, balanced workload favors MiMo-V2.6-Flash, and output-heavy chatbot favors MiMo-V2.6-Flash.

Workload shapeToken mixBetter pickDeepSeek V4 Flash 0731MiMo-V2.6-Flash
Input-heavy / RAG5M input + 500K outputDeepSeek V4 Flash 0731$0.52$0.84
Balanced workload1M input + 1M outputMiMo-V2.6-Flash$0.68$0.42
Output-heavy chatbot1M input + 5M outputMiMo-V2.6-Flash$3.24$1.54
Cheaper input DeepSeek V4 Flash 0731 $0.04 vs $0.14 / 1M

DeepSeek V4 Flash 0731 is $0.1 cheaper per 1M input tokens (71.4% lower; 3.5x difference).

Cheaper output MiMo-V2.6-Flash $0.64 vs $0.28 / 1M

MiMo-V2.6-Flash is $0.36 cheaper per 1M output tokens (56.2% lower; 2.29x difference).

Larger context DeepSeek V4 Flash 0731 1.31M vs 1.05M

DeepSeek V4 Flash 0731 has 262.14K more context (1.25x larger).

Sample workload MiMo-V2.6-Flash $0.36 vs $0.28

MiMo-V2.6-Flash is $0.08 cheaper on the standard workload (22.2% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
DeepSeek V4 Flash 0731 Calculating… Estimated API cost
MiMo-V2.6-Flash 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 Flash 0731 has the lower input price; MiMo-V2.6-Flash has the lower output price; DeepSeek V4 Flash 0731 offers the larger context window. For the 1M input plus 500K output sample, MiMo-V2.6-Flash is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.36 for DeepSeek V4 Flash 0731 and $0.28 for MiMo-V2.6-Flash.

Best Fit

Choose DeepSeek V4 Flash 0731 when you care most about lower input-token price, and larger context window.

Choose MiMo-V2.6-Flash when you care most about lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, MiMo-V2.6-Flash is estimated at $0.28 vs $0.36 for DeepSeek V4 Flash 0731, saving $0.08 (22.2% lower).
  • MiMo-V2.6-Flash is $0.08 cheaper on the standard workload (22.2% lower).
  • DeepSeek V4 Flash 0731 is $0.1 cheaper per 1M input tokens (71.4% lower; 3.5x difference).
  • MiMo-V2.6-Flash is $0.36 cheaper per 1M output tokens (56.2% lower; 2.29x difference).
  • DeepSeek V4 Flash 0731 has 262.14K more context (1.25x larger).
Head-to-Head Specs
Feature🔥DeepSeek V4 Flash 0731
(DeepSeek)
NewMiMo-V2.6-Flash
(Xiaomi)
Input Price
prompt tokens per 1M
$0.04$0.14
Completion Price
per 1M tokens
$0.64$0.28
Sample Workload Cost
1M input + 500K output
$0.36$0.28
Context Window1.31M1.05M
Release Date
Popularity#6

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionMiMo-V2.6-FlashOn the standard 1M input plus 500K output workload, MiMo-V2.6-Flash is estimated at $0.28 vs $0.36 for DeepSeek V4 Flash 0731, saving $0.08 (22.2% lower).
High-volume input processingDeepSeek V4 Flash 0731Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsMiMo-V2.6-FlashLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workDeepSeek V4 Flash 0731A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Larger context near this budget
  • No larger-context model is currently tracked within a close sample-cost band.

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

DeepSeek catalog

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

Open DeepSeek models

Xiaomi catalog

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

Open Xiaomi models
DeepSeek V4 Flash 0731

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....

MiMo-V2.6-Flash

MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi. Built on a Mixture-of-Experts architecture with 309B total parameters and 15B activated per token, it employs a hybrid attention mechanism for...