API cost decision in 10 seconds

🔥MiMo-V2.6-Flash vs NewLing 3.1 Flash

Pick Ling 3.1 Flash for lower cost; pick MiMo-V2.6-Flash 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 Ling 3.1 Flash for lower cost; pick MiMo-V2.6-Flash only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Ling 3.1 Flash is estimated at $0.19 vs $0.28 for MiMo-V2.6-Flash, saving $0.09 (33% lower).

Cost-first pickLing 3.1 Flash
Context-first pickMiMo-V2.6-Flash
Sample savings$0.0933%
10x traffic gap$0.93

MiMo-V2.6-Flash has more context, but Ling 3.1 Flash saves $0.09 on the standard workload. At 10x that traffic, the same price gap is about $0.93. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Ling 3.1 Flash stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickMiMo-V2.6-FlashLing 3.1 Flash
Input-heavy / RAG5M input + 500K outputLing 3.1 Flash$0.84$0.49
Balanced workload1M input + 1M outputLing 3.1 Flash$0.42$0.3
Output-heavy chatbot1M input + 5M outputLing 3.1 Flash$1.54$1.2
Cheaper input Ling 3.1 Flash $0.14 vs $0.075 / 1M

Ling 3.1 Flash is $0.07 cheaper per 1M input tokens (46.4% lower; 1.87x difference).

Cheaper output Ling 3.1 Flash $0.28 vs $0.225 / 1M

Ling 3.1 Flash is $0.06 cheaper per 1M output tokens (19.6% lower; 1.24x difference).

Larger context MiMo-V2.6-Flash 1.05M vs 262.14K

MiMo-V2.6-Flash has 787.86K more context (4.01x larger).

Sample workload Ling 3.1 Flash $0.28 vs $0.19

Ling 3.1 Flash is $0.09 cheaper on the standard workload (33% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
MiMo-V2.6-Flash Calculating… Estimated API cost
Ling 3.1 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

Ling 3.1 Flash has the lower input price; Ling 3.1 Flash has the lower output price; MiMo-V2.6-Flash offers the larger context window. For the 1M input plus 500K output sample, Ling 3.1 Flash is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.28 for MiMo-V2.6-Flash and $0.19 for Ling 3.1 Flash.

Best Fit

Choose MiMo-V2.6-Flash when you care most about larger context window.

Choose Ling 3.1 Flash 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, Ling 3.1 Flash is estimated at $0.19 vs $0.28 for MiMo-V2.6-Flash, saving $0.09 (33% lower).
  • Ling 3.1 Flash is $0.09 cheaper on the standard workload (33% lower).
  • Ling 3.1 Flash is $0.07 cheaper per 1M input tokens (46.4% lower; 1.87x difference).
  • Ling 3.1 Flash is $0.06 cheaper per 1M output tokens (19.6% lower; 1.24x difference).
  • MiMo-V2.6-Flash has 787.86K more context (4.01x larger).
Head-to-Head Specs
Feature🔥MiMo-V2.6-Flash
(Xiaomi)
NewLing 3.1 Flash
(inclusionAI)
Input Price
prompt tokens per 1M
$0.14$0.075
Completion Price
per 1M tokens
$0.28$0.225
Sample Workload Cost
1M input + 500K output
$0.28$0.19
Context Window1.05M262.14K
Release Date
Popularity#4

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionLing 3.1 FlashOn the standard 1M input plus 500K output workload, Ling 3.1 Flash is estimated at $0.19 vs $0.28 for MiMo-V2.6-Flash, saving $0.09 (33% lower).
High-volume input processingLing 3.1 FlashLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsLing 3.1 FlashLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workMiMo-V2.6-FlashA 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

Xiaomi catalog

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

Open Xiaomi models

inclusionAI catalog

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

Open inclusionAI models
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...

Ling 3.1 Flash

Ling 3.1 Flash is a hybrid reasoning mixture-of-experts model from inclusionAI, with 25B active parameters out of 560B total.