API cost decision in 10 seconds

MiMo-V2-Flash vs Granite 4.0 Micro

Pick Granite 4.0 Micro for lower cost; pick MiMo-V2-Flash only if the larger context window matters more.

Pricing data updated:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Granite 4.0 Micro for lower cost; pick MiMo-V2-Flash only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Granite 4.0 Micro is estimated at $0.07 vs $0.25 for MiMo-V2-Flash, saving $0.18 (70.8% lower).

Cost-first pickGranite 4.0 Micro
Context-first pickMiMo-V2-Flash
Sample savings$0.1870.8%
10x traffic gap$1.77

MiMo-V2-Flash has more context, but Granite 4.0 Micro saves $0.18 on the standard workload. At 10x that traffic, the same price gap is about $1.77. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Granite 4.0 Micro stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickMiMo-V2-FlashGranite 4.0 Micro
Input-heavy / RAG5M input + 500K outputGranite 4.0 Micro$0.65$0.14
Balanced workload1M input + 1M outputGranite 4.0 Micro$0.4$0.13
Output-heavy chatbot1M input + 5M outputGranite 4.0 Micro$1.6$0.58
Cheaper input Granite 4.0 Micro $0.1 vs $0.017 / 1M

Granite 4.0 Micro is $0.08 cheaper per 1M input tokens (83% lower; 5.88x difference).

Cheaper output Granite 4.0 Micro $0.3 vs $0.112 / 1M

Granite 4.0 Micro is $0.19 cheaper per 1M output tokens (62.7% lower; 2.68x difference).

Larger context MiMo-V2-Flash 262.14K vs 131K

MiMo-V2-Flash has 131.14K more context (2x larger).

Sample workload Granite 4.0 Micro $0.25 vs $0.07

Granite 4.0 Micro is $0.18 cheaper on the standard workload (70.8% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
MiMo-V2-Flash Calculating… Estimated API cost
Granite 4.0 Micro 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

Granite 4.0 Micro has the lower input price; Granite 4.0 Micro has the lower output price; MiMo-V2-Flash offers the larger context window. For the 1M input plus 500K output sample, Granite 4.0 Micro is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.25 for MiMo-V2-Flash and $0.07 for Granite 4.0 Micro.

Best Fit

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

Choose Granite 4.0 Micro 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, Granite 4.0 Micro is estimated at $0.07 vs $0.25 for MiMo-V2-Flash, saving $0.18 (70.8% lower).
  • Granite 4.0 Micro is $0.18 cheaper on the standard workload (70.8% lower).
  • Granite 4.0 Micro is $0.08 cheaper per 1M input tokens (83% lower; 5.88x difference).
  • Granite 4.0 Micro is $0.19 cheaper per 1M output tokens (62.7% lower; 2.68x difference).
  • MiMo-V2-Flash has 131.14K more context (2x larger).
Head-to-Head Specs
FeatureMiMo-V2-Flash
(Xiaomi)
Granite 4.0 Micro
(IBM)
Input Price
prompt tokens per 1M
$0.1$0.017
Completion Price
per 1M tokens
$0.3$0.112
Sample Workload Cost
1M input + 500K output
$0.25$0.07
Context Window262.14K131K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGranite 4.0 MicroOn the standard 1M input plus 500K output workload, Granite 4.0 Micro is estimated at $0.07 vs $0.25 for MiMo-V2-Flash, saving $0.18 (70.8% lower).
High-volume input processingGranite 4.0 MicroLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGranite 4.0 MicroLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workMiMo-V2-FlashA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • No lower-cost same-provider swap is currently tracked for this pair.
Popular competitors
  • No popular competitor is currently available.

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

IBM catalog

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

Open IBM models
MiMo-V2-Flash

MiMo-V2-Flash is an open-source foundation language model developed by Xiaomi. It is a Mixture-of-Experts model with 309B total parameters and 15B active parameters, adopting hybrid attention architecture. MiMo-V2-Flash supports a...

Granite 4.0 Micro

Granite-4.0-H-Micro is a 3B parameter from the Granite 4 family of models. These models are the latest in a series of models released by IBM. They are fine-tuned for long...