API cost decision in 10 seconds

MiMo-V2-Pro vs R1 0528

Pick R1 0528 for lower cost; pick MiMo-V2-Pro only if the larger context window matters more.

Page updated: 2026-05-26T15:08:08Z Data confirmed: 2026-05-26T18:08:02Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick R1 0528 for lower cost; pick MiMo-V2-Pro only if the larger context window matters more.

On the standard 1M input plus 500K output workload, R1 0528 is estimated at $1.57 vs $2.5 for MiMo-V2-Pro, saving $0.93 (37% lower).

Cost-first pickR1 0528

Context-first pickMiMo-V2-Pro

Sample savings$0.9337%

10x traffic gap$9.25

MiMo-V2-Pro has more context, but R1 0528 saves $0.93 on the standard workload. At 10x that traffic, the same price gap is about $9.25. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

R1 0528 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	MiMo-V2-Pro	R1 0528
Input-heavy / RAG	5M input + 500K output	R1 0528	$6.5	$3.58
Balanced workload	1M input + 1M output	R1 0528	$4	$2.65
Output-heavy chatbot	1M input + 5M output	R1 0528	$16	$11.25

Cheaper input R1 0528 $1 vs $0.5 / 1M

R1 0528 is $0.5 cheaper per 1M input tokens (50% lower; 2x difference).

Cheaper output R1 0528 $3 vs $2.15 / 1M

R1 0528 is $0.85 cheaper per 1M output tokens (28.3% lower; 1.4x difference).

Larger context MiMo-V2-Pro 1.05M vs 163.84K

MiMo-V2-Pro has 884.74K more context (6.4x larger).

Sample workload R1 0528 $2.5 vs $1.57

R1 0528 is $0.93 cheaper on the standard workload (37% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

MiMo-V2-Pro Calculating… Estimated API cost

R1 0528 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

R1 0528 has the lower input price; R1 0528 has the lower output price; MiMo-V2-Pro offers the larger context window. For the 1M input plus 500K output sample, R1 0528 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $2.5 for MiMo-V2-Pro and $1.57 for R1 0528.

Best Fit

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

Choose R1 0528 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, R1 0528 is estimated at $1.57 vs $2.5 for MiMo-V2-Pro, saving $0.93 (37% lower).
R1 0528 is $0.93 cheaper on the standard workload (37% lower).
R1 0528 is $0.5 cheaper per 1M input tokens (50% lower; 2x difference).
R1 0528 is $0.85 cheaper per 1M output tokens (28.3% lower; 1.4x difference).
MiMo-V2-Pro has 884.74K more context (6.4x larger).

Head-to-Head Specs

Feature	MiMo-V2-Pro (Xiaomi)	R1 0528 (DeepSeek)
Input Price prompt tokens per 1M	$1	$0.5
Completion Price per 1M tokens	$3	$2.15
Sample Workload Cost 1M input + 500K output	$2.5	$1.57
Context Window	1.05M	163.84K
Release Date	2026-03-18	2025-05-28
Popularity	#74	#106

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	R1 0528	On the standard 1M input plus 500K output workload, R1 0528 is estimated at $1.57 vs $2.5 for MiMo-V2-Pro, saving $0.93 (37% lower).
High-volume input processing	R1 0528	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	R1 0528	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	MiMo-V2-Pro	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

MiMo-V2-Flash can replace MiMo-V2-Pro when lower sample workload cost matters most: $0.25.
MiMo-V2.5 can replace MiMo-V2-Pro when lower sample workload cost matters most: $0.28.
MiMo-V2.5-Pro can replace MiMo-V2-Pro when lower sample workload cost matters most: $0.87.
MiMo-V2-Omni can replace MiMo-V2-Pro when lower sample workload cost matters most: $1.4.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 sample workload cost.
Grok 4.20 offers 2M context with $2.5 sample workload cost.
Owl Alpha offers 1.05M context with $0 sample workload cost.

Popular competitors

DeepSeek V4 Flash · DeepSeek · #1
Hy3 preview · Tencent · #2
Claude Opus 4.7 · Anthropic · #3
Claude Sonnet 4.6 · Anthropic · #4

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

DeepSeek catalog

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

Open DeepSeek models

MiMo-V2-Pro

MiMo-V2-Pro is Xiaomi's flagship foundation model, featuring over 1T total parameters and a 1M context length, deeply optimized for agentic scenarios. It is highly adaptable to general agent frameworks like...

R1 0528

May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active...