Model Comparison

DeepSeek-R1 vs MiMo-V2-FlashWhich is better in 2026?

Comparing DeepSeek-R1 and MiMo-V2-Flash across benchmarks, pricing, and capabilities.

Verdict: DeepSeek-R1 vs MiMo-V2-Flash — which is better?

DeepSeek-R1 (by DeepSeek) and MiMo-V2-Flash (by Xiaomi) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

On price, MiMo-V2-Flash is roughly 6.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

MiMo-V2-Flash also accepts a larger context window (256,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose DeepSeek-R1 if…

  • you want predictable pricing at $0.55/M input and $2.19/M output

Choose MiMo-V2-Flash if…

  • cost matters — it's about 6.4x cheaper per token
  • you process long inputs — it offers a 256,000 token context window
  • you want the most recent training data — it shipped Dec 2025
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-R1 and MiMo-V2-Flashdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiMo-V2-Flash costs less

For input processing, DeepSeek-R1 ($0.55/1M tokens) is 5.5x more expensive than MiMo-V2-Flash ($0.10/1M tokens).

For output processing, DeepSeek-R1 ($2.19/1M tokens) is 7.3x more expensive than MiMo-V2-Flash ($0.30/1M tokens).

In conclusion, DeepSeek-R1 is more expensive than MiMo-V2-Flash.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Wed Jun 10 2026 • llm-stats.com
DeepSeek
DeepSeek-R1
Input tokens$0.55
Output tokens$2.19
Best providerDeepSeek
Xiaomi
MiMo-V2-Flash
Input tokens$0.10
Output tokens$0.30
Best providerXiaomi
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

362.0B diff

DeepSeek-R1 has 362.0B more parameters than MiMo-V2-Flash, making it 117.2% larger.

DeepSeek
DeepSeek-R1
671.0Bparameters
Xiaomi
MiMo-V2-Flash
309.0Bparameters
671.0B
DeepSeek-R1
309.0B
MiMo-V2-Flash

Context Window

Maximum input and output token capacity

MiMo-V2-Flash accepts 256,000 input tokens compared to DeepSeek-R1's 131,072 tokens. DeepSeek-R1 can generate longer responses up to 131,072 tokens, while MiMo-V2-Flash is limited to 16,384 tokens.

DeepSeek
DeepSeek-R1
Input131,072 tokens
Output131,072 tokens
Xiaomi
MiMo-V2-Flash
Input256,000 tokens
Output16,384 tokens
Wed Jun 10 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

DeepSeek-R1

MIT

Open weights

MiMo-V2-Flash

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-R1 was released on 2025-01-20, while MiMo-V2-Flash was released on 2025-12-16.

MiMo-V2-Flash is 11 months newer than DeepSeek-R1.

DeepSeek-R1

Jan 20, 2025

1.4 years ago

MiMo-V2-Flash

Dec 16, 2025

5 months ago

11mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

DeepSeek-R1 is available from DeepSeek, DeepInfra, Together, Fireworks. MiMo-V2-Flash is available from Xiaomi.

DeepSeek-R1

deepseek logo
DeepSeek
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.85/1MOutput Price:Output: $2.50/1M
together logo
Together
Input Price:Input: $7.00/1MOutput Price:Output: $7.00/1M
fireworks logo
Fireworks
Input Price:Input: $8.00/1MOutput Price:Output: $8.00/1M

MiMo-V2-Flash

xiaomi logo
Xiaomi
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek

No standout differentiators in the data we have for this pair.

Xiaomi
Larger context window (256,000 tokens)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1
Xiaomi
MiMo-V2-Flash

FAQ

Common questions about DeepSeek-R1 vs MiMo-V2-Flash.

Which is better, DeepSeek-R1 or MiMo-V2-Flash?

DeepSeek-R1 (DeepSeek) and MiMo-V2-Flash (Xiaomi) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-R1 compare to MiMo-V2-Flash in benchmarks?

MiMo-V2-Flash scores AIME 2025: 94.1%, Arena-Hard v2: 86.2%, MMLU-Pro: 84.9%, HMMT 2025: 84.4%, GPQA: 83.7%.

Is DeepSeek-R1 cheaper than MiMo-V2-Flash?

MiMo-V2-Flash is 5.5x cheaper for input tokens. DeepSeek-R1 costs $0.55/M input and $2.19/M output via deepseek. MiMo-V2-Flash costs $0.10/M input and $0.30/M output via xiaomi.

What are the context window sizes for DeepSeek-R1 and MiMo-V2-Flash?

DeepSeek-R1 supports 131K tokens and MiMo-V2-Flash supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-R1 and MiMo-V2-Flash?

Key differences include context window (131K vs 256K), input pricing ($0.55 vs $0.10/M). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-R1 and MiMo-V2-Flash?

DeepSeek-R1 is developed by DeepSeek and MiMo-V2-Flash is developed by Xiaomi.

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