Model Comparison

MiMo-V2.5-Pro vs MiMo-V2-ProWhich is better in 2026?

MiMo-V2.5-Pro shows notably better performance in the majority of benchmarks. MiMo-V2.5-Pro is 2.8x cheaper per token.

Verdict: MiMo-V2.5-Pro vs MiMo-V2-Pro — which is better?

MiMo-V2.5-Pro (by Xiaomi) and MiMo-V2-Pro (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.

MiMo-V2.5-Pro outperforms in 3 benchmarks (Claw-Eval, SWE-Bench Verified, Terminal-Bench 2.0), while MiMo-V2-Pro is better at 1 benchmark (GDPval-AA). MiMo-V2.5-Pro shows notably better performance in the majority of benchmarks.

On price, MiMo-V2.5-Pro is roughly 2.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

MiMo-V2.5-Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose MiMo-V2.5-Pro if…

  • you want the strongest raw capability — it leads on 3 of 4 shared benchmarks
  • cost matters — it's about 2.8x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Apr 2026
  • you need open weights you can self-host or fine-tune

Choose MiMo-V2-Pro if…

  • you want predictable pricing at $1.00/M input and $3.00/M output

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

MiMo-V2.5-Pro outperforms in 3 benchmarks (Claw-Eval, SWE-Bench Verified, Terminal-Bench 2.0), while MiMo-V2-Pro is better at 1 benchmark (GDPval-AA).

MiMo-V2.5-Pro shows notably better performance in the majority of benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiMo-V2.5-Pro costs less

For input processing, MiMo-V2.5-Pro ($0.43/1M tokens) is 2.3x cheaper than MiMo-V2-Pro ($1.00/1M tokens).

For output processing, MiMo-V2.5-Pro ($0.87/1M tokens) is 3.4x cheaper than MiMo-V2-Pro ($3.00/1M tokens).

In conclusion, MiMo-V2-Pro is more expensive than MiMo-V2.5-Pro.*

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

Lowest available price from all providers
Fri Jul 17 2026 • llm-stats.com
Xiaomi
MiMo-V2.5-Pro
Input tokens$0.43
Output tokens$0.87
Best providerXiaomi
Xiaomi
MiMo-V2-Pro
Input tokens$1.00
Output tokens$3.00
Best providerXiaomi
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

23.2B diff

MiMo-V2.5-Pro has 23.2B more parameters than MiMo-V2-Pro, making it 2.3% larger.

Xiaomi
MiMo-V2.5-Pro
1.0Tparameters
Xiaomi
MiMo-V2-Pro
1.0Tparameters
1023.2B
MiMo-V2.5-Pro
1000.0B
MiMo-V2-Pro

Context Window

Maximum input and output token capacity

MiMo-V2.5-Pro accepts 1,048,576 input tokens compared to MiMo-V2-Pro's 1,000,000 tokens. MiMo-V2.5-Pro can generate longer responses up to 131,072 tokens, while MiMo-V2-Pro is limited to 16,384 tokens.

Xiaomi
MiMo-V2.5-Pro
Input1,048,576 tokens
Output131,072 tokens
Xiaomi
MiMo-V2-Pro
Input1,000,000 tokens
Output16,384 tokens
Fri Jul 17 2026 • llm-stats.com

License

Usage and distribution terms

MiMo-V2.5-Pro is licensed under MIT, while MiMo-V2-Pro uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

MiMo-V2.5-Pro

MIT

Open weights

MiMo-V2-Pro

Proprietary

Closed source

Release Timeline

When each model was launched

MiMo-V2.5-Pro was released on 2026-04-27, while MiMo-V2-Pro was released on 2026-03-18.

MiMo-V2.5-Pro is 1 month newer than MiMo-V2-Pro.

MiMo-V2.5-Pro

Apr 27, 2026

2 months ago

1mo newer
MiMo-V2-Pro

Mar 18, 2026

4 months ago

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

MiMo-V2.5-Pro is available from Xiaomi, DeepInfra, Novita. MiMo-V2-Pro is available from Xiaomi.

MiMo-V2.5-Pro

xiaomi logo
Xiaomi
Input Price:Input: $0.43/1MOutput Price:Output: $0.87/1M
deepinfra logo
Deepinfra
Input Price:Input: $1.00/1MOutput Price:Output: $3.00/1M
novita logo
Novita
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M

MiMo-V2-Pro

xiaomi logo
Xiaomi
Input Price:Input: $1.00/1MOutput Price:Output: $3.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Xiaomi
Larger context window (1,048,576 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher Claw-Eval score (64.0% vs 61.5%)
Higher SWE-Bench Verified score (78.9% vs 78.0%)
Higher Terminal-Bench 2.0 score (68.4% vs 57.1%)
Xiaomi
Higher GDPval-AA score (47.5% vs 42.9%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against MiMo-V2.5-Pro and MiMo-V2-Pro side-by-side, then vote on the output you prefer.

MiMo-V2.5-Pro
✓ Preferred
MiMo-V2-Pro
Open in Playground
AI Model Comparison Table
Feature
Xiaomi
MiMo-V2.5-Pro
Xiaomi
MiMo-V2-Pro

FAQ

Common questions about MiMo-V2.5-Pro vs MiMo-V2-Pro.

Which is better, MiMo-V2.5-Pro or MiMo-V2-Pro?

MiMo-V2.5-Pro shows notably better performance in the majority of benchmarks. MiMo-V2.5-Pro is made by Xiaomi and MiMo-V2-Pro is made by Xiaomi. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does MiMo-V2.5-Pro compare to MiMo-V2-Pro in benchmarks?

MiMo-V2.5-Pro scores FrontierSWE (Impl.): 100.0%, GSM8k: 99.6%, ARC-C: 97.2%, MMLU-Redux: 92.8%, C-Eval: 91.5%. MiMo-V2-Pro scores Tau2 Telecom: 96.8%, DeepSearchQA: 86.7%, PinchBench: 81.0%, SWE-Bench Verified: 78.0%, SWE-bench Multilingual: 71.7%.

Is MiMo-V2.5-Pro cheaper than MiMo-V2-Pro?

MiMo-V2.5-Pro is 2.3x cheaper for input tokens. MiMo-V2.5-Pro costs $0.43/M input and $0.87/M output via xiaomi. MiMo-V2-Pro costs $1.00/M input and $3.00/M output via xiaomi.

What are the context window sizes for MiMo-V2.5-Pro and MiMo-V2-Pro?

MiMo-V2.5-Pro supports 1.0M tokens and MiMo-V2-Pro supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between MiMo-V2.5-Pro and MiMo-V2-Pro?

Key differences include context window (1.0M vs 1.0M), input pricing ($0.43 vs $1.00/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

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