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MiMo-V2-Pro vs Nemotron 3.5 Super VL (120B A12B)

MiMo-V2-Pro and Nemotron 3.5 Super VL (120B A12B) are closely matched at 35.4 and 35.0 on the LLM Stats Score. Nemotron 3.5 Super VL (120B A12B) is 3.8x cheaper per token.

Xiaomi · NVIDIA · Updated for 2026

Which is better?

MiMo-V2-Pro and Nemotron 3.5 Super VL (120B A12B) are closely matched on the overall LLM Stats Score at 35.4 and 35.0.

In the 2 individual benchmarks reported for both models, MiMo-V2-Pro wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, Nemotron 3.5 Super VL (120B A12B) is roughly 3.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

MiMo-V2-Pro also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose MiMo-V2-Pro

  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you process long inputs — it offers a 1,000,000 token context window

Choose Nemotron 3.5 Super VL (120B A12B)

  • cost matters — it's about 3.8x cheaper per token
  • you want the most recent training data — it shipped Oct 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

MiMo-V2-Pro
Xiaomi
Nemotron 3.5 Super VL (120B A12B)
NVIDIA
Core performance indexes
LLM Stats Score
35.4
#103
35.0
#108
Reasoning
37.5
#84
36.2
#94
Coding
25.3
#85
21.0
#108
Agents
16.8
#97
16.5
#99
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$1.00 / M
$0.20 / M
Output price
$3.00 / M
$1.00 / M
Context window
1,000,000
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
MiMo-V2-Pro
Nemotron 3.5 Super VL (120B A12B)
Tool use
18.4#80
11.0#133
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

7 reported for MiMo-V2-Pro · 19 for Nemotron 3.5 Super VL (120B A12B)

2 shared

MiMo-V2-Pro outperforms in 2 benchmarks (SWE-bench Multilingual, SWE-Bench Verified), while Nemotron 3.5 Super VL (120B A12B) is better at 0 benchmarks.

MiMo-V2-Pro significantly outperforms across most benchmarks.

Tue Oct 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Nemotron 3.5 Super VL (120B A12B) costs less

For input processing, MiMo-V2-Pro ($1.00/1M tokens) is 5.0x more expensive than Nemotron 3.5 Super VL (120B A12B) ($0.20/1M tokens).

For output processing, MiMo-V2-Pro ($3.00/1M tokens) is 3.0x more expensive than Nemotron 3.5 Super VL (120B A12B) ($1.00/1M tokens).

In conclusion, MiMo-V2-Pro is more expensive than Nemotron 3.5 Super VL (120B A12B).*

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

Lowest available price from all providers
Tue Oct 20 2026 • llm-stats.com
Xiaomi
MiMo-V2-Pro
Input tokens$1.00
Output tokens$3.00
Best providerXiaomi
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
Input tokens$0.20
Output tokens$1.00
Best providerDeepinfra
Notice missing or incorrect data?

Model Size

Parameter count comparison

880.0B diff

MiMo-V2-Pro has 880.0B more parameters than Nemotron 3.5 Super VL (120B A12B), making it 733.3% larger.

Xiaomi
MiMo-V2-Pro
1.0Tparameters
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
120.0Bparameters
1000.0B
MiMo-V2-Pro
120.0B
Nemotron 3.5 Super VL (120B A12B)

Context Window

Maximum input and output token capacity

MiMo-V2-Pro accepts 1,000,000 input tokens compared to Nemotron 3.5 Super VL (120B A12B)'s 262,144 tokens. Nemotron 3.5 Super VL (120B A12B) can generate longer responses up to 262,144 tokens, while MiMo-V2-Pro is limited to 16,384 tokens.

Xiaomi
MiMo-V2-Pro
Input1,000,000 tokens
Output16,384 tokens
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
Input262,144 tokens
Output262,144 tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Nemotron 3.5 Super VL (120B A12B) supports multimodal inputs, whereas MiMo-V2-Pro does not.

Nemotron 3.5 Super VL (120B A12B) can handle both text and other forms of data like images, making it suitable for multimodal applications.

MiMo-V2-Pro

Text
Images
Audio
Video

Nemotron 3.5 Super VL (120B A12B)

Text
Images
Audio
Video

License

Usage and distribution terms

MiMo-V2-Pro is licensed under a proprietary license, while Nemotron 3.5 Super VL (120B A12B) uses OpenMDW License v1.1.

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

MiMo-V2-Pro

Proprietary

Closed source

Nemotron 3.5 Super VL (120B A12B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

MiMo-V2-Pro was released on 2026-03-18, while Nemotron 3.5 Super VL (120B A12B) was released on 2026-10-15.

Nemotron 3.5 Super VL (120B A12B) is 7 months newer than MiMo-V2-Pro.

MiMo-V2-Pro

Mar 18, 2026

7 months ago

Nemotron 3.5 Super VL (120B A12B)

Oct 15, 2026

4 days ago

7mo 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

MiMo-V2-Pro is available from Xiaomi. Nemotron 3.5 Super VL (120B A12B) is available from DeepInfra.

MiMo-V2-Pro

xiaomi logo
Xiaomi
Input Price:Input: $1.00/1MOutput Price:Output: $3.00/1M

Nemotron 3.5 Super VL (120B A12B)

deepinfra logo
Deepinfra
Input Price:Input: $0.20/1MOutput Price:Output: $1.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against MiMo-V2-Pro and Nemotron 3.5 Super VL (120B A12B) side-by-side, then vote on the output you prefer.

MiMo-V2-Pro
✓ Preferred
Nemotron 3.5 Super VL (120B A12B)
Open in Playground

FAQ

Common questions about MiMo-V2-Pro vs Nemotron 3.5 Super VL (120B A12B).

Which is better, MiMo-V2-Pro or Nemotron 3.5 Super VL (120B A12B)?

MiMo-V2-Pro and Nemotron 3.5 Super VL (120B A12B) are closely matched on the LLM Stats Score at 35.4 and 35.0. MiMo-V2-Pro is made by Xiaomi and Nemotron 3.5 Super VL (120B A12B) is made by NVIDIA. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does MiMo-V2-Pro compare to Nemotron 3.5 Super VL (120B A12B) in benchmarks?

MiMo-V2-Pro scores Tau2 Telecom: 96.8%, DeepSearchQA: 86.7%, PinchBench: 81.0%, SWE-Bench Verified: 78.0%, SWE-bench Multilingual: 71.7%. Nemotron 3.5 Super VL (120B A12B) scores GPQA: 89.5%, LiveCodeBench v6: 88.2%, CharXiv-R: 80.8%, MathVision: 78.2%, BrowseComp: 78.0%.

Is MiMo-V2-Pro cheaper than Nemotron 3.5 Super VL (120B A12B)?

Nemotron 3.5 Super VL (120B A12B) is 5.0x cheaper for input tokens. MiMo-V2-Pro costs $1.00/M input and $3.00/M output via xiaomi. Nemotron 3.5 Super VL (120B A12B) costs $0.20/M input and $1.00/M output via deepinfra.

What are the context window sizes for MiMo-V2-Pro and Nemotron 3.5 Super VL (120B A12B)?

MiMo-V2-Pro supports 1.0M tokens and Nemotron 3.5 Super VL (120B A12B) supports 262K 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-Pro and Nemotron 3.5 Super VL (120B A12B)?

Key differences include LLM Stats Score (35.4 vs 35.0), context window (1.0M vs 262K), input pricing ($1.00 vs $0.20/M), multimodal support (no vs yes), licensing (Proprietary vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes MiMo-V2-Pro and Nemotron 3.5 Super VL (120B A12B)?

MiMo-V2-Pro is developed by Xiaomi and Nemotron 3.5 Super VL (120B A12B) is developed by NVIDIA.

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