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LongCat-Flash-Thinking-2601 vs Nemotron 3.5 Super VL (120B A12B)

LongCat-Flash-Thinking-2601 and Nemotron 3.5 Super VL (120B A12B) are closely matched at 35.2 and 35.0 on the LLM Stats Score. Nemotron 3.5 Super VL (120B A12B) is 1.3x cheaper per token.

Meituan · NVIDIA · Updated for 2026

Which is better?

LongCat-Flash-Thinking-2601 and Nemotron 3.5 Super VL (120B A12B) are closely matched on the overall LLM Stats Score at 35.2 and 35.0.

In the 4 individual benchmarks reported for both models, Nemotron 3.5 Super VL (120B A12B) wins 4; this is a narrower head-to-head signal than the composite indexes.

On price, Nemotron 3.5 Super VL (120B A12B) is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Nemotron 3.5 Super VL (120B A12B) also accepts a larger context window (262,144 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 LongCat-Flash-Thinking-2601

  • you want predictable pricing at $0.30/M input and $1.20/M output

Choose Nemotron 3.5 Super VL (120B A12B)

  • you value its reported benchmark strengths — it wins 4 of 4 exact shared results
  • cost matters — it's about 1.3x cheaper per token
  • you process long inputs — it offers a 262,144 token context window
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

LongCat-Flash-Thinking-2601
Meituan
Nemotron 3.5 Super VL (120B A12B)
NVIDIA
Core performance indexes
LLM Stats Score
35.2
#105
35.0
#108
Reasoning
35.3
#99
36.2
#94
Coding
18.7
#127
21.0
#108
Agents
9.4
#144
16.5
#99
Cost, coverage & limits
Benchmark wins
0 of 4
4 of 4
Input price
$0.30 / M
$0.20 / M
Output price
$1.20 / M
$1.00 / M
Context window
128,000
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
LongCat-Flash-Thinking-2601
Nemotron 3.5 Super VL (120B A12B)
Math
30.3#81
28.1#101
Tool use
24.3#41
11.0#133
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for LongCat-Flash-Thinking-2601 · 19 for Nemotron 3.5 Super VL (120B A12B)

4 shared

LongCat-Flash-Thinking-2601 outperforms in 0 benchmarks, while Nemotron 3.5 Super VL (120B A12B) is better at 4 benchmarks (BrowseComp, GPQA, Humanity's Last Exam, SWE-Bench Verified).

Nemotron 3.5 Super VL (120B A12B) significantly outperforms across most benchmarks.

Mon Oct 19 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, LongCat-Flash-Thinking-2601 ($0.30/1M tokens) is 1.5x more expensive than Nemotron 3.5 Super VL (120B A12B) ($0.20/1M tokens).

For output processing, LongCat-Flash-Thinking-2601 ($1.20/1M tokens) is 1.2x more expensive than Nemotron 3.5 Super VL (120B A12B) ($1.00/1M tokens).

In conclusion, LongCat-Flash-Thinking-2601 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
Mon Oct 19 2026 • llm-stats.com
Meituan
LongCat-Flash-Thinking-2601
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
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

440.0B diff

LongCat-Flash-Thinking-2601 has 440.0B more parameters than Nemotron 3.5 Super VL (120B A12B), making it 366.7% larger.

Meituan
LongCat-Flash-Thinking-2601
560.0Bparameters
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
120.0Bparameters
560.0B
LongCat-Flash-Thinking-2601
120.0B
Nemotron 3.5 Super VL (120B A12B)

Context Window

Maximum input and output token capacity

Nemotron 3.5 Super VL (120B A12B) accepts 262,144 input tokens compared to LongCat-Flash-Thinking-2601's 128,000 tokens. Nemotron 3.5 Super VL (120B A12B) can generate longer responses up to 262,144 tokens, while LongCat-Flash-Thinking-2601 is limited to 128,000 tokens.

Meituan
LongCat-Flash-Thinking-2601
Input128,000 tokens
Output128,000 tokens
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
Input262,144 tokens
Output262,144 tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Nemotron 3.5 Super VL (120B A12B) supports multimodal inputs, whereas LongCat-Flash-Thinking-2601 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.

LongCat-Flash-Thinking-2601

Text
Images
Audio
Video

Nemotron 3.5 Super VL (120B A12B)

Text
Images
Audio
Video

License

Usage and distribution terms

LongCat-Flash-Thinking-2601 is licensed under MIT, 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.

LongCat-Flash-Thinking-2601

MIT

Open weights

Nemotron 3.5 Super VL (120B A12B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

LongCat-Flash-Thinking-2601 was released on 2026-01-14, while Nemotron 3.5 Super VL (120B A12B) was released on 2026-10-15.

Nemotron 3.5 Super VL (120B A12B) is 9 months newer than LongCat-Flash-Thinking-2601.

LongCat-Flash-Thinking-2601

Jan 14, 2026

9 months ago

Nemotron 3.5 Super VL (120B A12B)

Oct 15, 2026

2 days ago

9mo 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

LongCat-Flash-Thinking-2601 is available from Meituan. Nemotron 3.5 Super VL (120B A12B) is available from DeepInfra.

LongCat-Flash-Thinking-2601

meituan logo
Meituan
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

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 LongCat-Flash-Thinking-2601 and Nemotron 3.5 Super VL (120B A12B) side-by-side, then vote on the output you prefer.

LongCat-Flash-Thinking-2601
✓ Preferred
Nemotron 3.5 Super VL (120B A12B)
Open in Playground

FAQ

Common questions about LongCat-Flash-Thinking-2601 vs Nemotron 3.5 Super VL (120B A12B).

Which is better, LongCat-Flash-Thinking-2601 or Nemotron 3.5 Super VL (120B A12B)?

LongCat-Flash-Thinking-2601 and Nemotron 3.5 Super VL (120B A12B) are closely matched on the LLM Stats Score at 35.2 and 35.0. LongCat-Flash-Thinking-2601 is made by Meituan 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 LongCat-Flash-Thinking-2601 compare to Nemotron 3.5 Super VL (120B A12B) in benchmarks?

LongCat-Flash-Thinking-2601 scores AIME 2025: 99.6%, Tau2 Telecom: 99.3%, Tau2 Retail: 88.6%, LiveCodeBench: 82.8%, GPQA: 80.5%. 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 LongCat-Flash-Thinking-2601 cheaper than Nemotron 3.5 Super VL (120B A12B)?

Nemotron 3.5 Super VL (120B A12B) is 1.5x cheaper for input tokens. LongCat-Flash-Thinking-2601 costs $0.30/M input and $1.20/M output via meituan. 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 LongCat-Flash-Thinking-2601 and Nemotron 3.5 Super VL (120B A12B)?

LongCat-Flash-Thinking-2601 supports 128K 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 LongCat-Flash-Thinking-2601 and Nemotron 3.5 Super VL (120B A12B)?

Key differences include LLM Stats Score (35.2 vs 35.0), context window (128K vs 262K), input pricing ($0.30 vs $0.20/M), multimodal support (no vs yes), licensing (MIT vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes LongCat-Flash-Thinking-2601 and Nemotron 3.5 Super VL (120B A12B)?

LongCat-Flash-Thinking-2601 is developed by Meituan and Nemotron 3.5 Super VL (120B A12B) is developed by NVIDIA.

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