The AI arena is free today

Open Superagent

LongCat-2.5 vs Mistral NeMo Instruct

LongCat-2.5 leads the LLM Stats Score 50.0 to -5.2. Mistral NeMo Instruct is 24.1x cheaper per token.

Meituan · Mistral AI · Updated for 2026

Which is better?

LongCat-2.5 leads the overall LLM Stats Score 50.0 to -5.2, ranking #20 overall.

On price, Mistral NeMo Instruct is roughly 24.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

LongCat-2.5 also accepts a larger context window (1,048,576 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-2.5

  • overall performance matters — it scores 50.0 and ranks #20 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Nov 2026

Choose Mistral NeMo Instruct

  • cost matters — it's about 24.1x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

LongCat-2.5
Meituan
Mistral NeMo Instruct
Mistral AI
Core performance indexes
LLM Stats Score
50.0
#20
-5.2
#392
Reasoning
48.3
#21
-5.5
#386
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.30 / M
$0.02 / M
Output price
$1.20 / M
$0.03 / M
Context window
1,048,576
131,072

Individual benchmarks

23 reported for LongCat-2.5 · 8 for Mistral NeMo Instruct

No common benchmarks found

LongCat-2.5 and Mistral NeMo Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Mistral NeMo Instruct costs less

For input processing, LongCat-2.5 ($0.30/1M tokens) is 15.8x more expensive than Mistral NeMo Instruct ($0.02/1M tokens).

For output processing, LongCat-2.5 ($1.20/1M tokens) is 40.0x more expensive than Mistral NeMo Instruct ($0.03/1M tokens).

In conclusion, LongCat-2.5 is more expensive than Mistral NeMo Instruct.*

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

Lowest available price from all providers
Mon Nov 02 2026 • llm-stats.com
Meituan
LongCat-2.5
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Mistral AI
Mistral NeMo Instruct
Input tokens$0.02
Output tokens$0.03
Best providerDeepinfra
Notice missing or incorrect data?

Model Size

Parameter count comparison

1588.0B diff

LongCat-2.5 has 1588.0B more parameters than Mistral NeMo Instruct, making it 13233.3% larger.

Meituan
LongCat-2.5
1.6Tparameters
Mistral AI
Mistral NeMo Instruct
12.0Bparameters
1600.0B
LongCat-2.5
12.0B
Mistral NeMo Instruct

Context Window

Maximum input and output token capacity

LongCat-2.5 accepts 1,048,576 input tokens compared to Mistral NeMo Instruct's 131,072 tokens. Both models can generate responses up to 131,072 tokens.

Meituan
LongCat-2.5
Input1,048,576 tokens
Output131,072 tokens
Mistral AI
Mistral NeMo Instruct
Input131,072 tokens
Output131,072 tokens
Mon Nov 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

LongCat-2.5 supports multimodal inputs, whereas Mistral NeMo Instruct does not.

LongCat-2.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

LongCat-2.5

Text
Images
Audio
Video

Mistral NeMo Instruct

Text
Images
Audio
Video

Release Timeline

When each model was launched

LongCat-2.5 was released on 2026-11-01, while Mistral NeMo Instruct was released on 2024-07-18.

LongCat-2.5 is 28 months newer than Mistral NeMo Instruct.

LongCat-2.5

Nov 1, 2026

-1 days ago

2.3yr newer
Mistral NeMo Instruct

Jul 18, 2024

2.3 years 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

LongCat-2.5 is available from Meituan. Mistral NeMo Instruct is available from DeepInfra, Google, Mistral AI.

LongCat-2.5

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

Mistral NeMo Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.02/1MOutput Price:Output: $0.03/1M
google logo
Google
Input Price:Input: $0.15/1MOutput Price:Output: $0.15/1M
mistral logo
Mistral
Input Price:Input: $0.15/1MOutput Price:Output: $0.15/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against LongCat-2.5 and Mistral NeMo Instruct side-by-side, then vote on the output you prefer.

LongCat-2.5
✓ Preferred
Mistral NeMo Instruct
Open in Playground

FAQ

Common questions about LongCat-2.5 vs Mistral NeMo Instruct.

Which is better, LongCat-2.5 or Mistral NeMo Instruct?

LongCat-2.5 leads the LLM Stats Score 50.0 to -5.2. LongCat-2.5 is made by Meituan and Mistral NeMo Instruct is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does LongCat-2.5 compare to Mistral NeMo Instruct in benchmarks?

LongCat-2.5 scores MathVision: 96.5%, BrowseComp: 91.9%, CharXiv-R: 90.2%, Terminal-Bench 2.1: 88.4%, Video-MME: 85.2%. Mistral NeMo Instruct scores HellaSwag: 83.5%, Winogrande: 76.8%, TriviaQA: 73.8%, CommonSenseQA: 70.4%, MMLU: 68.0%.

Is LongCat-2.5 cheaper than Mistral NeMo Instruct?

Mistral NeMo Instruct is 15.8x cheaper for input tokens. LongCat-2.5 costs $0.30/M input and $1.20/M output via meituan. Mistral NeMo Instruct costs $0.02/M input and $0.03/M output via deepinfra.

What are the context window sizes for LongCat-2.5 and Mistral NeMo Instruct?

LongCat-2.5 supports 1.0M tokens and Mistral NeMo Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between LongCat-2.5 and Mistral NeMo Instruct?

Key differences include LLM Stats Score (50.0 vs -5.2), context window (1.0M vs 131K), input pricing ($0.30 vs $0.02/M), multimodal support (yes vs no), licensing (Unknown vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes LongCat-2.5 and Mistral NeMo Instruct?

LongCat-2.5 is developed by Meituan and Mistral NeMo Instruct is developed by Mistral AI.

Related comparisons