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LongCat-2.5 vs Phi-3.5-vision-instruct

LongCat-2.5 leads the LLM Stats Score 50.0 to -3.7.

Meituan · Microsoft · Updated for 2026

Which is better?

LongCat-2.5 leads the overall LLM Stats Score 50.0 to -3.7, ranking #20 overall.

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 want the most recent training data — it shipped Nov 2026

Choose Phi-3.5-vision-instruct

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

LongCat-2.5
Meituan
Phi-3.5-vision-instruct
Microsoft
Core performance indexes
LLM Stats Score
50.0
#20
-3.7
#385
Reasoning
48.3
#21
-5.3
#385
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.30 / M
— / M
Output price
$1.20 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
LongCat-2.5
Phi-3.5-vision-instruct
Vision
32.5#29
-3.6#225
Multimodal
34.8#15
-1.3#181
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

23 reported for LongCat-2.5 · 9 for Phi-3.5-vision-instruct

No common benchmarks found

LongCat-2.5 and Phi-3.5-vision-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

Model Size

Parameter count comparison

1595.8B diff

LongCat-2.5 has 1595.8B more parameters than Phi-3.5-vision-instruct, making it 37995.2% larger.

Meituan
LongCat-2.5
1.6Tparameters
Microsoft
Phi-3.5-vision-instruct
4.2Bparameters
1600.0B
LongCat-2.5
4.2B
Phi-3.5-vision-instruct

Context Window

Maximum input and output token capacity

Only LongCat-2.5 specifies input context (1,048,576 tokens). Only LongCat-2.5 specifies output context (131,072 tokens).

Meituan
LongCat-2.5
Input1,048,576 tokens
Output131,072 tokens
Microsoft
Phi-3.5-vision-instruct
Input- tokens
Output- tokens
Mon Nov 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both LongCat-2.5 and Phi-3.5-vision-instruct support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

LongCat-2.5

Text
Images
Audio
Video

Phi-3.5-vision-instruct

Text
Images
Audio
Video

Release Timeline

When each model was launched

LongCat-2.5 was released on 2026-11-01, while Phi-3.5-vision-instruct was released on 2024-08-23.

LongCat-2.5 is 27 months newer than Phi-3.5-vision-instruct.

LongCat-2.5

Nov 1, 2026

1 days ago

2.2yr newer
Phi-3.5-vision-instruct

Aug 23, 2024

2.2 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

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against LongCat-2.5 and Phi-3.5-vision-instruct side-by-side, then vote on the output you prefer.

LongCat-2.5
✓ Preferred
Phi-3.5-vision-instruct
Open in Playground

FAQ

Common questions about LongCat-2.5 vs Phi-3.5-vision-instruct.

Which is better, LongCat-2.5 or Phi-3.5-vision-instruct?

LongCat-2.5 leads the LLM Stats Score 50.0 to -3.7. LongCat-2.5 is made by Meituan and Phi-3.5-vision-instruct is made by Microsoft. 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 Phi-3.5-vision-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%. Phi-3.5-vision-instruct scores ScienceQA: 91.3%, POPE: 86.1%, MMBench: 81.9%, ChartQA: 81.8%, AI2D: 78.1%.

What are the context window sizes for LongCat-2.5 and Phi-3.5-vision-instruct?

LongCat-2.5 supports 1.0M tokens and Phi-3.5-vision-instruct supports an unknown number of 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 Phi-3.5-vision-instruct?

Key differences include LLM Stats Score (50.0 vs -3.7), licensing (Unknown vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes LongCat-2.5 and Phi-3.5-vision-instruct?

LongCat-2.5 is developed by Meituan and Phi-3.5-vision-instruct is developed by Microsoft.

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