LongCat-2.5 vs Phi-4-multimodal-instruct
LongCat-2.5 leads the LLM Stats Score 50.0 to 2.3. Phi-4-multimodal-instruct is 8.4x cheaper per token.
Meituan · Microsoft · Updated for 2026
Which is better?
LongCat-2.5 leads the overall LLM Stats Score 50.0 to 2.3, ranking #20 overall.
In the 1 individual benchmarks reported for both models, LongCat-2.5 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Phi-4-multimodal-instruct is roughly 8.4x 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 value its reported benchmark strengths — it wins 1 of 1 exact shared results
- 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 Phi-4-multimodal-instruct
- cost matters — it's about 8.4x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
23 reported for LongCat-2.5 · 15 for Phi-4-multimodal-instruct
LongCat-2.5 outperforms in 1 benchmarks (Video-MME), while Phi-4-multimodal-instruct is better at 0 benchmarks.
LongCat-2.5 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, LongCat-2.5 ($0.30/1M tokens) is 6.0x more expensive than Phi-4-multimodal-instruct ($0.05/1M tokens).
For output processing, LongCat-2.5 ($1.20/1M tokens) is 12.0x more expensive than Phi-4-multimodal-instruct ($0.10/1M tokens).
In conclusion, LongCat-2.5 is more expensive than Phi-4-multimodal-instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
LongCat-2.5 has 1594.4B more parameters than Phi-4-multimodal-instruct, making it 28471.4% larger.
Context Window
Maximum input and output token capacity
LongCat-2.5 accepts 1,048,576 input tokens compared to Phi-4-multimodal-instruct's 128,000 tokens. LongCat-2.5 can generate longer responses up to 131,072 tokens, while Phi-4-multimodal-instruct is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both LongCat-2.5 and Phi-4-multimodal-instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
LongCat-2.5
Phi-4-multimodal-instruct
Release Timeline
When each model was launched
LongCat-2.5 was released on 2026-11-01, while Phi-4-multimodal-instruct was released on 2025-02-01.
LongCat-2.5 is 21 months newer than Phi-4-multimodal-instruct.
Nov 1, 2026
0 days ago
1.7yr newerFeb 1, 2025
1.7 years ago
Knowledge Cutoff
When training data ends
Phi-4-multimodal-instruct has a documented knowledge cutoff of 2024-06-01, while LongCat-2.5's cutoff date is not specified.
We can confirm Phi-4-multimodal-instruct's training data extends to 2024-06-01, but cannot make a direct comparison without LongCat-2.5's cutoff date.
—
Jun 2024
Provider Availability
LongCat-2.5 is available from Meituan. Phi-4-multimodal-instruct is available from DeepInfra.
LongCat-2.5
Phi-4-multimodal-instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against LongCat-2.5 and Phi-4-multimodal-instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about LongCat-2.5 vs Phi-4-multimodal-instruct.