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GPT-3.5 Turbo vs LongCat-2.5

LongCat-2.5 leads the LLM Stats Score 50.0 to -9.8. LongCat-2.5 is 1.4x cheaper per token.

OpenAI · Meituan · Updated for 2026

Which is better?

LongCat-2.5 leads the overall LLM Stats Score 50.0 to -9.8, ranking #20 overall.

On price, LongCat-2.5 is roughly 1.4x 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 GPT-3.5 Turbo

  • you want predictable pricing at $0.50/M input and $1.50/M output

Choose LongCat-2.5

  • overall performance matters — it scores 50.0 and ranks #20 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • cost matters — it's about 1.4x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Nov 2026

At a glance

The differences that matter most.

Core performance indexes
-9.8
#405
50.0
#20
-9.2
#398
48.3
#21
-4.6
#294
38.6
#27
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.50 / M
$0.30 / M
Output price
$1.50 / M
$1.20 / M
Context window
16,385
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
GPT-3.5 Turbo
LongCat-2.5
-2.4#334
37.2#37
-16.3#241
32.5#29
-14.5#193
34.8#15
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

8 reported for GPT-3.5 Turbo · 23 for LongCat-2.5

No common benchmarks found

GPT-3.5 Turbo and LongCat-2.5don'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

LongCat-2.5 costs less

For input processing, GPT-3.5 Turbo ($0.50/1M tokens) is 1.7x more expensive than LongCat-2.5 ($0.30/1M tokens).

For output processing, GPT-3.5 Turbo ($1.50/1M tokens) is 1.3x more expensive than LongCat-2.5 ($1.20/1M tokens).

In conclusion, GPT-3.5 Turbo is more expensive than LongCat-2.5.*

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

Lowest available price from all providers
Mon Nov 02 2026 • llm-stats.com
OpenAI
GPT-3.5 Turbo
Input tokens$0.50
Output tokens$1.50
Best providerAzure
Meituan
LongCat-2.5
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

LongCat-2.5 accepts 1,048,576 input tokens compared to GPT-3.5 Turbo's 16,385 tokens. LongCat-2.5 can generate longer responses up to 131,072 tokens, while GPT-3.5 Turbo is limited to 4,096 tokens.

OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
Meituan
LongCat-2.5
Input1,048,576 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 GPT-3.5 Turbo does not.

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

GPT-3.5 Turbo

Text
Images
Audio
Video

LongCat-2.5

Text
Images
Audio
Video

Release Timeline

When each model was launched

GPT-3.5 Turbo was released on 2023-03-21, while LongCat-2.5 was released on 2026-11-01.

LongCat-2.5 is 44 months newer than GPT-3.5 Turbo.

GPT-3.5 Turbo

Mar 21, 2023

3.6 years ago

LongCat-2.5

Nov 1, 2026

0 days ago

3.6yr newer

Knowledge Cutoff

When training data ends

GPT-3.5 Turbo has a documented knowledge cutoff of 2021-09-30, while LongCat-2.5's cutoff date is not specified.

We can confirm GPT-3.5 Turbo's training data extends to 2021-09-30, but cannot make a direct comparison without LongCat-2.5's cutoff date.

GPT-3.5 Turbo

Sep 2021

LongCat-2.5

—

Provider Availability

GPT-3.5 Turbo is available from Azure, OpenAI. LongCat-2.5 is available from Meituan.

GPT-3.5 Turbo

azure logo
Azure
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M
openai logo
OpenAI
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M

LongCat-2.5

meituan logo
Meituan
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

GPT-3.5 Turbo
✓ Preferred
LongCat-2.5
Open in Playground

FAQ

Common questions about GPT-3.5 Turbo vs LongCat-2.5.

Which is better, GPT-3.5 Turbo or LongCat-2.5?

LongCat-2.5 leads the LLM Stats Score 50.0 to -9.8. GPT-3.5 Turbo is made by OpenAI and LongCat-2.5 is made by Meituan. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-3.5 Turbo compare to LongCat-2.5 in benchmarks?

GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%. LongCat-2.5 scores MathVision: 96.5%, BrowseComp: 91.9%, CharXiv-R: 90.2%, Terminal-Bench 2.1: 88.4%, Video-MME: 85.2%.

Is GPT-3.5 Turbo cheaper than LongCat-2.5?

LongCat-2.5 is 1.7x cheaper for input tokens. GPT-3.5 Turbo costs $0.50/M input and $1.50/M output via azure. LongCat-2.5 costs $0.30/M input and $1.20/M output via meituan.

What are the context window sizes for GPT-3.5 Turbo and LongCat-2.5?

GPT-3.5 Turbo supports 16K tokens and LongCat-2.5 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-3.5 Turbo and LongCat-2.5?

Key differences include LLM Stats Score (-9.8 vs 50.0), context window (16K vs 1.0M), input pricing ($0.50 vs $0.30/M), multimodal support (no vs yes), licensing (Proprietary vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-3.5 Turbo and LongCat-2.5?

GPT-3.5 Turbo is developed by OpenAI and LongCat-2.5 is developed by Meituan.