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GPT-6.1 Sol vs LongCat-2.5

GPT-6.1 Sol and LongCat-2.5 are closely matched at 53.4 and 50.0 on the LLM Stats Score. LongCat-2.5 is 7.6x cheaper per token.

OpenAI · Meituan · Updated for 2026

Which is better?

GPT-6.1 Sol and LongCat-2.5 are closely matched on the overall LLM Stats Score at 53.4 and 50.0.

The models split the 2 individual benchmarks reported for both models evenly.

On price, LongCat-2.5 is roughly 7.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-6.1 Sol also accepts a larger context window (1,050,000 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-6.1 Sol

  • you process long inputs — it offers a 1,050,000 token context window

Choose LongCat-2.5

  • cost matters — it's about 7.6x cheaper per token
  • you want the most recent training data — it shipped Nov 2026

At a glance

The differences that matter most.

GPT-6.1 Sol
OpenAI
LongCat-2.5
Meituan
Core performance indexes
LLM Stats Score
53.4
#9
50.0
#20
Reasoning
50.7
#10
48.3
#21
Coding
39.6
#19
38.6
#27
Agents
38.1
#17
36.3
#23
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
$2.00 / M
$0.30 / M
Output price
$10.00 / M
$1.20 / M
Context window
1,050,000
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
GPT-6.1 Sol
LongCat-2.5
Math
34.8#50
37.2#37
Vision
36.1#11
32.5#29
Tool use
23.4#51
30.2#15
Multimodal
35.5#13
34.8#15
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for GPT-6.1 Sol · 23 for LongCat-2.5

2 shared

GPT-6.1 Sol outperforms in 1 benchmarks (DeepSWE 1.1), while LongCat-2.5 is better at 1 benchmark (AutomationBench v1.0.6).

Both models are evenly matched across the benchmarks.

Fri Nov 06 2026 • llm-stats.com

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-6.1 Sol ($2.00/1M tokens) is 6.7x more expensive than LongCat-2.5 ($0.30/1M tokens).

For output processing, GPT-6.1 Sol ($10.00/1M tokens) is 8.3x more expensive than LongCat-2.5 ($1.20/1M tokens).

In conclusion, GPT-6.1 Sol is more expensive than LongCat-2.5.*

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

Lowest available price from all providers
Fri Nov 06 2026 • llm-stats.com
OpenAI
GPT-6.1 Sol
Input tokens$2.00
Output tokens$10.00
Best providerOpenAI
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

GPT-6.1 Sol accepts 1,050,000 input tokens compared to LongCat-2.5's 1,048,576 tokens. LongCat-2.5 can generate longer responses up to 131,072 tokens, while GPT-6.1 Sol is limited to 128,000 tokens.

OpenAI
GPT-6.1 Sol
Input1,050,000 tokens
Output128,000 tokens
Meituan
LongCat-2.5
Input1,048,576 tokens
Output131,072 tokens
Fri Nov 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-6.1 Sol and LongCat-2.5 support multimodal inputs.

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

GPT-6.1 Sol

Text
Images
Audio
Video

LongCat-2.5

Text
Images
Audio
Video

Release Timeline

When each model was launched

GPT-6.1 Sol was released on 2026-09-29, while LongCat-2.5 was released on 2026-11-01.

LongCat-2.5 is 1 month newer than GPT-6.1 Sol.

GPT-6.1 Sol

Sep 29, 2026

1 months ago

LongCat-2.5

Nov 1, 2026

4 days ago

1mo newer

Knowledge Cutoff

When training data ends

GPT-6.1 Sol has a documented knowledge cutoff of 2026-04-30, while LongCat-2.5's cutoff date is not specified.

We can confirm GPT-6.1 Sol's training data extends to 2026-04-30, but cannot make a direct comparison without LongCat-2.5's cutoff date.

GPT-6.1 Sol

Apr 2026

LongCat-2.5

—

Provider Availability

GPT-6.1 Sol is available from OpenAI. LongCat-2.5 is available from Meituan.

GPT-6.1 Sol

openai logo
OpenAI
Input Price:Input: $2.00/1MOutput Price:Output: $10.00/1M

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-6.1 Sol and LongCat-2.5 side-by-side, then vote on the output you prefer.

GPT-6.1 Sol
✓ Preferred
LongCat-2.5
Open in Playground

FAQ

Common questions about GPT-6.1 Sol vs LongCat-2.5.

Which is better, GPT-6.1 Sol or LongCat-2.5?

GPT-6.1 Sol and LongCat-2.5 are closely matched on the LLM Stats Score at 53.4 and 50.0. GPT-6.1 Sol 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-6.1 Sol compare to LongCat-2.5 in benchmarks?

GPT-6.1 Sol scores FrontierMath Tier 4 (v2): 100.0%, HealthBench Consensus: 96.0%, MMMU-Pro: 86.0%, DeepSWE 1.1: 75.2%, SimpleQA Verified: 73.9%. 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-6.1 Sol cheaper than LongCat-2.5?

LongCat-2.5 is 6.7x cheaper for input tokens. GPT-6.1 Sol costs $2.00/M input and $10.00/M output via openai. LongCat-2.5 costs $0.30/M input and $1.20/M output via meituan.

What are the context window sizes for GPT-6.1 Sol and LongCat-2.5?

GPT-6.1 Sol supports 1.1M 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-6.1 Sol and LongCat-2.5?

Key differences include LLM Stats Score (53.4 vs 50.0), context window (1.1M vs 1.0M), input pricing ($2.00 vs $0.30/M), licensing (Proprietary vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6.1 Sol and LongCat-2.5?

GPT-6.1 Sol is developed by OpenAI and LongCat-2.5 is developed by Meituan.

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