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GLM-4.7-Flash vs LongCat-Flash-Thinking

GLM-4.7-Flash and LongCat-Flash-Thinking are closely matched at 23.8 and 28.8 on the LLM Stats Score. GLM-4.7-Flash is 3.4x cheaper per token.

Zhipu AI · Meituan · Updated for 2026

Which is better?

GLM-4.7-Flash and LongCat-Flash-Thinking are closely matched on the overall LLM Stats Score at 23.8 and 28.8.

In the 3 individual benchmarks reported for both models, LongCat-Flash-Thinking wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, GLM-4.7-Flash is roughly 3.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GLM-4.7-Flash

  • cost matters — it's about 3.4x cheaper per token
  • you want the most recent training data — it shipped Jan 2026

Choose LongCat-Flash-Thinking

  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results

At a glance

The differences that matter most.

GLM-4.7-Flash
Zhipu AI
LongCat-Flash-Thinking
Meituan
Core performance indexes
LLM Stats Score
23.8
#163
28.8
#124
Reasoning
23.8
#153
28.9
#116
Coding
4.6
#199
14.3
#127
Agents
4.9
#141
12.9
#91
Cost, coverage & limits
Benchmark wins
1 of 3
2 of 3
Input price
$0.07 / M
$0.30 / M
Output price
$0.40 / M
$1.20 / M
Context window
128,000
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GLM-4.7-Flash
LongCat-Flash-Thinking
Math
21.2#142
28.3#89
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for GLM-4.7-Flash · 14 for LongCat-Flash-Thinking

3 shared

GLM-4.7-Flash outperforms in 1 benchmarks (AIME 2025), while LongCat-Flash-Thinking is better at 2 benchmarks (GPQA, SWE-Bench Verified).

LongCat-Flash-Thinking shows notably better performance in the majority of benchmarks.

Fri Sep 04 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

GLM-4.7-Flash costs less

For input processing, GLM-4.7-Flash ($0.07/1M tokens) is 4.3x cheaper than LongCat-Flash-Thinking ($0.30/1M tokens).

For output processing, GLM-4.7-Flash ($0.40/1M tokens) is 3.0x cheaper than LongCat-Flash-Thinking ($1.20/1M tokens).

In conclusion, LongCat-Flash-Thinking is more expensive than GLM-4.7-Flash.*

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

Lowest available price from all providers
Fri Sep 04 2026 • llm-stats.com
Zhipu AI
GLM-4.7-Flash
Input tokens$0.07
Output tokens$0.40
Best providerUnknown Organization
Meituan
LongCat-Flash-Thinking
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

530.0B diff

LongCat-Flash-Thinking has 530.0B more parameters than GLM-4.7-Flash, making it 1766.7% larger.

Zhipu AI
GLM-4.7-Flash
30.0Bparameters
Meituan
LongCat-Flash-Thinking
560.0Bparameters
30.0B
GLM-4.7-Flash
560.0B
LongCat-Flash-Thinking

Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. LongCat-Flash-Thinking can generate longer responses up to 128,000 tokens, while GLM-4.7-Flash is limited to 16,384 tokens.

Zhipu AI
GLM-4.7-Flash
Input128,000 tokens
Output16,384 tokens
Meituan
LongCat-Flash-Thinking
Input128,000 tokens
Output128,000 tokens
Fri Sep 04 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

GLM-4.7-Flash

MIT

Open weights

LongCat-Flash-Thinking

MIT

Open weights

Release Timeline

When each model was launched

GLM-4.7-Flash was released on 2026-01-19, while LongCat-Flash-Thinking was released on 2025-09-22.

GLM-4.7-Flash is 4 months newer than LongCat-Flash-Thinking.

GLM-4.7-Flash

Jan 19, 2026

7 months ago

3mo newer
LongCat-Flash-Thinking

Sep 22, 2025

11 months 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

GLM-4.7-Flash is available from ZAI. LongCat-Flash-Thinking is available from Meituan.

GLM-4.7-Flash

z logo
Unknown Organization
Input Price:Input: $0.07/1MOutput Price:Output: $0.40/1M

LongCat-Flash-Thinking

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?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GLM-4.7-Flash and LongCat-Flash-Thinking side-by-side, then vote on the output you prefer.

GLM-4.7-Flash
✓ Preferred
LongCat-Flash-Thinking
Open in Playground

FAQ

Common questions about GLM-4.7-Flash vs LongCat-Flash-Thinking.

Which is better, GLM-4.7-Flash or LongCat-Flash-Thinking?

GLM-4.7-Flash and LongCat-Flash-Thinking are closely matched on the LLM Stats Score at 23.8 and 28.8. GLM-4.7-Flash is made by Zhipu AI and LongCat-Flash-Thinking is made by Meituan. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GLM-4.7-Flash compare to LongCat-Flash-Thinking in benchmarks?

GLM-4.7-Flash scores AIME 2025: 91.6%, Tau-bench: 79.5%, GPQA: 75.2%, SWE-Bench Verified: 59.2%, BrowseComp: 42.8%. LongCat-Flash-Thinking scores MATH-500: 99.2%, ZebraLogic: 95.5%, AIME 2024: 93.3%, AIME 2025: 90.6%, MMLU-Redux: 89.3%.

Is GLM-4.7-Flash cheaper than LongCat-Flash-Thinking?

GLM-4.7-Flash is 4.3x cheaper for input tokens. GLM-4.7-Flash costs $0.07/M input and $0.40/M output via z. LongCat-Flash-Thinking costs $0.30/M input and $1.20/M output via meituan.

What are the context window sizes for GLM-4.7-Flash and LongCat-Flash-Thinking?

GLM-4.7-Flash supports 128K tokens and LongCat-Flash-Thinking supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-4.7-Flash and LongCat-Flash-Thinking?

Key differences include LLM Stats Score (23.8 vs 28.8), input pricing ($0.07 vs $0.30/M). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.7-Flash and LongCat-Flash-Thinking?

GLM-4.7-Flash is developed by Zhipu AI and LongCat-Flash-Thinking is developed by Meituan.

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