Model Comparison

GLM-4.7-Flash vs LongCat-Flash-ThinkingWhich is better in 2026?

LongCat-Flash-Thinking shows notably better performance in the majority of benchmarks. GLM-4.7-Flash is 3.4x cheaper per token.

Verdict: GLM-4.7-Flash vs LongCat-Flash-Thinking — which is better?

GLM-4.7-Flash (by Zhipu AI) and LongCat-Flash-Thinking (by Meituan) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

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.

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.

Choose GLM-4.7-Flash if…

  • 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 if…

  • you want the strongest raw capability — it leads on 2 of 3 shared benchmarks

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

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.

Tue Jul 21 2026 • llm-stats.com

Arena Performance

Human preference votes

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
Tue Jul 21 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
Tue Jul 21 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

6 months ago

3mo newer
LongCat-Flash-Thinking

Sep 22, 2025

10 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→

Key Takeaways

Zhipu AI
Less expensive input tokens
Less expensive output tokens
Higher AIME 2025 score (91.6% vs 90.6%)
Meituan
Higher GPQA score (81.5% vs 75.2%)
Higher SWE-Bench Verified score (59.4% vs 59.2%)

Detailed Comparison

Interactive Arena

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
AI Model Comparison Table
Feature
Zhipu AI
GLM-4.7-Flash
Meituan
LongCat-Flash-Thinking

FAQ

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

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

LongCat-Flash-Thinking shows notably better performance in the majority of benchmarks. 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 benchmark scores, pricing, and capabilities 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 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.

Related comparisons