Model Comparison

GLM-4.7-Flash vs Grok 4.5Which is better in 2026?

Grok 4.5 significantly outperforms across most benchmarks. GLM-4.7-Flash is 19.7x cheaper per token.

Verdict: GLM-4.7-Flash vs Grok 4.5 — which is better?

GLM-4.7-Flash (by Zhipu AI) and Grok 4.5 (by xAI) 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 0 benchmarks, while Grok 4.5 is better at 1 benchmark (GPQA). Grok 4.5 significantly outperforms across most benchmarks.

On price, GLM-4.7-Flash is roughly 19.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Grok 4.5 also accepts a larger context window (500,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose GLM-4.7-Flash if…

  • cost matters — it's about 19.7x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose Grok 4.5 if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you process long inputs — it offers a 500,000 token context window
  • you want the most recent training data — it shipped Jul 2026

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GLM-4.7-Flash outperforms in 0 benchmarks, while Grok 4.5 is better at 1 benchmark (GPQA).

Grok 4.5 significantly outperforms across most 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 28.6x cheaper than Grok 4.5 ($2.00/1M tokens).

For output processing, GLM-4.7-Flash ($0.40/1M tokens) is 15.0x cheaper than Grok 4.5 ($6.00/1M tokens).

In conclusion, Grok 4.5 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
xAI
Grok 4.5
Input tokens$2.00
Output tokens$6.00
Best providerxAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Grok 4.5 accepts 500,000 input tokens compared to GLM-4.7-Flash's 128,000 tokens. Only GLM-4.7-Flash specifies output context (16,384 tokens).

Zhipu AI
GLM-4.7-Flash
Input128,000 tokens
Output16,384 tokens
xAI
Grok 4.5
Input500,000 tokens
Output- tokens
Tue Jul 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Grok 4.5 supports multimodal inputs, whereas GLM-4.7-Flash does not.

Grok 4.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-4.7-Flash

Text
Images
Audio
Video

Grok 4.5

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.7-Flash is licensed under MIT, while Grok 4.5 uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

GLM-4.7-Flash

MIT

Open weights

Grok 4.5

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-4.7-Flash was released on 2026-01-19, while Grok 4.5 was released on 2026-07-16.

Grok 4.5 is 6 months newer than GLM-4.7-Flash.

GLM-4.7-Flash

Jan 19, 2026

6 months ago

Grok 4.5

Jul 16, 2026

5 days ago

5mo newer

Knowledge Cutoff

When training data ends

Grok 4.5 has a documented knowledge cutoff of 2026-02-01, while GLM-4.7-Flash's cutoff date is not specified.

We can confirm Grok 4.5's training data extends to 2026-02-01, but cannot make a direct comparison without GLM-4.7-Flash's cutoff date.

GLM-4.7-Flash

—

Grok 4.5

Feb 2026

Provider Availability

GLM-4.7-Flash is available from ZAI. Grok 4.5 is available from xAI.

GLM-4.7-Flash

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

Grok 4.5

xai logo
xAI
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
* 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
Has open weights
xAI
Larger context window (500,000 tokens)
Supports multimodal inputs
Higher GPQA score (93.0% vs 75.2%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GLM-4.7-Flash and Grok 4.5 side-by-side, then vote on the output you prefer.

GLM-4.7-Flash
✓ Preferred
Grok 4.5
Open in Playground
AI Model Comparison Table
Feature
Zhipu AI
GLM-4.7-Flash
xAI
Grok 4.5

FAQ

Common questions about GLM-4.7-Flash vs Grok 4.5.

Which is better, GLM-4.7-Flash or Grok 4.5?

Grok 4.5 significantly outperforms across most benchmarks. GLM-4.7-Flash is made by Zhipu AI and Grok 4.5 is made by xAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GLM-4.7-Flash compare to Grok 4.5 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%. Grok 4.5 scores GPQA: 93.0%, Terminal-Bench 2.1: 83.3%, Artificial Analysis Coding Agent Index v1.1: 76.0%, SWE-Bench Pro: 64.7%, AA-Omniscience Index: 63.0%.

Is GLM-4.7-Flash cheaper than Grok 4.5?

GLM-4.7-Flash is 28.6x cheaper for input tokens. GLM-4.7-Flash costs $0.07/M input and $0.40/M output via z. Grok 4.5 costs $2.00/M input and $6.00/M output via xai.

What are the context window sizes for GLM-4.7-Flash and Grok 4.5?

GLM-4.7-Flash supports 128K tokens and Grok 4.5 supports 500K 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 Grok 4.5?

Key differences include context window (128K vs 500K), input pricing ($0.07 vs $2.00/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.7-Flash and Grok 4.5?

GLM-4.7-Flash is developed by Zhipu AI and Grok 4.5 is developed by xAI.

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