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GLM-5 vs Grok 4.7

Grok 4.7 leads the LLM Stats Score 48.5 to 37.1. GLM-5 is 1.9x cheaper per token.

Zhipu AI · xAI · Updated for 2026

Which is better?

Grok 4.7 leads the overall LLM Stats Score 48.5 to 37.1, ranking #23 overall.

On price, GLM-5 is roughly 1.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Grok 4.7 also accepts a larger context window (500,000 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 GLM-5

  • cost matters — it's about 1.9x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose Grok 4.7

  • overall performance matters — it scores 48.5 and ranks #23 on LLM Stats
  • your work emphasizes coding and agents — it leads those capability indexes
  • you process long inputs — it offers a 500,000 token context window
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

GLM-5
Zhipu AI
Grok 4.7
xAI
Core performance indexes
LLM Stats Score
37.1
#73
48.5
#23
Reasoning
37.4
#70
37.4
#69
Coding
26.2
#68
40.1
#13
Agents
19.6
#66
36.1
#19
Cost, coverage & limits
Benchmark wins
—
—
Input price
$1.00 / M
$2.00 / M
Output price
$3.20 / M
$6.00 / M
Context window
200,000
500,000

Individual benchmarks

5 reported for GLM-5 · 23 for Grok 4.7

No common benchmarks found

GLM-5 and Grok 4.7don'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

GLM-5 costs less

For input processing, GLM-5 ($1.00/1M tokens) is 2.0x cheaper than Grok 4.7 ($2.00/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 1.9x cheaper than Grok 4.7 ($6.00/1M tokens).

In conclusion, Grok 4.7 is more expensive than GLM-5.*

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

Lowest available price from all providers
Tue Sep 22 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerFriendliAI
xAI
Grok 4.7
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 4.7 accepts 500,000 input tokens compared to GLM-5's 200,000 tokens. Only GLM-5 specifies output context (128,000 tokens).

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
xAI
Grok 4.7
Input500,000 tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Grok 4.7 supports multimodal inputs, whereas GLM-5 does not.

Grok 4.7 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5

Text
Images
Audio
Video

Grok 4.7

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Grok 4.7 uses a proprietary license.

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

GLM-5

MIT

Open weights

Grok 4.7

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Grok 4.7 was released on 2026-09-21.

Grok 4.7 is 7 months newer than GLM-5.

GLM-5

Feb 11, 2026

7 months ago

Grok 4.7

Sep 21, 2026

1 days ago

7mo newer

Knowledge Cutoff

When training data ends

Grok 4.7 has a documented knowledge cutoff of 2026-06-01, while GLM-5's cutoff date is not specified.

We can confirm Grok 4.7's training data extends to 2026-06-01, but cannot make a direct comparison without GLM-5's cutoff date.

GLM-5

—

Grok 4.7

Jun 2026

Provider Availability

GLM-5 is available from FriendliAI, ZAI. Grok 4.7 is available from xAI.

GLM-5

friendli logo
FriendliAI
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M
z logo
Unknown Organization
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M

Grok 4.7

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→

Judge for yourself.

Run your own prompts against GLM-5 and Grok 4.7 side-by-side, then vote on the output you prefer.

GLM-5
✓ Preferred
Grok 4.7
Open in Playground

FAQ

Common questions about GLM-5 vs Grok 4.7.

Which is better, GLM-5 or Grok 4.7?

Grok 4.7 leads the LLM Stats Score 48.5 to 37.1. GLM-5 is made by Zhipu AI and Grok 4.7 is made by xAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GLM-5 compare to Grok 4.7 in benchmarks?

GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. Grok 4.7 scores BixBench MCQ: 88.4%, WMDP-Bio: 88.1%, WMDP-Cyber: 88.1%, WMDP-Chem: 84.9%, CyberGym: 80.3%.

Is GLM-5 cheaper than Grok 4.7?

GLM-5 is 2.0x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. Grok 4.7 costs $2.00/M input and $6.00/M output via xai.

What are the context window sizes for GLM-5 and Grok 4.7?

GLM-5 supports 200K tokens and Grok 4.7 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-5 and Grok 4.7?

Key differences include LLM Stats Score (37.1 vs 48.5), context window (200K vs 500K), input pricing ($1.00 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-5 and Grok 4.7?

GLM-5 is developed by Zhipu AI and Grok 4.7 is developed by xAI.

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