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- Grok 4.7 vs. GLM-5.3-Flash
xAIZ.aiLLM matchup
Grok 4.7vs.GLM-5.3-Flash
Which one is better?
Grok 4.7 performs better than GLM-5.3-Flash, but costs 13.3 times (input) and 12 times (output) as much.
Grok 4.7
Rank 21
GLM-5.3-Flash
Rank 37
Grok 4.7
GLM-5.3-Flash
Grok 4.7
GLM-5.3-Flash
Grok 4.7
Rank 37 of 876
GLM-5.3-Flash
Rank 200 of 876
Above 200,000 tokens of context, Grok 4.7 costs more: $4 input and $12 output per 1M tokens.
Choose Grok 4.7 for
Choose GLM-5.3-Flash for
No clear advantage
On this page
Where is the difference?
Strengths at a glance
Grok 4.7GLM-5.3-FlashMedian of all ranked models
95 % range: Grok 4.7 100.2 to 106.1, GLM-5.3-Flash 91.3 to 102.2.
The same values and verdicts as the bars below. In the close-up the net starts at 80 points, just below the weaker model's lowest value; the reference group average is 100.
Grok 4.7 is ahead in 8 of 10 areas, GLM-5.3-Flash in none.
Grok 4.7 ahead: 8Grok 4.7 slightly ahead: 1level: 1
Bar length shows the gap in index points (full width 15 points, one standard deviation of the reference group). Solid means clearly ahead, hatched not certain yet, a thin grey bar level.
Show 3 more areas that do not count toward the overall index
Bar length shows the gap in index points (full width 15 points, one standard deviation of the reference group). Solid means clearly ahead, hatched not certain yet, a thin grey bar level.
Which model for which task?
Everyday tasks, translated from the area values above. Each row names the values it rests on.
See for yourself: same task, one attempt
The same prompt for both models. We show the latest attempt without fixes; it does not count toward the overall index.
Grok 4.7

Oct 1, 2026 · 13 s · $0.0072
Test details
- Run date
- Oct 1, 2026
- API provider
- openrouter
- Requested API model
- x-ai/grok-4.7
- Reasoning setting
- high
- Token limit including reasoning
- 8,192 tokens
- Output tokens
- 1,069 tokens
- Cost of the attempt
- $0.0072
- Response time
- 13.4 s
- API model reported in response
- x-ai/grok-4.7
- Pinned endpoint
- xAI | x-ai/grok-4.7-20260916
- Temperature
- Provider default
- Test protocol
- community-visual-tests-v1
- Technical checks
- Passed, not a quality rating
Visually reviewed. This individual test does not establish overall model quality.
Earlier attempts (1)
- Oct 1, 2026API request failedReasoning setting: high
GLM-5.3-Flash

Oct 1, 2026 · 50 s · $0.0013
Test details
- Run date
- Oct 1, 2026
- API provider
- openrouter
- Requested API model
- z-ai/glm-5.3-flash
- Reasoning setting
- high
- Token limit including reasoning
- 8,192 tokens
- Output tokens
- 2,563 tokens
- Cost of the attempt
- $0.0013
- Response time
- 49.7 s
- API model reported in response
- z-ai/glm-5.3-flash
- Pinned endpoint
- Z.AI | z-ai/glm-5.3-flash-20260826
- Temperature
- Provider default
- Test protocol
- community-visual-tests-v1
- Technical checks
- Passed, not a quality rating
Visually reviewed. This individual test does not establish overall model quality.
Earlier attempts (1)
- Sep 7, 2026API request failedReasoning setting: high
SVG short test
SVG short test
One SVG task with the same fixed settings for every model, without hidden thinking.
Prompt
Return only one standalone SVG of a pelican riding a bicycle. Use viewBox="0 0 800 600", simple shapes, two clearly visible wheels and a recognizable pelican with a long beak. At most 30 SVG elements and 1800 characters. No Markdown, explanations, comments, scripts, animation, CSS or external resources.
Grok 4.7
Unavailable in this round
GLM-5.3-Flash
Unavailable in this round
Grok 4.7 and GLM-5.3-Flash in the overall index
Every model with a place in the overall index, both models of this matchup highlighted. You can add or hide other models.
Overall index (Gradually Meta-Score v4)
20 of 92 models
5 models in this view are measured at a lower reasoning effort than max in the overall index. Dashed column: lower reasoning effort than the top.
Popularity compared
How often the models are searched for, used and mentioned, on a scale from 0 to 100.
Grok 4.7 is more popular than GLM-5.3-Flash: 61 to 44 out of 100.
Over time
Weekly values from October 18, 2026 to November 6, 2026
Grok 4.7GLM-5.3-Flash
All data side by side
The better value is bold. For the overall index only when the gap is clear.
| Metric | Grok 4.7 | GLM-5.3-Flash |
|---|---|---|
| Intelligence | ||
| Overall indexpoints, 100 = reference group average, higher is better | 103.4 | 94.2 |
| Rank | Rank 21 of 92 | Rank 37 of 92 |
| Price per 1M tokens | ||
| Inputwhat you send | $2above 200,000 tokens: $4 | $0.15 |
| Outputwhat the model writes | $6above 200,000 tokens: $12 | $0.50 |
| Cost per task (own tests)average of 1 original-protocol task both models passed (SVG short test not included) | $0.007 | $0.001 |
| Speed | ||
| Tokens per second | 71 | 56 |
| Popularity | ||
| Popularitysearch, usage and mentions, 0 to 100 | 61Rank 37 of 876 | 44Rank 200 of 876 |
| Technical | ||
| Context windowhow much text the model reads at once | 500,000 tokens≈ 750 A4 pages | 1 M tokens≈ 1,500 A4 pages |
| Knowledge cutoff | May 2026 | n/a |
| Released | Sep 21, 2026 | Aug 26, 2026 |
| Availability | Active | Open Source |
| Open weights | no | yes |
Prices without caching or batch discounts · Page count as a rule of thumb from Artificial Analysis
Is there a better choice?
Overall index 103.4, rank 20$0.10 input and $0.50 output per 1M tokens
Grok 4.7 vs. Claude Haiku 5.5Overall index 126.1, rank 1$4 input and $20 output per 1M tokens
Grok 4.7 vs. Claude Opus 5.5Shared benchmarks
Single results from the same benchmark version, task and metric. A value is bold only with the same test setup and a clear gap.
A: Grok 4.7B: GLM-5.3-Flash
Show 54 more benchmarks
More comparisons
Compare Grok 4.7 and GLM-5.3-Flash with the models people compare them with most often.
Compare another matchup
Predecessor and successor
The most popular comparisons
- 1Claude Opus 5.5 vs. GLM-5.3-Flash
- 2GPT-6 Luna vs. GLM-5.3-Flash
- 3Gemini 3.8 Flash vs. GLM-5.3-Flash
- 4DeepSeek V4.1 Flash 1017 vs. GLM-5.3-Flash
- 5Gemini 3.8 Flash vs. Grok 4.7
- 6Claude Sonnet 5.5 vs. Grok 4.7
- 7Grok 4.7 vs. DeepSeek-V4.1-Flash
- 8Claude Haiku 5.5 vs. Grok 4.7
- 9GPT-5.4 vs. GLM-5.3-Flash
Show all 65 comparisons
- 10Claude Sonnet 4.6 vs. GLM-5.3-Flash
- 11GPT-6 Sol vs. GLM-5.3-Flash
- 12Claude Opus 5 vs. GLM-5.3-Flash
- 13Grok 4.7 vs. Kimi K3
- 14DeepSeek-V4-Flash vs. GLM-5.3-Flash
- 15GLM-5.3-Flash vs. Mistral Large 4
- 16GLM-5.3-Flash vs. GLM-5.3
- 17DeepSeek-V4.1-Flash vs. GLM-5.3-Flash
- 18GPT-6.1 Sol vs. GLM-5.3-Flash
- 19Gemini 4 Argon vs. Grok 4.7
- 20GPT-5.6 Sol vs. GLM-5.3-Flash
- 21GPT-6 Astra vs. GLM-5.3-Flash
- 22Claude Haiku 5.5 vs. GLM-5.3-Flash
- 23Grok 4.7 vs. DeepSeek V4.1 Flash 1017
- 24GPT-6 Luna vs. Grok 4.7
- 25Claude Opus 4.6 vs. GLM-5.3-Flash
- 26Claude Opus 4.8 vs. Grok 4.7
- 27Claude Opus 5.5 vs. Grok 4.7
- 28Kimi K3 vs. GLM-5.3-Flash
- 29Claude Opus 4.8 vs. GLM-5.3-Flash
- 30Grok 4.7 vs. DeepSeek-V4-Pro
- 31Claude Fable 5.1 vs. Grok 4.7
- 32Grok 4.7 vs. Grok 4.5
- 33GPT-5.6 Terra vs. Grok 4.7
- 34Claude Haiku 4.5 vs. GLM-5.3-Flash
- 35GPT-6 Sol vs. Grok 4.7
- 36Claude Sonnet 4.6 vs. Grok 4.7
- 37Claude Sonnet 5.5 vs. GLM-5.3-Flash
- 38Grok 4.7 vs. GLM-5.3
- 39Gemini 4 Argon vs. GLM-5.3-Flash
- 40GPT-5.6 Luna vs. Grok 4.7
- 41Grok 4.7 vs. Qwen 3.8 Max 0902
- 42GLM-5.3-Flash vs. Qwen 3.8 27B
- 43Grok 4.7 vs. DeepSeek-V4-Flash
- 44Claude Opus 5 vs. Grok 4.7
- 45DeepSeek-V4-Pro vs. GLM-5.3-Flash
- 46GPT-5.6 Sol vs. Grok 4.7
- 47Claude Fable 5.1 vs. GLM-5.3-Flash
- 48Grok 4.7 vs. GLM-5.2
- 49Claude Sonnet 4.5 vs. Grok 4.7
- 50GLM-5.3-Flash vs. MiMo-V2.5-Pro
- 51Gemini 3.1 Pro Preview vs. Grok 4.7
- 52GLM-5.3-Flash vs. Qwen 3.8 Max 0902
- 53GLM-5.3-Flash vs. GLM-5.2
- 54GPT-5.6 Luna vs. GLM-5.3-Flash
- 55Claude Opus 4.7 vs. Grok 4.7
- 56GPT-6.1 Sol vs. Grok 4.7
- 57Muse Wonder Full vs. Grok 4.7
- 58Claude Haiku 4.5 vs. Grok 4.7
- 59GPT-5.5 vs. GLM-5.3-Flash
- 60GPT-6.1 Terra vs. GLM-5.3-Flash
- 61Grok 4.3 vs. GLM-5.3-Flash
- 62GPT-6.1 Terra vs. Grok 4.7
- 63Kimi K3.1 Pro vs. GLM-5.3-Flash
- 64Grok 4.7 vs. Kimi K3.1 Pro
- 65Gemini 4 Carbon vs. Grok 4.7