GLM 5.3 Flash · Data analysis
GLM 5.3 Flash for data analysis: our test runs
GLM 5.3 Flash ran our 5 data analysis prompts in llmwise, through the same pipeline your messages take. Here's every reply as it came, whether it passed, what it cost and what it counts as on Pro, next to the other models.
Based on 5 of our test runs on , through OpenRouter with the app's own prompt and settings.
Short answer
In our test runs on September 27, 2026, GLM 5.3 Flash passed 4 of 5 of our data analysis prompts (1 of the 2 hard ones): tied 12th of 15 models. Each reply counted as 1 message on Pro, where it has 60 a day, and cost $0.0004 to run on average.
Prompt by prompt
Each of the 5 data analysis prompts, and how GLM 5.3 Flash's reply did.
| Prompt | Result | Cost | Time |
|---|---|---|---|
| The region with the most revenueEveryday | Passed: Final answer North, with 1,085.00 in revenue: right. | $0.0005 | 8.8 s |
| Average order value in AugustEveryday | Passed: Final answer 300.00: right. | $0.0004 | 14.5 s |
| Revenue change from July to AugustEveryday | Passed: Final answer 67.4%: right. | $0.0004 | 9.8 s |
| A median, filtered two waysHard | Passed: Final answer 6.25: right. | $0.0001 | 3.7 s |
| Correlation between ad spend and sign-upsHard | Failed: Final answer 0.99; expected 0.97. | $0.0005 | 19.4 s |
Every data analysis reply from GLM 5.3 Flash
The region with the most revenue
An everyday prompt: “The region with the most revenue”, in full.
Passed: Final answer North, with 1,085.00 in revenue: right.
Revenue per line (quantity × price): - 1001 West: 2×45 = 90 - 1002 East: 1×120 = 120 - 1003 West: 1×310 = 310 - 1004 North: 4×45 = 180 - 1005 East: 3×45 = 135 - 1006 North: 2×120 = 240 - 1007 West: 2×120 = 240 - 1008 East: 1×310 = 310 - 1009 North: 2×310 = 620 - 1010 West: 5×45 = 225 - 1011 East: 3×120 = 360 - 1012 North: 1×45 = 45 Totals by region: - West: 90 + 310 + 240 + 225 = 865 - East: 120 + 135 + 310 + 360 = 925 - North: 180 + 240 + 620 + 45 = 1,085 Final answer: North, with $1,085.00 in revenue
655 tokens in, 478 out (220 of them reasoning) · 8.8 s · $0.0005 · 1 message on Pro · answered by z-ai/glm-5.3-flash via Wafer ·
Average order value in August
An everyday prompt: “Average order value in August”, in full.
Passed: Final answer 300.00: right.
**August 2026 orders (1007–1012):** | Order | Qty × Price | Revenue | |-------|-------------|---------| | 1007 | 2 × 120.00 | 240.00 | | 1008 | 1 × 310.00 | 310.00 | | 1009 | 2 × 310.00 | 620.00 | | 1010 | 5 × 45.00 | 225.00 | | 1011 | 3 × 120.00 | 360.00 | | 1012 | 1 × 45.00 | 45.00 | Total revenue = 240 + 310 + 620 + 225 + 360 + 45 = **1,800.00** Number of orders = **6** Average = 1,800.00 ÷ 6 = **300.00** Final answer: 300.00
662 tokens in, 372 out (171 of them reasoning) · 14.5 s · $0.0004 · 1 message on Pro · answered by z-ai/glm-5.3-flash via Wafer ·
Revenue change from July to August
An everyday prompt: “Revenue change from July to August”, in full.
Passed: Final answer 67.4%: right.
**July 2026 revenue:** - 2×45 = 90 - 1×120 = 120 - 1×310 = 310 - 4×45 = 180 - 3×45 = 135 - 2×120 = 240 - Total = **1075** **August 2026 revenue:** - 2×120 = 240 - 1×310 = 310 - 2×310 = 620 - 5×45 = 225 - 3×120 = 360 - 1×45 = 45 - Total = **1800** **Percentage change:** (1800 − 1075) / 1075 × 100 = 725 / 1075 × 100 ≈ 67.4419% → 67.4% Final answer: 67.4%
667 tokens in, 424 out (231 of them reasoning) · 9.8 s · $0.0004 · 1 message on Pro · answered by z-ai/glm-5.3-flash via Wafer ·
A median, filtered two ways
A hard prompt: “A median, filtered two ways”, in full.
Passed: Final answer 6.25: right.
Billing + high tickets: T1=5.5, T4=2, T6=9, T9=7, T10=26, T12=4 Sorted: 2, 4, 5.5, 7, 9, 26 — six values, so median = (5.5 + 7)/2 = 6.25 Final answer: 6.25
526 tokens in, 142 out (53 of them reasoning) · 3.7 s · $0.0001 · 1 message on Pro · answered by z-ai/glm-5.3-flash via AtlasCloud ·
Correlation between ad spend and sign-ups
A hard prompt: “Correlation between ad spend and sign-ups”, in full.
Failed: Final answer 0.99; expected 0.97.
Working: - Mean ad_spend = 6150/8 = 768.75; mean signups = 434/8 = 54.25 - Σ(dx·dy) = 24428.125 - Σdx² = 624687.5; Σdy² = 971.5 - r = 24428.125 / √(624687.5 × 971.5) = 24428.125 / √606,871,906.25 ≈ 24428.125 / 24634.8 ≈ 0.9916 Final answer: 0.99
468 tokens in, 1,022 out (338 of them reasoning) · 19.4 s · $0.0005 · 1 message on Pro · answered by z-ai/glm-5.3-flash via Relace ·
How it compares on data analysis
GLM 5.3 Flash beside the job's picks among every model. 11 models share the hard-problems pick, and GLM 5.3 Flash isn't one of them.
| Model | Passed | On Pro | Cost per reply |
|---|---|---|---|
| DeepSeek V4 ProOur pick: hard problems (shared), best value | 5 of 5 | 250 a month on Pro | $0.0016 |
| GPT-6 LunaOur pick: hard problems (shared), everyday | 5 of 5 | 60 a day on Pro | $0.0002 |
| GLM 5.3 Flash | 4 of 5 | 60 a day on Pro | $0.0004 |
Every limit is published. Paid plans also have a monthly fair-use limit on AI cost: Pro $7.50, Max $20, Ultra $42, Studio $85. Using every message on your plan at typical sizes stays under it; very large messages and heavy research use it faster. Every limit, explained.
How these runs were done
Final answer. Automatic. The reply's last “Final answer:” line must hold the right value.
GLM 5.3 Flash, and data analysis, elsewhere
Questions
Is GLM 5.3 Flash good for data analysis?
In our test runs it passed 4 of 5 data analysis prompts, tied 12th of the 15 models in llmwise. Every reply is on this page, so you can judge them yourself.
How many of my messages does a data analysis reply from GLM 5.3 Flash use?
1 message each on Pro, where it has 60 a day on Pro. The price of a message is fixed and shown before you send it, however long the reply.
How were these runs done?
The same way for every model: each prompt sent through llmwise's own pipeline, each reply checked the same way. The methods page has every prompt and how each is scored.
Claude, GPT, Gemini, DeepSeek, Grok, Kimi, and GLM, in one chat.
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