GPT-6.1 Terravs.GLM-5.2
Which one is better?
GPT-6.1 Terra is clearly ahead in the overall index. GPT-6.1 Terra is cheaper for input, GLM-5.2 for output.
GPT-6.1 Terra
Rank 12 to 27
GLM-5.2
Rank 41 to 47
GPT-6.1 Terra
fairly slow
GLM-5.2
fairly slow
GPT-6.1 Terra
fairly expensive
GLM-5.2
fairly expensive
GPT-6.1 Terra
- Subscription
Subscriptions in Germany: n/a
- Via API
$1 input, $5 output per 1M tokens.
GLM-5.2
- Subscription
No Z.ai subscription includes this model. Through other providers from ≈ €1.06 a month (Command Code Go, with limited credits). 30 plans in Germany.
- Via API
$1.40 input, $4.40 output per 1M tokens according to the provider; the price index has listed it at $1.30 and $4.40 since Oct 26, 2026.
- Note
- There is a successor: GLM-5.3 (rank 23 to 29, same price).
Overall index with data through Oct 29, 2026 · Prices from Oct 29, 2026 · Speed: measured by Artificial Analysis · Subscriptions as of Oct 24, 2026 · Subscription prices incl. VAT
Where is the difference?
Values from 0 to 100 per task area. We only name a winner when the gap is large enough and there are enough tests.
GPT-6.1 Terra ahead: 4GLM-5.2 ahead: 0level: 2too little data: 4of 10 areas
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.
Pelican on a bicycle
A community classic for free-form SVG drawing.
GPT-6.1 Terra
Not tested yet
GLM-5.2
Output withheld for safety
Reasoning (requested): high
Current attempt
- Run date
- Oct 5, 2026
- API provider
- openrouter
- Requested API model
- z-ai/glm-5.2
- API model reported in response
- z-ai/glm-5.2
- Reasoning setting
- high
- Pinned endpoint
- Z.AI | z-ai/glm-5.2-20260616
- Temperature
- Provider default
- Token limit including reasoning
- 8,192 tokens
- Test protocol
- community-visual-tests-v1
- Technical checks
- Failed
- Response time
- 31.4 s
Not yet visually reviewed. A successful recording does not confirm correct physics or full compliance with the prompt.
Earlier attempts (3)
- Oct 2, 2026API request failedReasoning setting: high
- Oct 1, 2026API request failedReasoning setting: high
- Sep 7, 2026API request failedReasoning setting: high
Prompt and test conditions
Generate an SVG of a pelican riding a bicycle
Token limit including reasoning: 8,192 tokens
Task origin (Simon Willison)SVG short test
There is no shared test round for this selection. Results from different rounds are not mixed.
All data side by side
The better value is bold. For the overall index only when the gap is clear.
| Metric | GPT-6.1 Terra | GLM-5.2 |
|---|---|---|
| Intelligence | ||
| Overall index0 to 100, higher is better | 67 | 23 |
| Rank | Rank 12 to 27 of 95 | Rank 41 to 47 of 95 |
| Price per 1M tokens | ||
| Inputwhat you send | $1above 272,000 tokens: $2 | $1.40 |
| Outputwhat the model writes | $5above 272,000 tokens: $7.50 | $4.40 |
| Speed | ||
| Tokens per second | 91 | 96 |
| Technical | ||
| Context windowhow much text the model reads at once | 1.05 M tokens≈ 1,580 A4 pages | 1 M tokens≈ 1,500 A4 pages |
| Knowledge cutoff | Jun 1, 2026 | n/a |
| Released | Oct 26, 2026 | Jun 16, 2026 |
| Availability | Active | Open Source |
| Open weights | no | yes |
- GPT-6.1 Terra, 12-hour cache write: The table's cache-write rate covers 30-minute retention. With 12-hour retention it is $2.50 per 1M tokens through 272,000 input tokens, $5 above. Source
- GPT-6.1 Terra, Long-context billing: Above 272,000 input tokens, the higher rates apply to the entire request. Input and cache rates double, while output costs 1.5 times the standard rate. Source
- GPT-6.1 Terra, Batch and Flex pricing: 50% off standard pricing Source
- GPT-6.1 Terra, Fast pricing: Fast mode costs twice the standard price Source
- GPT-6.1 Terra, Regional processing: 10% surcharge over standard processing Source
Prices without caching or batch discounts · Page count as a rule of thumb from Artificial Analysis
Shared 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: GPT-6.1 TerraB: GLM-5.2