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- Kimi K3.1 Pro vs. GLM-5.1
Kimi K3.1 Provs.GLM-5.1
Which one is better?
Kimi K3.1 Pro is clearly ahead in the overall index, but costs 1.4 times (input) and 2.3 times (output) as much per token.
Kimi K3.1 Pro
Rank 10 to 13
GLM-5.1
Rank 48 to 55
Kimi K3.1 Pro
slow
GLM-5.1
fairly slow
Kimi K3.1 Pro
fairly expensive
GLM-5.1
fairly expensive
Kimi K3.1 Pro
- Subscription
At Moonshot AI from ≈ €20.14 a month (Kimi Plus, with limited credits). 4 plans in Germany.
- Via API
$2 input, $10 output per 1M tokens.
GLM-5.1
- Subscription
No Z.ai subscription includes this model. Through other providers from ≈ €1.06 a month (Command Code Go, with limited credits). 13 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 $1.05 and $3.50 since Sep 3, 2026.
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.
Kimi K3.1 Pro ahead: 7GLM-5.1 ahead: 0level: 0too little data: 3of 10 areas
Show 1 more areas that do not count toward the overall index
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.
Kimi K3.1 Pro
Not tested yet
GLM-5.1
Output withheld for safety
Reasoning (requested): high
Current attempt
- Run date
- Oct 5, 2026
- API provider
- openrouter
- Requested API model
- z-ai/glm-5.1
- API model reported in response
- z-ai/glm-5.1
- Reasoning setting
- high
- Pinned endpoint
- Z.AI | z-ai/glm-5.1-20260406
- Temperature
- Provider default
- Token limit including reasoning
- 8,192 tokens
- Test protocol
- community-visual-tests-v1
- Technical checks
- Failed
- Response time
- 141.6 s
Not yet visually reviewed. A successful recording does not confirm correct physics or full compliance with the prompt.
Earlier attempts (3)
- Oct 2, 2026Output withheld for safetyReasoning 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 | Kimi K3.1 Pro | GLM-5.1 |
|---|---|---|
| Intelligence | ||
| Overall index0 to 100, higher is better | 80 | 11 |
| Rank | Rank 10 to 13 of 95 | Rank 48 to 55 of 95 |
| Price per 1M tokens | ||
| Inputwhat you send | $2 | $1.40 |
| Outputwhat the model writes | $10 | $4.40 |
| Speed | ||
| Tokens per second | 36 | 77 |
| Technical | ||
| Context windowhow much text the model reads at once | 1.05 M tokens≈ 1,570 A4 pages | 200,000 tokens≈ 300 A4 pages |
| Knowledge cutoff | n/a | n/a |
| Released | Oct 23, 2026 | Apr 7, 2026 |
| Availability | Active | Open Source |
| Open weights | n/a | yes |
- Kimi K3.1 Pro, API price listed by Artificial Analysis: $2 input, $10 output, and $0.20 cached input per 1 million tokens. Kimi's official API publishes CNY rates separately. Source
- Kimi K3.1 Pro, Official API pricing: K3.1 Pro: CNY 13 input, CNY 68 output, CNY 13 cache write, and CNY 1.30 cache hit per million tokens. Source
- Kimi K3.1 Pro, Highspeed API pricing: CNY 26 input, CNY 136 output, CNY 26 cache write, and CNY 1.30 cache hit per million tokens. Source
- Kimi K3.1 Pro, International API pricing in USD: The international Kimi platform lists $2 input, $10 output, $2 cache write and $0.20 cache hit per million tokens. Highspeed costs $4/$20/$4/$0.20. Checked October 29, 2026. Separately documented CNY tariffs remain separate observations. 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: Kimi K3.1 ProB: GLM-5.1