GLM-4.6V (Non-reasoning) API Pricing
Z AI · released 2025-12-08
Pricing
0.030¢ / 1K
0.090¢ / 1K
0.045¢ / 1K
What it actually costs
| Workload | Tokens | Cost |
|---|---|---|
| Short chat reply | 500 in / 300 out | 0.042¢ |
| RAG query | 4,000 in / 500 out | 0.165¢ |
| Long document summary | 50,000 in / 1,000 out | $0.0159 |
| Code review of a 2k-line file | 30,000 in / 2,000 out | $0.0108 |
| 1,000 chat replies/day for 30 days | 30,000 × (500 in / 300 out) | $12.60 |
Cost = (input tokens ÷ 1,000,000 × $0.30) + (output tokens ÷ 1,000,000 × $0.90).
Benchmarks
#308 of 533
#174 of 249
Similar intelligence, lower price
| Model | Intelligence | Blended $/1M |
|---|---|---|
| Llama 3.1 Instruct 8B | 6.9 | $0.028 |
| Gemma 4 E4B (Reasoning) | 8.9 | $0.04 |
| Sarvam 30B (high) | 6.6 | $0.047 |
| Granite 4.2 3B | 9.1 | $0.052 |
| Nova Micro | 5.9 | $0.061 |
Leaderboard neighbours
| Model | Intelligence | Blended $/1M |
|---|---|---|
| DeepSeek V3 (Dec '24) | 8.5 | $0.463 |
| Gemini 2.5 Flash-Lite (Reasoning) | 8.5 | $0.175 |
| DeepSeek R1 Distill Qwen 32B | 8.4 | — |
| GLM-4.6V (Non-reasoning) | 8.4 | $0.45 |
| GPT-4o (Nov '24) | 8.4 | $4.375 |
| LFM2.5-2.6B | 8.4 | — |
| Nanbeige4.1-3B | 8.4 | — |
More from Z AI
| Model | Intelligence | Blended $/1M |
|---|---|---|
| GLM-5.3 (max) | 44.8 | $2.15 |
| GLM 5.3 Flash | 41.8 | $0.237 |
| GLM-5.2 (max) | 33.7 | $2.15 |
| GLM-5 (Reasoning) | 27.9 | $1.55 |
| GLM-5-Turbo | 26.6 | — |
| GLM-5.1 (Reasoning) | 26.1 | $2.00 |
| GLM 5V Turbo (Reasoning) | 23.5 | — |
| GLM-4.7 (Reasoning) | 22.2 | $1.00 |
Count tokens & estimate cost for GLM-4.6V (Non-reasoning) See GLM-4.6V (Non-reasoning) on the leaderboard
Source: Artificial Analysis · last synced 2026-09-22
FAQ
Who develops GLM-4.6V (Non-reasoning)?
GLM-4.6V (Non-reasoning) is developed by Z AI, released 2025-12-08.
How much does GLM-4.6V (Non-reasoning) cost per million tokens?
GLM-4.6V (Non-reasoning) costs $0.30 per 1M input tokens and $0.90 per 1M output tokens ($0.45 blended), per Artificial Analysis's official pricing data.
How does GLM-4.6V (Non-reasoning) rank on benchmarks?
GLM-4.6V (Non-reasoning) scores 8.4 on the Artificial Analysis Intelligence Index, ranking #308 of 533 models we track.
Is there a cheaper model with similar intelligence to GLM-4.6V (Non-reasoning)?
Yes — Llama 3.1 Instruct 8B scores similar intelligence (6.9) at $0.028/1M blended, versus $0.45/1M for GLM-4.6V (Non-reasoning).
Where does this data come from?
Pricing and benchmark data for GLM-4.6V (Non-reasoning) comes from Artificial Analysis (artificialanalysis.ai), synced daily. Last synced 2026-09-22.