GLM-4.6V (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
#236 of 533
#39 of 249
Similar intelligence, lower price
| Model | Intelligence | Blended $/1M |
|---|---|---|
| Gemma 4 E4B (Reasoning) | 8.9 | $0.04 |
| Granite 4.2 3B | 9.1 | $0.052 |
| Qwen3.5 4B (Reasoning) | 13.1 | $0.06 |
| Sarvam 105B (high) | 8.8 | $0.074 |
| NVIDIA Nemotron 3 Nano 30B A3B (Reasoning) | 8.9 | $0.088 |
Leaderboard neighbours
| Model | Intelligence | Blended $/1M |
|---|---|---|
| o1-preview | 11.4 | $28.875 |
| Grok 4.1 Fast (Non-reasoning) | 11.3 | — |
| Mistral Small 4 (Reasoning) | 11.3 | $0.262 |
| GLM-4.6V (Reasoning) | 11.2 | $0.45 |
| Qwen3 Next 80B A3B (Reasoning) | 11.2 | $0.412 |
| GLM-4.5-Air | 11.1 | $0.372 |
| Granite 4.2 8B | 11.1 | $0.107 |
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 (Reasoning) See GLM-4.6V (Reasoning) on the leaderboard
Source: Artificial Analysis · last synced 2026-09-22
FAQ
Who develops GLM-4.6V (Reasoning)?
GLM-4.6V (Reasoning) is developed by Z AI, released 2025-12-08.
How much does GLM-4.6V (Reasoning) cost per million tokens?
GLM-4.6V (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 (Reasoning) rank on benchmarks?
GLM-4.6V (Reasoning) scores 11.2 on the Artificial Analysis Intelligence Index, ranking #236 of 533 models we track.
Is there a cheaper model with similar intelligence to GLM-4.6V (Reasoning)?
Yes — Gemma 4 E4B (Reasoning) scores similar intelligence (8.9) at $0.04/1M blended, versus $0.45/1M for GLM-4.6V (Reasoning).
Where does this data come from?
Pricing and benchmark data for GLM-4.6V (Reasoning) comes from Artificial Analysis (artificialanalysis.ai), synced daily. Last synced 2026-09-22.