AI model comparison
GLM 4.6 vs Kimi K2 0905
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Z.ai
GLM 4.6
Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex
- Input / 1M
- $0.50
- Output / 1M
- $2
- Context
- 205K
Moonshot AI
Kimi K2 0905
Kimi K2 0905 is the September update of [Kimi K2 0711](moonshotai/kimi-k2).
- Input / 1M
- $0.60
- Output / 1M
- $2.50
- Context
- 262K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
GLM 4.6
1.2x cheaper for a typical chat
Higher intelligence score
GLM 4.6
18.5 vs 15.3 on Artificial Analysis
Larger context window
Kimi K2 0905
262K vs 205K tokens
Newer release
GLM 4.6
Released September 30, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
GLM 4.6 vs Kimi K2 0905 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $0.50 | $0.60 |
| Output tokensPer 1M tokens | $2 | $2.50 |
| Cached input (read)Per 1M tokens | $0.10 | Not available |
| Cache writePer 1M tokens | Not available | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Coding task
30K in, 4K out
Long document summary
150K in, 2K out
Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | ||
|---|---|---|
| Context window | 205K tokens | 262K tokens |
| Max output | 131K tokens | 98K tokens |
| Input types | Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | September 30, 2025 | September 4, 2025 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Not supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
- GLM 4.6 vs Qwen3.6 35B A3B
- GLM 4.6 vs Gemini 3.1 Flash Lite
- GLM 4.6 vs Gemini 2.5 Flash
- GLM 4.6 vs Gemini 3.5 Flash Lite
- GLM 4.6 vs GLM 4.7
- GLM 4.6 vs Qwen3.6 27B
- GLM 4.6 vs GPT-5.4 Nano
- GLM 4.6 vs GPT-5 Mini
- GLM 4.6 vs GPT-5.1-Codex-Mini
- GLM 4.6 vs LongCat 2.0
- GLM 4.6 vs Claude Haiku 4.5
- GLM 4.6 vs Qwen3.5-122B-A10B
- GLM 4.6 vs Muse Glimmer 30B
Our take
GLM 4.6 is 1.2x cheaper for a typical chat. GLM 4.6 scores higher on the Artificial Analysis Intelligence Index (18.5 vs 15.3). Kimi K2 0905 has the larger context window (262K vs 205K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is GLM 4.6 or Kimi K2 0905 cheaper?
GLM 4.6 is cheaper for a typical chat (2K input tokens and 500 output tokens). GLM 4.6 costs $0.50 per 1M input tokens and $2 per 1M output tokens, while Kimi K2 0905 costs $0.60 per 1M input tokens and $2.50 per 1M output tokens.
Which has a bigger context window, GLM 4.6 or Kimi K2 0905?
Kimi K2 0905 supports up to 262K tokens of context, compared with 205K for GLM 4.6.
Is GLM 4.6 smarter than Kimi K2 0905?
On the Artificial Analysis Intelligence Index, GLM 4.6 scores 18.5 and Kimi K2 0905 scores 15.3, putting GLM 4.6 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use GLM 4.6 and Kimi K2 0905 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GLM 4.6 and Kimi K2 0905 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GLM 4.6 and Kimi K2 0905 at the same time. Compare the answers side by side and keep the best one.