AI model comparison
Kimi K2.6 vs Qwen3.6 Plus
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Moonshot AI
Kimi K2.6
Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration.
- Input / 1M
- $0.43
- Output / 1M
- $2.45
- Context
- 262K
Qwen
Qwen3.6 Plus
Qwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling strong scalability and high-performance inference.
- Input / 1M
- $0.33
- Output / 1M
- $1.95
- Context
- 1M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Qwen3.6 Plus
1.3x cheaper for a typical chat
Higher intelligence score
Tie
27 vs 27 on Artificial Analysis
Larger context window
Qwen3.6 Plus
1M vs 262K tokens
Newer release
Kimi K2.6
Released April 20, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Qwen3.6 Plus27Coding index
Qwen3.6 Plus54.5Agentic index
Qwen3.6 PlusNot availablePricing
Kimi K2.6 vs Qwen3.6 Plus API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3.6 Plus | |
|---|---|---|
| Input tokensPer 1M tokens | $0.43 | $0.33 |
| Output tokensPer 1M tokens | $2.45 | $1.95 |
| Cached input (read)Per 1M tokens | $0.11 | Not available |
| Cache writePer 1M tokens | Not available | $0.41 |
| Long-context pricingPer 1M tokens, for very long prompts | Same rate at any length | $1.30 in / $3.90 out above 256K |
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
Qwen3.6 Plus$1.63Coding task
30K in, 4K out
Qwen3.6 Plus$17.55Long document summary
150K in, 2K out
Qwen3.6 Plus$52.65Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Qwen3.6 Plus | |
|---|---|---|
| Context window | 262K tokens | 1M tokens |
| Max output | 236K tokens | 66K tokens |
| Input types | Image, Text | Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | April 20, 2026 | April 2, 2026 |
Features
Supported features
API features available for each model.
| Metric | Qwen3.6 Plus | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | 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.
- Kimi K2.6 vs DeepSeek V4 Flash 0423
- Kimi K2.6 vs MiniMax M3
- Kimi K2.6 vs Gemini 3 Flash Preview
- Kimi K2.6 vs Qwen3.7 Max
- Kimi K2.6 vs GLM 5
- Kimi K2.6 vs Grok Build 0.1
- Kimi K2.6 vs GLM 5 Turbo
- Kimi K2.6 vs GLM 5.1
- Kimi K2.6 vs MiMo-V2.5-Pro
- Kimi K2.6 vs Kimi K2.7 Code
- Kimi K2.6 vs Grok 4.20
- Kimi K2.6 vs Inkling Small
- Kimi K2.6 vs Inkling
- Kimi K2.6 vs Grok 4.3
- Kimi K2.6 vs Kimi K2.5
- Kimi K2.6 vs Kimi K2 Thinking
Qwen3.6 PlusView full model details- Qwen3.6 Plus vs Qwen3.7 Max
- Qwen3.6 Plus vs MiniMax M3
- Qwen3.6 Plus vs GLM 5
- Qwen3.6 Plus vs Grok Build 0.1
- Qwen3.6 Plus vs Gemini 3 Flash Preview
- Qwen3.6 Plus vs GLM 5.1
- Qwen3.6 Plus vs Grok 4.20
- Qwen3.6 Plus vs Inkling Small
- Qwen3.6 Plus vs Qwen3.7 Plus
- Qwen3.6 Plus vs DeepSeek V4 Flash 0423
- Qwen3.6 Plus vs Qwen3.5-27B
Our take
Qwen3.6 Plus is 1.3x cheaper for a typical chat. Qwen3.6 Plus has the larger context window (1M vs 262K 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 Kimi K2.6 or Qwen3.6 Plus cheaper?
Qwen3.6 Plus is cheaper for a typical chat (2K input tokens and 500 output tokens). Qwen3.6 Plus costs $0.33 per 1M input tokens and $1.95 per 1M output tokens, while Kimi K2.6 costs $0.43 per 1M input tokens and $2.45 per 1M output tokens.
Which has a bigger context window, Kimi K2.6 or Qwen3.6 Plus?
Qwen3.6 Plus supports up to 1M tokens of context, compared with 262K for Kimi K2.6.
Is Kimi K2.6 smarter than Qwen3.6 Plus?
On the Artificial Analysis Intelligence Index, Kimi K2.6 scores 27 and Qwen3.6 Plus scores 27, putting Kimi K2.6 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Kimi K2.6 and Qwen3.6 Plus at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Kimi K2.6 and Qwen3.6 Plus answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Kimi K2.6 and Qwen3.6 Plus at the same time. Compare the answers side by side and keep the best one.