Kimi K3.1 Pro vs Qwen3.6 Plus
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on November 14, 2026· 230 models
Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model and a post-trained successor to Kimi K3, with a 1M-token context window.
- Reasoning estimated
- ▲
- Speed estimated
- Input
- Output
- Context
- ▲1 M tokens
- Max output
- ▲944 K
- Input, $ per 1M tokens
- $2.00
- Output, $ per 1M tokens
- $10.00
- Cache read, $ per 1M
- $0.200
- Batch (input / output)
- $0.700 / $6.00
- Tool calling
- Yes
- Released
- ▲10/23/2026
- Knowledge cutoff
- —
- API id
- moonshotai/kimi-k3.1-pro
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.
- Reasoning estimated
- Speed estimated
- ▲
- Input
- Output
- Context
- 1 M tokens
- Max output
- 66 K
- Input, $ per 1M tokens
- ▲$0.325
- Output, $ per 1M tokens
- ▲$1.95
- Cache read, $ per 1M
- —
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 04/02/2026
- Knowledge cutoff
- 2025-04
- API id
- qwen/qwen3.6-plus
Which is the better API choice: Kimi K3.1 Pro vs Qwen3.6 Plus?
- Qwen3.6 Plus: cheapest input (84% less than Kimi K3.1 Pro)
- Qwen3.6 Plus: cheapest output
- Kimi K3.1 Pro: largest context (1 M)
- Kimi K3.1 Pro: the newest (10/23/2026)
- Kimi K3.1 Pro: most reasoning (estimated)
- Qwen3.6 Plus: the fastest (estimated)
Qwen3.6 Plus costs 84% less on input and 81% less on output than Kimi K3.1 Pro ($0.325 / $1.95 versus $2.00 / $10.00 per million tokens). Kimi K3.1 Pro accepts more context (1 M). Kimi K3.1 Pro offers a batch tier at half price for jobs that do not need an immediate answer.
What would your product cost?
Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.
With Qwen3.6 Plus you save $57.33 a month versus Kimi K3.1 Pro (82% less).
The 6 cheapest for this scenario (chat, last 12 months)
- 1Lyria 3 Pro Preview Google$0.00
- 2Lyria 3 Clip Preview Google$0.00
- 3Qwen3.7 Flash Qwen$0.97
- 4DeepSeek V4.1 Flash DeepSeek$1.57
- 5DeepSeek V4 Flash 0731 DeepSeek$1.85
- 6Ministral 3 3B 2512 Mistral$1.90
Paste your prompt: tokens and cost per model
Rough estimate (about 4 characters per token). Nothing is sent to any server.
Cost of sending it 1,000 times (input only)
- 1Claude Haiku 5.5 Anthropic$0.008
- 2Qwen3.6 Plus Qwen$0.025
- 3Kimi K3.1 Pro Moonshot$0.152
- 4Claude Sonnet 5.5 Anthropic$0.152
- 5Claude Opus 5.5 Anthropic$0.304
- 6Claude Opus 5 Anthropic$0.380
- 7Claude Fable 5.2 Anthropic$0.608
- 8Claude Fable 5.1 Anthropic$0.760
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See allFrequently asked questions
Which is the better API choice: Kimi K3.1 Pro vs Qwen3.6 Plus?
Qwen3.6 Plus costs 84% less on input and 81% less on output than Kimi K3.1 Pro ($0.325 / $1.95 versus $2.00 / $10.00 per million tokens). Kimi K3.1 Pro accepts more context (1 M). Kimi K3.1 Pro offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: Kimi K3.1 Pro and Qwen3.6 Plus?
Qwen3.6 Plus is cheaper: $0.325 per million input tokens and $1.95 per million output tokens, versus $2.00 / $10.00 for Kimi K3.1 Pro.
Which has more context: Kimi K3.1 Pro and Qwen3.6 Plus?
Kimi K3.1 Pro accepts 1 M tokens of context; Qwen3.6 Plus accepts 1 M.
Which is newer: Kimi K3.1 Pro and Qwen3.6 Plus?
Kimi K3.1 Pro was released on 10/23/2026; Qwen3.6 Plus on 04/02/2026.
What would 10,000 requests a month cost with Kimi K3.1 Pro and Qwen3.6 Plus?
With 1,500 input and 400 output tokens per request: Kimi K3.1 Pro: $70.00; Qwen3.6 Plus: $12.68 a month, at list price.
Where do the prices come from and how often are they updated?
From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.
What does price per million tokens mean?
It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.
Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.