Kimi K2 0711 vs Kimi K2.6
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on September 30, 2026· 217 models
Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- 131 K tokens
- Max output
- 98 K
- Input, $ per 1M tokens
- ▲$0.570
- Output, $ per 1M tokens
- ▲$2.30
- Cache read, $ per 1M
- —
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 07/11/2025
- Knowledge cutoff
- —
- API id
- moonshotai/kimi-k2
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.
- Reasoning estimated
- ▲
- Speed estimated
- Input
- Output
- Context
- ▲262 K tokens
- Max output
- ▲236 K
- Input, $ per 1M tokens
- $0.650
- Output, $ per 1M tokens
- $3.41
- Cache read, $ per 1M
- $0.150
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- ▲04/21/2026
- Knowledge cutoff
- 2025-01
- API id
- moonshotai/kimi-k2.6
Which is the better API choice: Kimi K2 0711 vs Kimi K2.6?
- Kimi K2 0711: cheapest input (12% less than Kimi K2.6)
- Kimi K2 0711: cheapest output
- Kimi K2.6: largest context (262 K)
- Kimi K2.6: the newest (04/21/2026)
- Kimi K2.6: most reasoning (estimated)
Kimi K2 0711 costs 12% less on input and 33% less on output than Kimi K2.6 ($0.570 / $2.30 versus $0.650 / $3.41 per million tokens). Kimi K2.6 accepts more context (262 K). On capabilities, Kimi K2.6 accepts images; Kimi K2.6 has a reasoning mode.
What would your product cost?
Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.
With Kimi K2 0711 you save $5.64 a month versus Kimi K2.6 (24% less).
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- 4DeepSeek V4 Flash 0731 DeepSeek$1.55
- 5Ministral 3 3B 2512 Mistral$1.90
- 6Qwen3.5-Flash Qwen$2.02
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)
- 1Kimi K2 0711 Moonshot$0.043
- 2Kimi K2.6 Moonshot$0.049
- 3Claude Sonnet 5.5 Anthropic$0.152
- 4Claude Sonnet 5 Anthropic$0.152
- 5Claude Opus 5.5 Anthropic$0.304
- 6Claude Opus 5 Anthropic$0.380
- 7Claude Fable 5.1 Anthropic$0.760
- 8Claude Fable 5 Anthropic$0.760
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Frequently asked questions
Which is the better API choice: Kimi K2 0711 vs Kimi K2.6?
Kimi K2 0711 costs 12% less on input and 33% less on output than Kimi K2.6 ($0.570 / $2.30 versus $0.650 / $3.41 per million tokens). Kimi K2.6 accepts more context (262 K). On capabilities, Kimi K2.6 accepts images; Kimi K2.6 has a reasoning mode.
Which is cheaper: Kimi K2 0711 and Kimi K2.6?
Kimi K2 0711 is cheaper: $0.570 per million input tokens and $2.30 per million output tokens, versus $0.650 / $3.41 for Kimi K2.6.
Which has more context: Kimi K2 0711 and Kimi K2.6?
Kimi K2.6 accepts 262 K tokens of context; Kimi K2 0711 accepts 131 K.
Which is newer: Kimi K2 0711 and Kimi K2.6?
Kimi K2.6 was released on 04/21/2026; Kimi K2 0711 on 07/11/2025.
What would 10,000 requests a month cost with Kimi K2 0711 and Kimi K2.6?
With 1,500 input and 400 output tokens per request: Kimi K2 0711: $17.75; Kimi K2.6: $23.39 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.