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CostPerPrompt

Kimi K2 0711 API Pricing

Moonshot (Kimi) · context window 131K · prices updated 2026-09-15

Input per 1M tokens
$0.57
Output per 1M tokens
$2.30
Cached input per 1M
No discounted cached tier on this model

Where Kimi K2 0711 sits on price

At $2.30 per million output tokens, Kimi K2 0711 is a mid tier model — 1.1× the median output price of $2.08, which puts it cheaper than 47% and pricier than 53% of the models we track. It sits 2th cheapest of the 8 Moonshot (Kimi) models we track. Output costs 4.0× input, the usual spread — trim both, starting with the answer length.

Output tokens per $1
434,783
One full context fill
$0.0747
Cheaper than
47% of tracked models

What real workloads cost on Kimi K2 0711

These three workloads are the ones teams actually run on a mid-priced model — a $2.30/1M model is not bought for the same job as one ten times the price.

Workload Per request Per month
Support chatbot — 500 conversations/day (5K in / 1.4K out) Conversation history re-sent each turn — the classic prompt-caching win. $0.0061 $91.05
Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. $0.0029 $858
Small app — 1K requests/day (500 in / 150 out) The baseline most side projects actually run at. $0.0006 $18.90

Model your exact traffic in the API cost calculator — it preloads Kimi K2 0711 with caching and batch options.

Kimi K2 0711 price history

Kimi K2 0711's price has not moved since we began tracking it on Aug 2, 2026 — 44 days of stability in a market where 78 of the 334 models we track have repriced over the same period, including 4 of Moonshot (Kimi)'s own 8 models.

Change-points from our daily price snapshots (tracking since Aug 2, 2026; intraday moves between snapshots are not captured).

Kimi K2 0711 vs Qwen3 235B A22B Thinking 2507

The closest-priced alternative from another vendor is Qwen3 235B A22B Thinking 2507 (Alibaba (Qwen)) — priced within a rounding error on output, with $0.34 less per million input tokens. When two models land this close on price, the decision is quality on your own workload, not the price sheet: run 50 real requests through both and compare.

See Qwen3 235B A22B Thinking 2507 pricing →

Cheaper alternatives

More Moonshot (Kimi) models

Frequently asked questions

How much does the Kimi K2 0711 API cost?

Kimi K2 0711 costs $0.57 per million input tokens and $2.30 per million output tokens and no discounted cached-input tier. That works out to roughly 434,783 output tokens per dollar.

What does the support chatbot workload cost on Kimi K2 0711?

Support chatbot — 500 conversations/day (5K in / 1.4K out) costs about $0.0061 per request and $91.05 per month on Kimi K2 0711. Conversation history re-sent each turn — the classic prompt-caching win.

What does it cost to fill Kimi K2 0711's 131K context window?

Sending 131K of input in a single request costs $0.0747 at $0.57 per million tokens — before any output. There is no cached-input tier on this model, so every repeat of that context is billed at full price. This is why large context windows are cheap to advertise and expensive to actually use.

Is Kimi K2 0711 worth the price?

Kimi K2 0711 sits in the middle of the market (2 of 8 by price within Moonshot (Kimi)). The honest test is a routing experiment: send the same 200 real requests to this model and to a tier below, and compare failure rate against the price gap — most teams find a majority of traffic never needed the pricier model.