Model index · Text · text generation · reasoning · open weights · MoonshotAI · released 2026-06-12

Kimi K2.7 Code pricing

Served by 19 providers from $0.0000 to $3.42 per 1M tokens on the standard tier.

A reasoning model — the headline price is not the whole bill

This model thinks before it answers, and those thinking tokens are billed at the output rate while never appearing in the response. A request can therefore cost several times what the per-1M figure suggests, and the multiplier depends on your prompts rather than on anything we can publish. Compare it against other reasoning models — the alternatives below are ordered to put those first.

MoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts. It uses a native multimodal mixture-of-experts...

MoonshotAI · 1026.88B parameters · modified-mit · first published 2026-06-12 · Text model · text generation · 262k context · description as published by the source, not written by us

Open weights: moonshotai/Kimi-K2.7-Code · 1026.88B parameters counted from the weight files · licence modified-mit · 0.6M downloads in the last 30 days . Parameter count and licence come from the public weights registry, not from a seller — and the download figure exists only for models published this way, so it is not a market-wide popularity measure.

$1.34

Cheapest standard /1M — OpenRouter (default route)

262k

Native context window

22

Providers serving it

Quality not measured yet

Quality not measured yet

We measure models on request rather than pre-scoring the whole catalog, so this one has no score yet. Absence of a score is not a low score.

At 1M requests/month (1500 in / 500 out tokens), moving from MoonshotAI to MoonshotAI saves about $6,850/month.

Illustrative traffic shape, stated so you can check it against your own. Same weights both sides — but confirm quantisation and context below before switching.

Every provider and service tier

Standard on-demand rows first, cheapest of each group first. Tiers are not interchangeable — see the note below the table.

Provider In /1M Out /1M Blended /1M Tier Region Source
MoonshotAI cheapest standard $0.0000 $0.0000 $0.0000 standard official_docs
OpenRouter (default route) *
resells other hosts
$0.6600 $3.40 $1.34 standard provider_api
Inceptron $0.6700 $3.40 $1.35 standard third_party
DeepInfra $0.6800 $3.40 $1.36 standard third_party
DeepInfra $0.6800 $3.40 $1.36 standard provider_api
Ambient $0.6900 $3.49 $1.39 standard third_party
CoreWeave $0.7100 $3.50 $1.41 standard third_party
Venice $0.7500 $3.50 $1.44 standard third_party
Parasail $0.7600 $3.50 $1.45 standard third_party
ModelRun $0.8500 $3.75 $1.57 standard third_party
SiliconFlow $0.8592 $3.80 $1.59 standard third_party
Novita $0.9120 $3.84 $1.64 standard third_party
MoonshotAI $0.9500 $4.00 $1.71 standard third_party
Cloudflare $0.9500 $4.00 $1.71 standard third_party
AtlasCloud $0.9500 $4.00 $1.71 standard third_party
Together $0.9500 $4.00 $1.71 standard third_party
Alibaba $0.9500 $4.00 $1.71 standard third_party
Novita $0.9500 $4.00 $1.71 standard provider_api
MoonshotAI $1.90 $8.00 $3.42 standard third_party
DeepInfra $0.5440 $2.72 $1.09 flex provider_api
OpenRouter (default route) *
resells other hosts
$0.9500 $4.00 $1.71 batch provider_api
DeepInfra $1.02 $5.10 $2.04 priority provider_api

Not every row is the same product

This table mixes service tiers, and they are not interchangeable. Rows marked standard are ordinary on-demand requests. The others trade delivery for price:

  • flex — queued at lower priority, so latency is higher and requests can be deferred under load
  • batch — submitted as a batch and collected later, typically within 24 hours — not for interactive use
  • priority — reserved capacity for tighter, more predictable latency

Every comparison elsewhere on this site uses the standard tier, so a model is never shown at a queued rate beside another model's on-demand rate.

Cheaper if your workload can wait: flex at $1.09 per 1M on DeepInfra — 19% below standard , queued at lower priority, so latency is higher and requests can be deferred under load.

* OpenRouter chooses a host for each request, and the figure above is what its default choice costs — not a fixed rate for this model. Selecting a specific host through the same account costs whatever that host charges, which is why this row can sit above or below the hosts listed beside it. Token rates are passed through from the underlying provider with no markup, so the per-1M price above is what that host charges directly — OpenRouter's own charge sits on funding instead: 5.5% (min $0.80) by Stripe or 5% by Coinbase to buy credits, 5% of the equivalent spend if you bring your own provider key. So budget about 5% above the rate shown unless you already hold credit. Fee schedule.

Compare Kimi K2.7 Code with alternatives

One model per vendor, ordered by how prominent the vendor is and how many independent providers serve the model — hosts only carry what customers ask for, so that is a real demand signal. This is not traffic or popularity data, which we do not have. Every alternative below does the same job — text generation — because a price comparison between a generator and, say, an upscaler is arithmetic rather than advice. Prices on both sides are standard on-demand rates, so the comparison is like for like — a discounted batch or flex rate is never shown against another model’s standard rate.

AlternativeVendor $/1M vs Kimi K2.7 Code QualityKindContextHosts
GPT-5.1-Codex-Mini OpenAI $0.6875
OpenRouter (default route)
49% cheaper not measured reasoning 400k 1
Qwen3 Coder Plus Alibaba $1.30
Alibaba
3% cheaper not measured reasoning 1M 1
Seed-2.0-Code ByteDance Seed $1.13
OpenRouter (default route)
16% cheaper not measured reasoning 262k 1
KAT-Coder-Pro V2.5 Kwaipilot $1.29
OpenRouter (default route)
4% cheaper not measured standard 256k 1
Codestral 2508 Mistral $0.4500
Mistral
67% cheaper not measured standard 256k 1

Prices are the cheapest host for each model, blended at a 3:1 input:output ratio. "Quality" is our own probe suite where we have run it — see what it measures. A cheaper alternative is only a real saving if it also passes on the capability your workload needs.

5 of these alternatives cost less than Kimi K2.7 Code — the cheapest being Codestral 2508 at $0.4500 per 1M tokens blended (67% cheaper).

Cheaper is not automatically better: check the quality column, and confirm the context window and capabilities your workload depends on before switching.

Before you switch

Identical weights do not guarantee identical output. Check that the cheaper host serves the model at full precision rather than a quantised copy, that its context window matches what you need, and that its rate limits carry your peak traffic. A cheaper host that cannot take your throughput is not cheaper — it is an outage.

Move to MoonshotAI without a rewrite

VernaOne fronts every provider on this page with one API, so switching host is a config change — with automatic fallback if quality or latency regresses.

Try VernaOne free →

Frequently asked

How much does Kimi K2.7 Code cost?

The cheapest standard-tier provider is MoonshotAI at $0.0000 per 1M tokens blended (3:1 input:output). A flex tier is available at $1.09, 19% less, if the work can be queued. Prices change often; verify with the provider before budgeting.

Which provider is best for Kimi K2.7 Code?

Cheapest is not automatically best. Compare quantisation (a lossy copy of the weights changes output), the context window each host actually serves, and rate limits. Where a provider serves less context than the model's native window we flag it in the table above.

Can I switch providers for Kimi K2.7 Code without changing code?

Yes, if you route through an abstraction. VernaOne exposes one API across every provider listed here, so switching host is a config change and you keep automatic fallback if the new one degrades.

← All models · Generated catalog of AI models and every provider that serves them, with normalised prices in USD per 1,000,000 tokens. Blended prices assume a 3:1 input:output ratio.