Kimi K2.7 Code pricing: real cost per million tokens

What Kimi's Kimi K2.7 Code really costs across 8 plans from 4 providers: monthly fees, usable allowances and real per-token prices, against the official API list price and independent leaderboards.

Data updated · How real prices are computed

As of 2026-10-08, the cheapest way to use Kimi K2.7 Code is Kimi Allegro at a real cost of about $0.02105 per million tokens ($99 (¥699)/month for roughly 4.704B tokens a month). We track 8 plans and API channels that serve Kimi K2.7 Code. Official API list price per million tokens: $0.19 cached input, $0.95 input, $4 output — about $0.228 per million tokens on a standard workload mix.

Lowest real price
$0.02105/MTokKimi Allegro
API list price
$0.228/MTokstandard workload mix
Most monthly tokens
4.704BKimi Allegro
Plans & APIs
88 subscriptions · 0 metered APIs
Maker
Kimi
Model ID
kimi-k2.7-code
Providers
Command Code, Kimi, Ollama, OpenCode
Leaderboards
Artificial Analysis Intelligence Index v4.3, Terminal-Bench 4.0 (AA), Code Arena | WebDev Overall, DeepSWE v1.1

Plot Kimi K2.7 Code on the price–capability chart →

Kimi K2.7 Code plans and real prices

Real price = monthly fee ÷ tokens you can actually use in a month. “vs API” shows how many times cheaper than the official API list price (standard workload mix) the plan is. “Evidence” opens the full calculation and sources for that row.

Every tracked way to use Kimi K2.7 Code, cheapest first
PlanProviderBillingMonthly feeMonthly tokensReal $/MTokvs APIConfidenceData date
Kimi AllegroKimiSubscription$99 (¥699)/mo4.704B$0.0210510.8×MediumEvidence ↓
Kimi AllegrettoKimiSubscription$39 (¥199)/mo1.568B$0.024879.2×MediumEvidence ↓
OpenCode GoOpenCodeSubscription$10/mo0.263B$0.038016×MediumEvidence ↓
Command Code GOATCommand CodeSubscription$10/mo0.263B$0.038016×MediumEvidence ↓
Kimi ModeratoKimiSubscription$19 (¥99)/mo0.314B$0.060513.8×MediumEvidence ↓
Ollama ProOllamaSubscription$20/mo0.263B$0.076023×MediumEvidence ↓
Ollama MaxOllamaSubscription$100/mo1.316B$0.076023×MediumEvidence ↓
Kimi Andante (CN)KimiSubscription$7.23/mo0.078B$0.092672.5×MediumEvidence ↓

Behind each number

For every plan: the data date, the exact calculation, the quota basis, how leaderboard scores were mapped, and the original adoption evidence with its sources.

Kimi AllegroKimi$0.0210459/MTok
Data date
2026-08-20 · derived; uses the data date of Kimi 会员 199 · kimi-k2.7-code
Real price / MTok
$0.0210459
Monthly tokens
4,704,000,000 (4.704B)
Quota confidence
Medium
Calculation
$99 / month (¥699) ÷ 4,704,000,000 tokens × 1,000,000 ≈ $0.0210459 / MTok
Quota basis

Not workload-normalized: sample lacks a token breakdown (or is an official absolute token table); raw tokens used as-is

Official API list (cached / in / out, per MTok): $0.19 / $0.95 / $4 · standard-load blended ≈ $0.228/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
DeepSWE v1.1: Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

¥199 tier × official 60/20; kimi-k27-adoption-round8-2026-09-08.json

Added 4.704B: inherits the ¥199 tier's 1.568B and the official Code credits multiplier; the standalone ¥699-tier K2.7-dominated large mixed sample scaled back to the ¥199 tier is about 1.674B — range corroboration only; same-name domestic and overseas tiers merged into one point: monthly fee and unit price use the international Kimi Allegro $99 list price (previously domestic ¥699÷6.7787≈$103.12); price/currency still record the actual domestic price paid; the allowance stays on the domestic-tier basis — the overseas same-name tier's absolute tokens are unmeasured; the merge is for price-tier display only

Kimi AllegrettoKimi$0.0248724/MTok
Data date
2026-08-20 · sampled
Real price / MTok
$0.0248724
Monthly tokens
1,568,000,000 (1.568B)
Quota confidence
Medium
Calculation
$39 / month (¥199) ÷ 1,568,000,000 tokens × 1,000,000 ≈ $0.0248724 / MTok
Quota basis

Not workload-normalized: sample lacks a token breakdown (or is an official absolute token table); raw tokens used as-is

Official API list (cached / in / out, per MTok): $0.19 / $0.95 / $4 · standard-load blended ≈ $0.228/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
DeepSWE v1.1: Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

V2EX pure-K2.7 panel 11,913,113/0.76% = 1.568B; kimi-k27-round7-2026-09-08.json; kimi-k27-adoption-round8-2026-09-08.json

Added K2.7 Standard standalone point: the direct monthly-% back-derivation 1.568B is adopted rather than a midpoint with the weaker ¥699-tier mixed sample; credible range about 1.56B~1.67B. Single pure-model-account evidence is high, but cross-account/period adoption is lowered to medium; not workload-normalized: only cache read + total, lacking input/output breakdown; same-name domestic and overseas tiers merged into one point: monthly fee and unit price use the international Kimi Allegretto $39 list price (previously domestic ¥199÷6.7787≈$29.36); price/currency still record the actual domestic price paid; the allowance stays on the domestic-tier basis — the overseas same-name tier's absolute tokens are unmeasured; the merge is for price-tier display only

OpenCode GoOpenCode$0.0380084/MTok
Data date
2026-09-30 · official source date
Real price / MTok
$0.0380084
Monthly tokens
263,100,000 (0.263B)
Quota confidence
Medium
Calculation
$10 / month ÷ 263,100,000 tokens × 1,000,000 ≈ $0.0380084 / MTok
Quota basis

Standard workload: 97% cache reads / 2.5% input / 0.5% output

Official API list (cached / in / out, per MTok): $0.19 / $0.95 / $4 · standard-load blended ≈ $0.228/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
DeepSWE v1.1: Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

https://opencode.ai/docs/go/ official per-model Usage and three-part pricing; opencode-go-round5-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json

Old: 378.5M (request estimate)→263.1M: min(shared monthly pool $60, model Usage $60) ÷ project standard-workload weighted price; single official tier. The official request counts serve only as a cross-check and are no longer the primary allowance figure; allowances of different models in the same plan are not additive

Command Code GOATCommand Code$0.0380084/MTok
Data date
2026-09-30 · official source date
Real price / MTok
$0.0380084
Monthly tokens
263,100,000 (0.263B)
Quota confidence
Medium
Calculation
$10 / month ÷ 263,100,000 tokens × 1,000,000 ≈ $0.0380084 / MTok
Quota basis

Standard workload: 97% cache reads / 2.5% input / 0.5% output

Official API list (cached / in / out, per MTok): $0.19 / $0.95 / $4 · standard-load blended ≈ $0.228/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
DeepSWE v1.1: Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json

Added 263.1M: min(shared monthly pool $70, model allowance $60) ÷ project standard-workload weighted price; official three-part pricing. Processing fee ignored; allowances of different models in the same plan are not additive; no usage-panel token+% screenshot — computed from official absolute credits and the price list

Kimi ModeratoKimi$0.0605096/MTok
Data date
2026-08-20 · derived; uses the data date of Kimi 会员 199 · kimi-k2.7-code
Real price / MTok
$0.0605096
Monthly tokens
314,000,000 (0.314B)
Quota confidence
Medium
Calculation
$19 / month (¥99) ÷ 314,000,000 tokens × 1,000,000 ≈ $0.0605096 / MTok
Quota basis

Not workload-normalized: sample lacks a token breakdown (or is an official absolute token table); raw tokens used as-is

Official API list (cached / in / out, per MTok): $0.19 / $0.95 / $4 · standard-load blended ≈ $0.228/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
DeepSWE v1.1: Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

¥199 tier × official 4/20; kimi-k27-adoption-round8-2026-09-08.json

Added 314M: inherits the ¥199 tier's 1.568B and the official Code credits multiplier; not an independent measurement; same-name domestic and overseas tiers merged into one point: monthly fee and unit price use the international Kimi Moderato $19 list price (previously domestic ¥99÷6.7787≈$14.60); price/currency still record the actual domestic price paid; the allowance stays on the domestic-tier basis — the overseas same-name tier's absolute tokens are unmeasured; the merge is for price-tier display only

Ollama ProOllama$0.0760167/MTok
Data date
2026-09-06 · official source date
Real price / MTok
$0.0760167
Monthly tokens
263,100,000 (0.263B)
Quota confidence
Medium
Calculation
$20 / month ÷ 263,100,000 tokens × 1,000,000 ≈ $0.0760167 / MTok
Quota basis

Standard workload: 97% cache reads / 2.5% input / 0.5% output

Official API list (cached / in / out, per MTok): $0.19 / $0.95 / $4 · standard-load blended ≈ $0.228/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
DeepSWE v1.1: Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

https://ollama.com/pricing official usage credits and three-part pricing; https://ollama.com/blog/transparent-pricing; code-subscriptions-round1-2026-09-06.json; ollama-deepseek-v41-round1-2026-09-11.json

Added 263.1M: shared monthly pool $60 ÷ project standard-workload weighted price; official three-part pricing. Allowances of different models in the same plan are not additive (assuming the shared pool is used up on a single model); no usage-panel token+% screenshot — computed from official absolute credits and the price list

Ollama MaxOllama$0.0760167/MTok
Data date
2026-09-06 · official source date
Real price / MTok
$0.0760167
Monthly tokens
1,315,500,000 (1.316B)
Quota confidence
Medium
Calculation
$100 / month ÷ 1,315,500,000 tokens × 1,000,000 ≈ $0.0760167 / MTok
Quota basis

Standard workload: 97% cache reads / 2.5% input / 0.5% output

Official API list (cached / in / out, per MTok): $0.19 / $0.95 / $4 · standard-load blended ≈ $0.228/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
DeepSWE v1.1: Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

https://ollama.com/pricing official usage credits and three-part pricing; https://ollama.com/blog/transparent-pricing; code-subscriptions-round1-2026-09-06.json; ollama-deepseek-v41-round1-2026-09-11.json

Added 1.3155B: shared monthly pool $300 ÷ project standard-workload weighted price; official three-part pricing. Allowances of different models in the same plan are not additive (assuming the shared pool is used up on a single model); no usage-panel token+% screenshot — computed from official absolute credits and the price list

Kimi Andante (CN)Kimi$0.0926734/MTok
Data date
2026-08-20 · derived; uses the data date of Kimi 会员 199 · kimi-k2.7-code
Real price / MTok
$0.0926734
Monthly tokens
78,000,000 (0.078B)
Quota confidence
Medium
Calculation
$7.23 / month (¥49) ÷ 78,000,000 tokens × 1,000,000 ≈ $0.0926734 / MTok
Quota basis

Not workload-normalized: sample lacks a token breakdown (or is an official absolute token table); raw tokens used as-is

Official API list (cached / in / out, per MTok): $0.19 / $0.95 / $4 · standard-load blended ≈ $0.228/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
DeepSWE v1.1: Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

¥199 tier × official 1/20; K2.7 Standard available to all members; kimi-k27-adoption-round8-2026-09-08.json

Added 78M: inherits the ¥199 tier's 1.568B and the official Code credits multiplier; not an independent measurement. This tier excludes only K3, not K2.7 Standard; exchange rate 1 USD = 6.7787 CNY (2026-09-04 CNY central parity rate; old rate 7.2); CNY monthly fee divided by the rate to get USD; https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html

Kimi K2.7 Code benchmark scores

Highest archived configuration per leaderboard; ranks are among all models each board archives in this dataset. Scores are never mixed across boards.

Kimi K2.7 Code on independent leaderboards
LeaderboardMetricScoreRankConfigurationEffortHarnessConfigsSnapshot
Artificial Analysis Intelligence Index v4.3Intelligence Index25.81#47 / 60Kimi K2.7 Code——12026-10-01
Terminal-Bench 4.0 (AA)Resolution Rate %1.01#41 / 53Artificial Analysis - Kimi K2.7 Code—Artificial Analysis12026-10-01
Code Arena | WebDev OverallArena Score1,473#44 / 54kimi-k2.7-code——12026-09-30
DeepSWE v1.1Pass@1 %30.53#30 / 33mini-swe-agent - kimi-k2-7-code (None)Nonemini-swe-agent12026-09-03

Every archived configuration

Artificial Analysis Intelligence Index v4.3 1 configuration
Artificial Analysis Intelligence Index v4.3: every archived configuration (Intelligence Index)
ConfigurationScoreScore intervalHarness / effort / modeSource task cost (mean / median)CheckedLinks
Kimi K2.7 Code25.8121—— / — / —— / —2026-10-01Source · Archive
Terminal-Bench 4.0 (AA) 1 configuration
Terminal-Bench 4.0 (AA): every archived configuration (Resolution Rate %)
ConfigurationScoreScore intervalHarness / effort / modeSource task cost (mean / median)CheckedLinks
Artificial Analysis - Kimi K2.7 CodeAA's own-harness independent measurement of Terminal-Bench 4.0 (the terminalBench40 field in the models-board payload, fraction×100); scored separately from the official tbench.ai board.1.0101—Artificial Analysis / — / —— / —2026-10-01Source · Archive
Code Arena | WebDev Overall 1 configuration
Code Arena | WebDev Overall: every archived configuration (Arena Score)
ConfigurationScoreScore intervalHarness / effort / modeSource task cost (mean / median)CheckedLinks
kimi-k2.7-code1,4731,463.6 – 1,482.4— / — / —— / —2026-10-01Source · Archive
DeepSWE v1.1 1 configuration
DeepSWE v1.1: every archived configuration (Pass@1 %)
ConfigurationScoreScore intervalHarness / effort / modeSource task cost (mean / median)CheckedLinks
mini-swe-agent - kimi-k2-7-code (None)30.53130.03 – 31.032mini-swe-agent / None / —$2.816 / $2.1962026-09-12Source · Archive

These are reference mappings, not benchmarks of a subscription or API channel. Harness and quota-measurement effort alignment are unverified. Source task costs are not subscription task costs.

Kimi K2.7 Code official API pricing

List price per million tokens
Cached inputInputOutput
$0.19$0.95$4

Frequently asked questions

How much does Kimi K2.7 Code really cost per million tokens?

Measured as monthly fee ÷ tokens you can actually use, Kimi K2.7 Code ranges from $0.02105 (Kimi Allegro) to $0.09267 (Kimi Andante (CN)) per million tokens.

Which subscription gives the most Kimi K2.7 Code usage?

Kimi Allegro allows roughly 4.704B tokens of Kimi K2.7 Code per month for $99 (¥699).

What is the official API price of Kimi K2.7 Code?

Official API list price per million tokens: $0.19 cached input, $0.95 input, $4 output — about $0.228 per million tokens on a standard workload mix.

How does Kimi K2.7 Code score on independent leaderboards?

Kimi K2.7 Code has scores on 4 leaderboards; its strongest placement is 1.01 (Resolution Rate %) on Terminal-Bench 4.0 (AA), #41 of 53 models tracked.

Who makes Kimi K2.7 Code, and where can I use it?

Kimi K2.7 Code (model ID kimi-k2.7-code) is made by Kimi and is available through Command Code, Kimi, Ollama, OpenCode.

More Kimi models

Other Kimi models by lowest real price
ModelLowest real $/MTokCheapest planPlans
Kimi K3$0.02274Kimi Allegro8
Kimi K2.6$0.03316OpenCode Go2
Kimi K2.5$0.06349Command Code GOAT1
Kimi K2.7 Code HighSpeed$0.2278Command Code GOAT1