Kimi K2 Turbo
moonshotai/kimi-k2-turbo-previewVon Moonshot AI · Familie: kimi · veröffentlicht 2025-09-05 · Wissensstand: 2024-10
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Fähigkeiten
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding51
- Tool calling40/40
- Structured output0/20
- Reasoning0/10
- Context window (100K → 1M)8/20
- Provider availability3/10
Agents53
- Tool calling35/35
- Structured output0/25
- Reasoning0/15
- Output token limit15/15
- Provider availability3/10
JSON / structured output30
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume0/20
Cost efficiency40
- Headline price (log-scaled)35/95
- Has prompt-cache pricing5/5
Long context61
- Context window (100K → 2M)51/90
- Has published price for full window10/10
Production-readiness71
- Number of independent providers15/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers6/10
- Official model (not derivative)15/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $17.00 $0.02 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $34.00 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $9.80 < $0.01 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $29.20 $0.03 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $34.80 $0.03 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Preis-Details
Empfohlene Preise von moonshotai · kimi-k2-turbo-preview
Günstigster Anbieter: abacus · $0.150 Eingabe + $8.00 Ausgabe
Bei 3 Anbietern verfügbar
| Anbieter | Anbieter-Modell-ID | Eingabe / 1M | Ausgabe / 1M | Kontext | Veröffentlicht |
|---|---|---|---|---|---|
| Moonshot AI moonshotai | kimi-k2-turbo-preview | $2.40 | $10.00 | 262K | 2025-09-05 |
| Moonshot AI (China) moonshotai-cn | kimi-k2-turbo-preview | $2.40 | $10.00 | 262K | 2025-09-05 |
| Abacus abacus | kimi-k2-turbo-preview | $0.150 | $8.00 | 256K | 2025-07-08 |
Datenunterschiede zwischen Anbietern
- context_window varies: 256000, 262144
- release_date varies (span 59d): 2025-07-08, 2025-09-05
Anbieter melden unterschiedliche Werte für dieses Modell. Die Schnellinfos oben nutzen den repräsentativen Anbieter; pro Anbieter siehe Tabelle.
Frequently asked questions
How much does Kimi K2 Turbo cost?
Kimi K2 Turbo costs $2.40 per 1M input tokens and $10.00 per 1M output tokens, sourced from moonshotai. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of Kimi K2 Turbo?
Kimi K2 Turbo has a context window of 262K tokens, with a max output of 262K tokens per reply. This is the total combined size of prompt + completion.
Does Kimi K2 Turbo support tool calling?
Yes. Kimi K2 Turbo supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Does Kimi K2 Turbo support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for Kimi K2 Turbo in our data source. Verify with Moonshot AI's official documentation before relying on it in production.
Can Kimi K2 Turbo accept image input?
No. Kimi K2 Turbo only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is Kimi K2 Turbo open-weight?
Yes. Kimi K2 Turbo's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.
What are the best alternatives to Kimi K2 Turbo?
If Kimi K2 Turbo doesn't fit, consider Kimi K2.5, Kimi K2 Thinking, Kimi K2.6. Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
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Capability lists this model is in
Zuletzt aktualisiert:
Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.