Kimi K2 Turbo Preview
abacus/kimi-k2-turbo-previewVon abacus · Familie: kimi-k2 · veröffentlicht 2025-07-08
⚠ Dies ist ein Community-Finetune oder Derivat — keine offizielle Anbieter-Veröffentlichung.
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.
Coding49
- Tool calling40/40
- Structured output0/20
- Reasoning0/10
- Context window (100K → 1M)8/20
- Provider availability1/10
Agents41
- Tool calling35/35
- Structured output0/25
- Reasoning0/15
- Output token limit5/15
- Provider availability1/10
JSON / structured output34
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume4/20
Cost efficiency40
- Headline price (log-scaled)40/95
- Has prompt-cache pricing0/5
Long context60
- Context window (100K → 2M)50/90
- Has published price for full window10/10
Production-readiness50
- Number of independent providers5/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers10/10
- Official model (not derivative)0/15
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 | $4.75 < $0.01 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 | $9.50 < $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 | $4.30 < $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 | $9.20 < $0.01 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $6.60 < $0.01 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 abacus · kimi-k2-turbo-preview
Bei 1 Anbietern verfügbar
| Anbieter | Anbieter-Modell-ID | Eingabe / 1M | Ausgabe / 1M | Kontext | Veröffentlicht |
|---|---|---|---|---|---|
| Abacus abacus | kimi-k2-turbo-preview | $0.150 | $8.00 | 256K | 2025-07-08 |
Frequently asked questions
How much does Kimi K2 Turbo Preview cost?
Kimi K2 Turbo Preview costs $0.150 per 1M input tokens and $8.00 per 1M output tokens, sourced from abacus. 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 Preview?
Kimi K2 Turbo Preview has a context window of 256K tokens, with a max output of 8K tokens per reply. This is the total combined size of prompt + completion.
Does Kimi K2 Turbo Preview support tool calling?
Yes. Kimi K2 Turbo Preview 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 Preview support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for Kimi K2 Turbo Preview in our data source. Verify with abacus's official documentation before relying on it in production.
Can Kimi K2 Turbo Preview accept image input?
No. Kimi K2 Turbo Preview only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is Kimi K2 Turbo Preview open-weight?
No. Kimi K2 Turbo Preview is a proprietary model — only abacus (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.
What are the best alternatives to Kimi K2 Turbo Preview?
If Kimi K2 Turbo Preview doesn't fit, consider Nano Banana 2 Preview, Nano Banana, o4-mini. 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 are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
More abacus models
- Nano Banana 2 Preview$0.50 in / $3.00 out
- Nano Banana$0.30 in / $30.00 out
- o4-mini$1.10 in / $4.40 out
- Muse Spark 1.1$1.25 in / $4.25 out
- Nano Banana Pro Preview$2.00 in / $12.00 out
Capability lists this model is in
Zuletzt aktualisiert:
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.