Kimi-K2.6
novita/kimi-k2-6من novita · أُصدِر 2026-04-20 · تاريخ المعرفة: 2025-04
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
القدرات
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.
Coding59
- Tool calling40/40
- Structured output0/20
- Reasoning10/10
- Context window (100K → 1M)8/20
- Provider availability1/10
Agents66
- Tool calling35/35
- Structured output0/25
- Reasoning15/15
- Output token limit15/15
- Provider availability1/10
JSON / structured output40
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume10/20
Cost efficiency50
- Headline price (log-scaled)45/95
- Has prompt-cache pricing5/5
Long context61
- Context window (100K → 2M)51/90
- Has published price for full window10/10
Vision82
- Accepts image input50/50
- Context window (10K → 1M)21/30
- Has published price10/10
- Provider availability1/10
Production-readiness65
- 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)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 | $6.82 < $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 | $13.64 < $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 | $3.94 < $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 | $11.72 $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 | $13.94 $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
تفاصيل التسعير
السعر المُوصى به من poe · novita/kimi-k2.6
متاح لدى 1 مزود
| المزود | معرف نموذج المزود | إدخال / 1M | إخراج / 1M | السياق | تاريخ الإصدار |
|---|---|---|---|---|---|
| Poe poe | novita/kimi-k2.6 | $0.960 | $4.04 | 262K | 2026-04-20 |
Frequently asked questions
How much does Kimi-K2.6 cost?
Kimi-K2.6 costs $0.960 per 1M input tokens and $4.04 per 1M output tokens, sourced from poe. 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-K2.6?
Kimi-K2.6 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-K2.6 support tool calling?
Yes. Kimi-K2.6 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-K2.6 support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for Kimi-K2.6 in our data source. Verify with novita's official documentation before relying on it in production.
Can Kimi-K2.6 accept image input?
Yes. Kimi-K2.6 accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check novita's docs for the exact rule.
Is Kimi-K2.6 open-weight?
Yes. Kimi-K2.6'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-K2.6?
If Kimi-K2.6 doesn't fit, consider Kimi-K2.5, glm-4.7, GLM-5. 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.
Explore more
More novita models
- Kimi-K2.5$0.60 in / $3.00 out
- glm-4.7Unknown pricing
- GLM-5$1.00 in / $3.20 out
- minimax-m2.1Unknown pricing
- GLM-4.6Unknown pricing
Capability lists this model is in
آخر تحديث:
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.