Kimi K2.6 model profile
Evidence snapshot:
Kimi K2.6 is a Moonshot AI model profile with a 262,144-token context window. The dated catalog snapshot records text, image modalities and interfaces for prompt caching, reasoning controls, structured output, text generation, tool calling.
Kimi K2.6 is an independent knowledge profile. It does not claim that Kendr hosts the model, quote a Kendr customer price, promise API availability, or advertise a Kendr routing receipt.
Kimi K2.6 accepts text and image and returns text. The snapshot records prompt caching, reasoning controls, structured output, text generation, tool calling, and vision as capabilities or interfaces.
The dated reference snapshot lists $0.5795 input and $2.44 output per million tokens. Cached input is $0.0976 per million tokens.
The 2026-08-12 snapshot includes 3 Artificial Analysis indexes and 21 Design Arena categories. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable.
Kimi K2.6 ranked #44 in the cited trailing-7-day third-party catalog usage dataset as of 2026-08-12. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.
Profile data was reviewed for the 2026-08-12 snapshot. Claims retain their source dates, and unavailable fields are shown as unavailable instead of estimated.
Profile facts
- Profile type
- Model research profile
- Provider or publisher
- Moonshot AI
- Context window
- 262,144 tokens
- Snapshot date
- 2026-08-12
- Reference catalog ID
- moonshotai/kimi-k2.6
Context, modalities, and identity
Kimi K2.6 accepts text and image and returns text. The snapshot records prompt caching, reasoning controls, structured output, text generation, tool calling, and vision as capabilities or interfaces.
- Provider or publisher
- Moonshot AI
- Context window
- 262,144 tokens
- Maximum output
- 262,144 tokens
- Input modalities
- text and image
- Output modalities
- text
- Knowledge cutoff
- Not disclosed
Capabilities and supported controls
Capabilities and parameters are reported from the dated catalog and source records; their presence does not guarantee identical behavior across every provider route.
- Supported parameters
- frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, parallel_tool_calls, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
- prompt caching
- reasoning controls
- structured output
- text generation
- tool calling
- vision
Dated pricing snapshot
The dated reference snapshot lists $0.5795 input and $2.44 output per million tokens. Cached input is $0.0976 per million tokens.
These are dated third-party reference prices, not Kendr prices or an availability offer. Routes, tiers, caching, region, and provider policy can change the landed price.
- Price date
- 2026-08-12
- Input
- $0.5795 per 1M tokens
- Cached input
- $0.0976 per 1M tokens
- Output
- $2.44 per 1M tokens
Benchmark evidence and limitations
The 2026-08-12 snapshot includes 3 Artificial Analysis indexes and 21 Design Arena categories. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable.
Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.
- Intelligence Index
- 45.1
- Coding Index
- 61.8
- Agentic Index
- 31.2
| Design Arena category | Elo | Win rate | Rank |
|---|---|---|---|
| agenticgamedev | 1148 | 48% | #15 |
| agentichtmlslides | 1248 | 59% | #2 |
| agenticslides | 1187 | 45.8% | #5 |
| agenticslides(html) | 1252 | 59.2% | #2 |
| agenticslides(python-pptx) | 1186 | 45.5% | #5 |
| androidnative | 1188 | 51.1% | #18 |
| fullstack | 1191 | 54.4% | #17 |
| godotgamedev | 1161 | 47.1% | #15 |
| htmlslides | 1232 | 54.8% | #6 |
| mobileapps | 1218 | 54.3% | #13 |
| pptxslides | 1181 | 44.3% | #5 |
| python-pptxslides | 1180 | 42.1% | #12 |
| webapps | 1268 | 59.3% | #6 |
| 3d | 1328 | 60.1% | #8 |
| asciiart | 1193 | 46.6% | #23 |
| codecategories | 1302 | 56.4% | #12 |
| dataviz | 1283 | 55.8% | #17 |
| gamedev | 1292 | 55.8% | #20 |
| svg | 1226 | 51.4% | #19 |
| uicomponent | 1300 | 55.9% | #17 |
| website | 1293 | 55% | #15 |
Popularity and market context
Kimi K2.6 ranked #44 in the cited trailing-7-day third-party catalog usage dataset as of 2026-08-12. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.
- Third-party catalog rank
- #44
- Global market share
- Not inferred
- Observation date
- 2026-08-12
Frequently asked questions
What is Kimi K2.6?
Kimi K2.6 is a Moonshot AI model profile with a 262,144-token context window. The dated catalog snapshot records text, image modalities and interfaces for prompt caching, reasoning controls, structured output, text generation, tool calling.
What context window does Kimi K2.6 have?
The dated profile lists 262,144 tokens of context and up to 262,144 output tokens. Provider routes, variants, and runtime configuration can impose lower effective limits.
What benchmark evidence is available for Kimi K2.6?
The 2026-08-12 snapshot includes 3 Artificial Analysis indexes and 21 Design Arena categories. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable. Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.
Is Kimi K2.6 available through Kendr?
This is an independent knowledge profile, not a Kendr-hosted availability claim. Check Kendr's live public model API for currently enabled Kendr aliases.
Does the popularity rank represent Kimi K2.6's global market share?
Kimi K2.6 ranked #44 in the cited trailing-7-day third-party catalog usage dataset as of 2026-08-12. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share. No global market-share percentage is inferred when the source does not publish one.
Sources and evidence dates
- Kimi K2.6 third-party catalog record (catalog, checked 2026-08-12)
- Third-party model catalog methodology (methodology, checked 2026-08-12)
- Moonshot AI official model documentation (primary, checked 2026-08-12)
- Artificial Analysis capability indices methodology (benchmark, checked 2026-08-12)
- Design Arena leaderboard and methodology (benchmark, checked 2026-08-12)