ModelsKimi K3.1 Pro Highspeed

Kimi K3.1 Pro Highspeed

The faster hosted variant of Kimi K3.1 Pro, with separate API pricing and no separately identified independent evaluation in the checked sources.

Moonshot AIReleased 23 October 2026Open weights pending

Model specifications

Context window
1,048,576 tokens
Maximum output
1,048,576 tokens
Input / output price
$4.00 / $20.00USD / million tokens · check tiers below
AA Intelligence Index
No published resultEvaluator composite, on its own scale

Test coverage

  • 165 no result

165 catalogue tests. Each test counts once; evaluator results take precedence where sources overlap.

0

tests with a result

0

source-specific results

No separately identified result is catalogued for this release. Scores from related models are not inherited.

Evaluation results

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API, pricing & runtime

Published prompt tiers, configuration notes, and endpoint measurements.

USD per million tokens
Prompt tierInputOutputCache readWrite 5mWrite 1h
All prompt lengths$4.00$20.00$0.20$4.00$8.00
Release, availability and weights

Released 23 October 2026 across Kimi web/mobile, Kimi Work, Kimi Code and the API. Full weights are promised by 4 November 2026 and were not public in the sources checked on 24 October; the licence is not yet published. Enterprise administrators must opt in at launch. Kimi Work requires version 3.1.0 or later.

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API identity and Highspeed

API identifier kimi-k3.1-pro-highspeed. Moonshot describes the same capabilities at 2–3× the speed of the base model; this is a publisher claim. No Highspeed-specific independent score, measured speed or latency was found, and the base model’s scores are not copied here.

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Context and completion limits

The official K3 API supports a 1,048,576-token shared context window. max_completion_tokens defaults to 131,072 and can be set up to 1,048,576, subject to the combined input/output budget; this is a request upper bound, not an additional output window. OpenRouter’s completion cap is recorded separately under Hosted runtime.

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Architecture and modalities

Moonshot calls this a 3T-class post-trained Kimi K3 model with native visual understanding. Artificial Analysis lists 2.8T total parameters and 104B active; these exact counts are evaluator metadata, not a new official architecture disclosure. The API guide supports text, image and video input with text output; no audio input/output is documented.

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Thinking and sampling

Always-on thinking with reasoning_effort low, high or max (default max). Temperature 1.0, top_p 0.95, n=1, presence_penalty=0 and frequency_penalty=0 are fixed and should be omitted. Return complete assistant messages unchanged in multi-turn and tool workflows.

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Capabilities and integration

Streaming, tool calling, forced tool choice, dynamic tool loading, JSON/strict JSON Schema and partial/prefix completion are documented. Chat Completions, Responses and Anthropic Messages-compatible APIs are available. Vision uses base64 or ms:// file identifiers; public image URLs are unsupported. Built-in web search is being updated and is not currently recommended for production. Zero Data Retention is available to API customers.

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USD pricing and caching

USD per million tokens, excluding tax: input $4.00, output $20.00, cached input $0.20, cache writes $4.00 for 5m and $8.00 for 1h. The official table explicitly gives the same $0.20 cache-read rate as the base model. Flat rates across context lengths; automatic repeated-prefix caching defaults to a 5m TTL.

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Documentation read 24 October 2026.

No separate hosted-runtime record was checked for this release.

Original sources

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