Kimi K3.1 Pro vs MiniMax M3.1 Flash

Kimi K3.1 Pro and MiniMax M3.1 Flash side by side: specs, capabilities, parameters, and live pricing from the EmpirioLabs catalog.

Moonshot AI MiniMax Text Generation

Kimi K3.1 Pro vs MiniMax M3.1 Flash at a glance

Kimi K3.1 Pro from Moonshot AI and MiniMax M3.1 Flash from MiniMax are both in the Text Generation category, available through the EmpirioLabs API.

Key differences

  • Kimi K3.1 Pro is the newer release (Oct 23, 2026); MiniMax M3.1 Flash was released on Oct 19, 2026.
  • Both models have a context window of 1M tokens.
  • MiniMax M3.1 Flash returns up to 524,288 output tokens per response, Kimi K3.1 Pro up to 131,072.
  • Input types only MiniMax M3.1 Flash accepts: Video.
  • Capabilities listed only for Kimi K3.1 Pro: multimodal.
  • Capabilities listed only for MiniMax M3.1 Flash: video, web search, long context.
  • MiniMax M3.1 Flash lists the lower rate for Input (per 1M prompt tokens) and Output (per 1M generated tokens).

Kimi K3.1 Pro vs MiniMax M3.1 Flash: specs

SpecKimi K3.1 ProMiniMax M3.1 Flash
Model IDkimi-k3-1-prominimax-m3-1-flash
AuthorMoonshot AIMiniMax
ReleasedOct 23, 2026Oct 19, 2026
Context window1M tokens1M tokens
Max output131,072 tokens524,288 tokens
Input
Text Image
Text Image Video
Output
Text
Text
Structured outputJSON SchemaNot supported
RegionGermanySingapore
Endpoints
POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1beta/models/kimi-k3-1-pro:generateContent
POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1beta/models/minimax-m3-1-flash:generateContent
Capabilities
reasoning function calling multimodal vision agentic coding cache
reasoning vision video web search function calling cache long context agentic coding

Kimi K3.1 Pro vs MiniMax M3.1 Flash: API pricing

Live rates from the EmpirioLabs catalog for both models. Each rate card always matches what the API charges.

Kimi K3.1 Pro vs MiniMax M3.1 Flash: API parameters

Request parameters each model lists on EmpirioLabs, with the allowed values or range where one applies. A dash marks a parameter the model does not list.

ParameterKimi K3.1 ProMiniMax M3.1 Flash
max_tokens1 to 131072 Default: 131072-
stopstringarray
enable_thinkingboolean Default: true-
reasoning_effortlow, medium, high, max Default: maxlow, medium, high, xhigh, max Default: max
response_formatenum-
web_search_linkupboolean Default: false-
disable_formattingboolean Default: falseboolean Default: false
max_completion_tokens-1 to 524288 Default: 32768
tool_web_search-boolean Default: false
tools-array
tool_choice-object

Kimi K3.1 Pro vs MiniMax M3.1 Flash: limits and notes

Kimi K3.1 Pro

Supports text and image inputs with a 1M token context, function calling, and JSON schema structured output. Linkup web search is available through web_search_linkup and adds $0.013 per call when invoked. Thinking is on by default: set its depth with reasoning_effort (max is the default), or turn it off with enable_thinking, which lowers output quality. Reasoning tokens are billed as output tokens. Stop strings apply to reasoning as well as the answer, so a stop string that appears in the reasoning ends the reply early. Temperature and other sampling settings are fixed by the model service.

MiniMax M3.1 Flash

Text, image, and video input with text output, a 1M token context, and up to 524,288 output tokens. The model always reasons: reasoning_effort sets how deeply (low, medium, high, xhigh, or max; the default is max), and the reasoning text is returned in reasoning_content. Reasoning tokens are billed as output tokens. Repeated prompt prefixes are cached automatically and billed at the cached input rate. Set tool_web_search to true to let the model search the web; each executed search is billed, and one request can run several searches. Answers that used web search end with a Sources list unless disable_formatting is true. Structured output through response_format is not supported; ask for JSON in the prompt instead.

How to call Kimi K3.1 Pro and MiniMax M3.1 Flash

Kimi K3.1 Pro serves the OpenAI-compatible Chat Completions API. Point any OpenAI SDK at https://api.empiriolabs.ai/v1 with your EmpirioLabs API key and use the model id kimi-k3-1-pro. Both models are called through the same endpoint. Set model to kimi-k3-1-pro or minimax-m3-1-flash. Get an API key from the EmpirioLabs dashboard.

cURL
curl https://api.empiriolabs.ai/v1/chat/completions \
  -H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "kimi-k3-1-pro",
    "messages": [
      {"role": "user", "content": "Write a haiku about the ocean."}
    ]
  }'

Kimi K3.1 Pro vs MiniMax M3.1 Flash: tests and guides

Prompt tests and comparison runs that cover both models.

Kimi K3.1 Pro vs MiniMax M3.1 Flash: common questions

What is the difference between Kimi K3.1 Pro and MiniMax M3.1 Flash?

Kimi K3.1 Pro is the newer release (Oct 23, 2026); MiniMax M3.1 Flash was released on Oct 19, 2026. Both models have a context window of 1M tokens. MiniMax M3.1 Flash returns up to 524,288 output tokens per response, Kimi K3.1 Pro up to 131,072. The specs, rate cards, and parameters on this page come from the live EmpirioLabs catalog.

Which is newer, Kimi K3.1 Pro or MiniMax M3.1 Flash?

Kimi K3.1 Pro is the newer release (Oct 23, 2026); MiniMax M3.1 Flash was released on Oct 19, 2026.

Which has the lower rate, Kimi K3.1 Pro or MiniMax M3.1 Flash?

MiniMax M3.1 Flash lists the lower rate for Input (per 1M prompt tokens) and Output (per 1M generated tokens). Both live rate cards are on this page and always match what the API charges.

Can I switch between Kimi K3.1 Pro and MiniMax M3.1 Flash without rebuilding my integration?

Yes. Both models use POST /v1/chat/completions with the same EmpirioLabs API key, so most integrations switch by changing the model value. Check the parameters table on this page first if you rely on a model-specific parameter.

Can I try Kimi K3.1 Pro and MiniMax M3.1 Flash in the browser before integrating?

Yes. Open each model in the EmpirioLabs playground and run the same prompt on both, with the parameters the API exposes.

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