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  1. Models
  2. Text
  3. Moonshot AI

Kimi K2 Instruct

Kimi K2 0905. Kimi-k2 is a Mixture-of-Experts (MoE) foundation model with exceptional coding and agent capabilities, featuring 1 trillion total parameters and 32 billion activated parameters. In benchmark evaluations covering general knowledge reasoning, programming, mathematics, and agent-related tasks, the K2 model outperforms other leading open-source models. Quantized at FP8.

  • Tool Calling
  • Structured Output
Model weights

Pricing

Auto routing · per 1M tokens
Input
$0.40
Output
$1.80
Cache read
$0.20
Compare provider prices

Specifications

Context window
256K
Max output
8.2K
Parameters
1T / 32B
Total / active

Benchmarks

Leaderboard results

BenchmarkScoreRank on NanoGPT
EQ-Bench

EQ-Bench data, MIT · Updated Nov 13, 2026

Creative Writing v3

1666

#39 of 96

Longform Writing

68.1

#45 of 97

EQ-Bench 3

1548

#9 of 49

UGI Leaderboard

UGI Leaderboard data, Apache-2.0 · Updated Oct 16, 2026

UGI Score

56.5

#15 of 149

UGI Willingness

3.2

#75 of 149

UGI Writing

52.5

#56 of 149

Filtered and ranked to models on NanoGPT.

Providers

Auto routing is available for this model. Explicit provider selection is not available.

Auto
Auto
Recommended
$0.40$1.80$0.20N/AN/A
Batch API
ProviderInputOutputCached input
Auto
Automoonshotai/kimi-k2-instruct
$0.40/M$1.80/M$0.20/M

Batch rows for this model use normal routing and cost the same as standard API requests. Set provider in a row to choose a provider.

Reliability

Related text models

Compare Kimi K2 Instruct with similar models from the same provider or model family.

Kimi K2 0905

moonshotai/Kimi-K2-Instruct-0905

Kimi K2 0905. Kimi-k2 is a Mixture-of-Experts (MoE) foundation model with exceptional coding and agent capabilities, featuring 1 trillion total parameters and 32 billion activated parameters. In benchmark evaluations covering general knowledge reasoning, programming, mathematics, and agent-related tasks, the K2 model outperforms other leading open-source models. Quantized at FP8.

Kimi K2 0711

moonshotai/kimi-k2-instruct-0711

Kimi K2 0711 version. Kimi-k2 is a Mixture-of-Experts (MoE) foundation model with exceptional coding and agent capabilities, featuring 1 trillion total parameters and 32 billion activated parameters. In benchmark evaluations covering general knowledge reasoning, programming, mathematics, and agent-related tasks, the K2 model outperforms other leading open-source models. Quantized at FP8.

Kimi K3.1 Pro

moonshotai/kimi-k3.1-pro

Kimi K3.1 Pro is a multimodal reasoning model for coding, 3D creation, document analysis and multi-step tool use. It supports a 1M-token context window and text, image and video inputs. Reasoning is always enabled, with low, high and max effort levels.

Kimi K3.1 Pro Highspeed

moonshotai/kimi-k3.1-pro-highspeed

Kimi K3.1 Pro Highspeed is the faster variant of K3.1 Pro, a multimodal reasoning model for coding, 3D creation, document analysis and multi-step tool use. It supports a 1M-token context window and text, image and video inputs. Reasoning is always enabled, with low, high and max effort levels.

Kimi K3

moonshotai/kimi-k3

Kimi K3 is Moonshot AI's open-weight, always-thinking multimodal model for long-context reasoning, coding, tool use, and native image/video understanding.

Kimi K2.7 Code High-Speed

moonshotai/kimi-k2.7-code-highspeed

Kimi K2.7 Code High-Speed is the accelerated coding-focused variant tuned for fast agentic software engineering. It targets roughly 180 tokens per second, with short-context responses reaching up to about 260 tokens per second for rapid coding iterations.