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KIMI K2.6 vs DeepSeek V4

Comprehensive comparison between Moonshot AI's KIMI K2.6 and DeepSeek's DeepSeek V4. Compare pricing, performance, features, and user reviews.

kimi k2.6 vs deepseek v4chinese open source comparisonmoonshot vs deepseekbest chinese open llm 2026

KIMI K2.6

Moonshot AI

Moonshot AI's latest open-weight flagship released April 13, 2026. A 1T-parameter MoE with 32B active per token and 256K context. Can dynamically scale to 300 sub-agents executing 4,000 coordinated steps, supporting 12-hour coding sessions. Outperforms GPT-5.4 and Claude Opus 4.6 on several coding benchmarks while being 5-6x cheaper than Sonnet 4.6.

$0.6/$2.5per M tokens
Details

DeepSeek V4

DeepSeek

DeepSeek's trillion-parameter MoE model with only 32B active parameters. 1M context window, native multimodal (text/image/video), and API pricing at ~1/20th of GPT-5. The fastest adopted open-source model in history, capturing 6% global market share within months.

$0.14/$0.28per M tokens
Details

Specs Comparison

SpecificationKIMI K2.6DeepSeek V4
Context Window256K1000K
Max Output0K66K
Input (per 1M tokens)$0.60$0.14
Output (per 1M tokens)$2.50$0.28
Reasoning
Open Source

Scenario Score Comparison

Coding
93
vs
—
Writing
76
vs
—
Translation
80
vs
—
Research
81
vs
—
App Building
86
vs
—

KIMI K2.6

Pros

  • + Open-weight from day 1
  • + Leads SWE-Bench Verified at 80.2%
  • + 5-6x cheaper than Claude Sonnet 4.6
  • + 300 parallel sub-agents (3x K2.5)
  • + 12-hour autonomous coding sessions

Cons

  • − Text only, no multimodal yet
  • − 1T params require serious GPU infrastructure to self-host
  • − Community data still limited (released just days ago)

DeepSeek V4

Pros

  • + 1M token context window
  • + Native multimodal (text/image/video)
  • + Price 1/20th of proprietary models
  • + Open-source & self-hostable
  • + Matches frontier model performance

Cons

  • − Servers in China (latency for overseas users)
  • − Geopolitical supply chain concerns
  • − Self-hosting requires significant hardware

Recommendation

Choose KIMI K2.6 if you:

  • • Need open-weight from day 1
  • • Need leads swe-bench verified at 80.2%
  • • Need 5-6x cheaper than claude sonnet 4.6

Choose DeepSeek V4 if you:

  • • Need 1m token context window
  • • Need native multimodal (text/image/video)
  • • Need price 1/20th of proprietary models

Based on scores across 5 scenarios, KIMI K2.6 performs better overall.

KIMI K2.6 Details DeepSeek V4 Details

Get Started with KIMI K2.6

1Visit the provider's website
2Create an account
3Start using the model

Get Started with DeepSeek V4

1Visit the provider's website
2Create an account
3Start using the model

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