Kimi K2.6
Kimi K2.6 is a large-scale reasoning model developed by Moonshot AI. It boasts a massive scale with approximately 10 trillion parameters and an extensive context window of 256K.
Parameters
10000.0B
Context Window
256K
License
https://huggingface.co/moonshotai/Kimi-K2-Base/raw/main/LICENSE
Release Date
2026-04-20
API Pricing
Input Price (per 1M tokens)
$0.95
Output Price (per 1M tokens)
$
Billing Mode: standard
Strengths
- ・Massive 10-trillion parameter scale
- ・Achieves advanced reasoning capabilities
- ・Long-context processing of 256K tokens
Weaknesses
- ・Closed licensing format
- ・Load from massive parameters
- ・Lack of detailed performance metrics
Use Cases
- ・Complex logical reasoning tasks
- ・Ultra-long document analysis
- ・Processing advanced specialized knowledge
Deep Analysis
Arena Elo (Text Overall)
1462
#14 provisional on BenchLM; 1529 on Code Arena WebDev (#6 of 67)
SWE-Bench Pro
58.6%
Leads Claude Opus 4.6 (53.4%) and GPT-5.4 (57.7%)
SWE-Bench Verified
80.2%
Effectively tied with Claude (80.8%) and Gemini (80.6%)
GPQA-Diamond
90.5%
vs GPT-5.4: 92.8%, Gemini 3.1 Pro: 94.3%
API Price (Input/Output)
$0.95 / $4.00 per 1M tokens
Moonshot official: $0.60 / $2.50; ~5–25× cheaper than Claude Opus 4.6
Context Window
256K tokens (262,144)
With automatic compression; supports 12-hour autonomous sessions
Strengths
- ・Best-in-class agentic coding performance: leads SWE-Bench Pro (58.6%), HLE-Full with tools (54.0%), and DeepSearchQA (92.5 f1) among all models tested
- ・Unmatched cost efficiency: 5–25× cheaper than proprietary frontier models with open-weight self-hosting under Modified MIT license
- ・Native 300-agent swarm orchestration with 4,000 coordinated steps enables multi-day autonomous engineering workflows no competitor replicates
Weaknesses
- ・Lags 3–5 points behind GPT-5.4 and Gemini on pure reasoning benchmarks (HLE-Full without tools: 34.7 vs 39.8/44.4; AIME: 96.4 vs 99.2)
- ・Requires minimum 8×H100-80G GPUs for self-hosting (595 GB weights), making local deployment impractical for smaller teams
- ・Higher hallucination rate (39.26%) than GPT-5.4 on general knowledge benchmarks, though significantly improved from K2.5 (64.6%)
Competitor Comparison
| Model | Arena | GPQA | Price |
|---|---|---|---|
| Claude Opus 4.6 | 1548–1565 | 91.3% | $15/$75 per 1M |
| GPT-5.4 (xhigh) | N/A | 92.8% | $2.50/$15 per 1M |
| Gemini 3.1 Pro | N/A | 94.3% | ~$1.25/$5 per 1M |
Sources
- Kimi K2.6 | Open Model for Long-Horizon Coding and Agents (Replicate)
- Kimi K2.6 - Agentic Coding AI | 12-Hour Runs | 300-Agent Swarms (kimi-k2.org)
- Kimi K2.6 Matches Open Qwen3.6 Max and DeepSeek V4 (DeepLearning.ai The Batch)
- Kimi K2.6 Benchmarks: How It Compares to Claude Opus 4.6, GPT-5.4 and Gemini 3.1 Pro (Hyperstack)
- Kimi K2.6 Benchmarks 2026: Scores, Rankings & Performance (BenchLM.ai)
- Kimi K2.6 vs Claude Opus 4.6 vs GPT-5.4 vs Gemini 3.1 Pro (Lushbinary)
- Kimi K2 Review After 30 Days of Coding Tests and Agent Work (RoboRhythms)
- Kimi K2.6 Benchmark: Results vs GPT-5.4, Claude, Gemini, and K2.5 (Zenn.dev)
- Kimi K2.6 on AI Gateway (Vercel Changelog)
Analysis generated: 2026-05-23