# Kimi K3 Review & Benchmarks (2026): Price, Context, Specs | Alher Tech

> Kimi K3 by Moonshot AI: benchmarks, pricing, context window, strengths and use cases. Data from official benchmark sources.

- Canonical page: https://alhertech.com/en/ai-comparison/kimi-k3/
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Last updated: July 18, 2026

## Specs

- **Vendor**: Moonshot AI
- **Released**: July 17, 2026
- **Context window**: 1M tokens
- **Input**: $3 / M tokens
- **Output**: $15 / M tokens

## Benchmarks

- **mmlu**: 94
- **gpqa**: 87.5
- **humanEval**: 96.5
- **arenaElo**: 1478
- **sweBench**: 75.5
- **sweBenchPro**: 70
- **liveCodeBench**: 84.5
- **aiderPolyglot**: 83
- **terminalBench**: 49
- **mmluPro**: 88
- **hle**: 26
- **aime**: 92
- **math500**: 97
- **mmmu**: 80

## Strengths

- Largest open-weight model ever (2.8T MoE, 16 of 896 experts). Frontier-class results at a third of closed-flagship pricing
- 1M context with native text, image and video understanding and always-on reasoning
- Weights due July 27, 2026 under a modified MIT license. Self-hosting and EU data residency become possible

## Weaknesses

- Most launch benchmarks are self-reported; independent replication has barely started
- Moonshot acknowledges excessive proactiveness in task execution and sensitivity to preserved thinking history
- Serving a 2.8T MoE yourself demands serious infrastructure; hosted capacity outside China is still ramping

## Best for

- Cost-sensitive agentic coding and long-context workloads near the frontier
- Teams that need open weights for compliance, data residency or on-prem deployment
- High-volume products routing bulk traffic away from premium closed flagships

[Compare with other AI models](https://alhertech.com/en/ai-comparison/)