AI model reference · 2026
Kimi K2 0711
Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass.
- Context window
- 131,072 tokens
- Maximum output
- 100,352 tokens
- Base provider API input
- $0.57 / 1M tokens
- Base provider API rate
- Published evidence
- 1 benchmark, 0 Arena results
Overview
About Kimi K2 0711
A concise catalog overview. Technical limits and published evaluation evidence are listed separately below.
Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass.
Published evaluations
Benchmark results
Only results mapped to this exact model and backed by a named source appear here. Different evaluation protocols are not treated as interchangeable.
| Benchmark | Score | Evaluation details | Source |
|---|---|---|---|
| SWE-Bench VerifiedA human-validated subset of real GitHub issues used to measure whether a coding agent can produce repository patches that resolve the associated tests. | 43.8% | ResolvedVersion: SWE-Bench Verified 500 · Split: Verified, 500 tasks · Harness: mini-SWE-agent / version 1.7.0 · Attempts: One attemptProtocol note: Harness version: 1.7.0; Run date: 2025-08-07Methodology | SWE-benchBenchmark owner |
Human preference
Arena results
Arena scores come from blind human preference votes. They are reported separately from task benchmarks and are not used as substitutes for missing benchmark results.
No exact Arena match is available for this model. Similar names and provider variants are not merged automatically.
Technical reference
Specifications and API facts
Technical limits and reference provider prices come from the current catalog unless a reviewed external source is listed. Missing values stay marked as unavailable.
- Provider
- Moonshot AI
- Release date
- Not available in reviewed sources
- Catalog added
- Jul 11, 2025
- Context window
- 131,072 tokens
- Maximum output
- 100,352 tokens
- Knowledge cutoff
- 2024-12-31
- License
- Not available in reviewed sources
- Input types
- Text
- Output types
- Text
- Reasoning
- Not supported
- Provider endpoint tool parameters
- Accepts tool parameters
- Base provider API input
- $0.57 / 1M tokens
- Base provider cached input
- Not available
- Base provider API output
- $2.30 / 1M tokens
These are reference provider API rates, not Writingmate checkout charges. Access in Writingmate follows the allowances of your Writingmate plan.
Provenance
Sources and update status
Source links are attached to the facts and evaluations they support. Catalog-only values are not presented as independently verified claims.
- SWE-bench Verified Bash Only LeaderboardSWE-bench · Retrieved Aug 9, 2026
- OpenRouter model catalogOpenRouter
Evidence last updated Aug 9, 2026.
Catalog record updated Jul 11, 2025.
Catalog-added dates describe when a model entered the catalog, not necessarily its public release date.
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