Models
Kimi-K2-Instruct
by Moonshotai
Kimi model for long-context chat, coding, and agentic reasoning.
Our verdict
We have not reviewed Kimi-K2-Instruct yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About Kimi-K2-Instruct
Kimi model for long-context chat, coding, and agentic reasoning.
Notes
Kimi-K2-Instruct is listed in the EDNA Models directory, sourced from models.dev.
Key facts
What we have checked
- Time to first token (ms)
- 1,900
- Output speed (tokens a second)
- 42.8
- Terminal bench
- 27.8% (for 12 July 2025)
- Aider polyglot
- 59.1% (for 12 July 2025)
- Fiction livebench
- 61.1% (for 12 July 2025)
- Gso bench
- 4.9% (for 12 July 2025)
- Lech mazur writing
- 85.6% (for 12 July 2025)
- Simplebench
- 26.3% (for 12 July 2025)
- Weirdml
- 39.4% (for 12 July 2025)
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
API access
How to call it
Call via other with model id `moonshotai/Kimi-K2-Instruct`.
- other ·
moonshotai/Kimi-K2-Instruct
Scores
How Kimi-K2-Instruct scores
Each score comes from the named source and shows when we last confirmed it. A flag means the score needs care.
| Score | Value | Source | Checked |
|---|---|---|---|
| Aider polyglot (best-across-versions) | 59.1percentAs of 12 July 2025 | Epoch AI (CC BY 4.0) | |
| Fiction livebench (best-across-versions) | 61.1percentAs of 12 July 2025 | Epoch AI (CC BY 4.0) | |
| Gso bench (best-across-versions) | 4.9percentAs of 12 July 2025 | Epoch AI (CC BY 4.0) | |
| Lech mazur writing (best-across-versions) | 85.6percentAs of 12 July 2025 | Epoch AI (CC BY 4.0) | |
| Simplebench (best-across-versions) | 26.3percentAs of 12 July 2025 | Epoch AI (CC BY 4.0) | |
| Terminal bench (best-across-versions) | 27.8percentAs of 12 July 2025 | Epoch AI (CC BY 4.0) | |
| Weirdml (best-across-versions) | 39.4percentAs of 12 July 2025 | Epoch AI (CC BY 4.0) |
Sources
Where this comes from
- Artificial AnalysisThird party
- Epoch AI (CC BY 4.0)Third party
- Epoch AI (CC BY 4.0)Third party
- Epoch AI (CC BY 4.0)Third party
- Epoch AI (CC BY 4.0)Third party
- Epoch AI (CC BY 4.0)Third party
- Epoch AI (CC BY 4.0)Third party
- Epoch AI (CC BY 4.0)Third party
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.
MODEL FIELD GUIDE / SOURCE EVIDENCE
What you can do with Kimi-K2-Instruct.
Listed specifications; no EDNA task evaluation has been run. Sources checked 2026-11-07. Hosting routes and app features can differ.
moonshotai/Kimi-K2-Instruct- Tool calling
- Listed support
- Structured output
- Not established
- Reasoning controls
- Not established
- Availability
- available
- Price basis
- token
- Licence verification
- Check the developer licence; the model name is insufficient
- Context length
- 131K tokens
- Knowledge cutoff
- 1 Oct 2024
- Developer release date
- Not established
- First seen in the catalogue
- Not established
- Listed retirement date
- Not established
Inspect the sources and their scope
moonshotai/Kimi-K2-Instruct: listed by one provider on models.dev (huggingface); a fact is kept only where the listings agree. Hosting routes can differ.
Checked 2026-11-07Source for tool calling, context length, input, knowledge cutoff, output.
Checked 2026-11-07FROM SPECIFICATIONS TO YOUR WORK
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Working out the cost...
Token prices only. Per-request, image, tool, storage and subscription fees are not included. One token is about three quarters of an English word. Real counts vary by model and language. How tokens are counted ↗
Check the source
Price date: 13 Jul 2026, from the models.dev listing. Prices are USD API token rates. Your app subscription, uploads, browsing and tools are separate.
Model source & availability ↗Understand the evidence
Listed capabilities and third-party benchmark scores do not establish Enterprise DNA task-test results. Validate accuracy and total cost on your own sample.
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