Kimi K2 0711
Moonshot AIhuggingface.co/moonshotai/Kimi-K2-Instruct
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. It is optimized for...
Updated 42 min ago · first seen 11 Sept 2026
model_01M294WWEQ9X2ZZWXFGSXE4QWT
- Parameters
- 1.03T
- T2 · 2 h ago
- Context
- 128K tokens
- T2 · 42 min ago
- Released
- 11 Jul 2025
- T2 · 2 h ago
- License
- other
- T2 · 2 h ago
- Knowledge cutoff
- Dec 2024
- T2 · 2 h ago
Specification
- Release date
- 11 Jul 2025
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Status
- deprecated
Source:Artificial AnalysisT2observed 42 min agomedium
- Openness
- open-weights
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- License
- other
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Architecture
- DeepseekV3ForCausalLM
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Parameters
- 1.03T
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Context window
- 128K tokens
Source:Artificial AnalysisT2observed 42 min agomedium
- Max output
- 100.3K tokens
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Knowledge cutoff
- Dec 2024
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Modalities
- text
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Input modalities
- text
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Output modalities
- text
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Quantization format
- fp8
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- File size
- 1029.2 GB
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Hugging Face repo
- moonshotai/Kimi-K2-Instruct
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Pipeline tag
- text-generation
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Model card
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Downloads
- 173,023
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Likes
- 2,377
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Gated
- No
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Hf inference providers
- featherless-ai, novita
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Is quantized
- Yes
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Last modified
- 2026-04-23T02:08:36+00:00
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Library name
- transformers
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- License name
- modified-mit
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 57 min agomedium
- Aa median output tokens per second
- 40
Source:Artificial AnalysisT2observed 42 min agomedium
- Downloads all time
- 4,057,161
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Model type
- kimi_k2
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Openrouter id
- moonshotai/kimi-k2
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Supported parameters
- frequency_penalty, max_tokens, presence_penalty, repetition_penalty, seed, stop, temperature, tool_choice, tools, top_k, top_p
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Tags
- transformers, safetensors, kimi_k2, text-generation, custom_code, fp8
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Weights dtype
- BF16, F32, F8_E4M3
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
Each value shows its source, tier and observation time. Conflicting claims are kept side by side and flagged — never averaged. How AI Atlas records facts →
Provenance
Attributed facts
36
Source tiers
T236
Freshest observation
42 min ago
Conflicts
None
Modalities
- Modalities
- text
- Input
- text
- Output
- text
Capabilities
Tool calling
Yes
OpenRouter public model & pricing listing · T2
Structured output
No
OpenRouter public model & pricing listing · T2
Reasoning
No
Artificial Analysis · T2
Vision
Unavailable
Audio
Unavailable
Fine-tuning available
Unavailable
- Context window
- 128K tokens
Source:Artificial AnalysisT2observed 42 min agomedium
- Max output
- 100.3K tokens
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Knowledge cutoff
- Dec 2024
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
| Benchmark | Score | Metric | Config | Evaluated | Source |
|---|---|---|---|---|---|
| τ²-bench | 61.11% | pass^1 | aa_slug=kimi-k2 · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Aider polyglot | 92.9% | percent_cases_well_formed | date=2025-07-17 · command=aider --model openrouter/moonshotai/kimi-k2 · dirname=2025-07-17-17-41-54--kimi-k2-diff-or-pricing · versions=0.85.3.dev | 17 Jul 2025 | aider.chatT2 |
| Aider polyglot | 59.1% | pass_rate_2 | date=2025-07-17 · command=aider --model openrouter/moonshotai/kimi-k2 · dirname=2025-07-17-17-41-54--kimi-k2-diff-or-pricing · versions=0.85.3.dev | 17 Jul 2025 | aider.chatT2 |
| Artificial Analysis Intelligence Index | 12.72 | index | aa_slug=kimi-k2 · version=4.3 · estimated=true | — | artificialanalysis.aiT2 |
| GPQA | 76.57% | accuracy | aa_slug=kimi-k2 · variant=GPQA Diamond · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Humanity's Last Exam | 7.41% | accuracy | aa_slug=kimi-k2 · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| IFBench | 41.5% | accuracy | aa_slug=kimi-k2 · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| SWE-bench Verified | 71.2% | resolved | date=2025-10-14 · board=Verified · system=Lingxi v1.5 · model_tag=kimi-k2-0905-preview | 14 Oct 2025 | swebench.comT2 |
| SWE-bench Verified | 53.4% | resolved | date=2025-08-04 · board=Verified · system=CodeSweep - SWE-agent · model_tag=kimi-k2-instruct | 4 Aug 2025 | swebench.comT2 |
| SWE-bench Verified | 65.4% | resolved | date=2025-07-16 · board=Verified · system=OpenHands · model_tag=moonshot/kimi-k2-0711-preview | 16 Jul 2025 | swebench.comT2 |
| SWE-bench Verified | 43.8% | resolved | date=2025-08-07 · board=Verified · system=mini-SWE-agent · model_tag=Kimi-K2-Instruct | 7 Aug 2025 | swebench.comT2 |
| Terminal-Bench | 15.91% | accuracy | aa_slug=kimi-k2 · variant=hard · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
Scores are reported as published, with their evaluation configuration (harness, prompting, judge). Results with different configs are not directly comparable — see methodology.
Current prices
| Provider | Input / 1M | Output / 1M | Cached in | Batch in / out | Context | Observed | Source |
|---|---|---|---|---|---|---|---|
| Moonshot AI Platformmoonshotai/kimi-k2 | $0.57 | $2.3 | — | — | 131.1K | 46 min ago | openrouter.aiT2 |
USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.
Available through 1
Price history
Input price · USD / 1M tokens
Output price · USD / 1M tokens
- Moonshot AI Platform
Memory need = bytes per parameter (4-bit ≈ 0.5 × 1.15 overhead, 8-bit 1.0, fp16 2.0) + a KV-cache allowance. Not a measurement.
| Hardware | Quantization | Memory | Est. need | Fits |
|---|---|---|---|---|
| NVIDIA DGX B200 | 4bit | 1,440 GB | 590.7 GB | Yes |
| Apple M3 Ultra | 4bit | — | 590.7 GB | No |
| Mac Studio (Apple M5 Ultra) | 4bit | — | 590.7 GB | No |
| AMD Instinct MI325X | 4bit | 256 GB | 590.7 GB | No |
| AMD Instinct MI300X | 4bit | 192 GB | 590.7 GB | No |
| Apple M2 Ultra | 4bit | — | 590.7 GB | No |
| NVIDIA B200 | 4bit | 180 GB | 590.7 GB | No |
| NVIDIA H200 | 4bit | 141 GB | 590.7 GB | No |
| NVIDIA H200 NVL | 4bit | 141 GB | 590.7 GB | No |
| Apple M1 Ultra | 4bit | — | 590.7 GB | No |
| Apple M3 Max | 4bit | — | 590.7 GB | No |
| Apple M4 Max | 4bit | — | 590.7 GB | No |
| Mac Studio (Apple M5 Max) | 4bit | — | 590.7 GB | No |
| MacBook Pro (Apple M5 Max) | 4bit | — | 590.7 GB | No |
| NVIDIA DGX Spark | 4bit | 128 GB | 590.7 GB | No |
| Apple M2 Max | 4bit | — | 590.7 GB | No |
| NVIDIA H100 NVL | 4bit | 94 GB | 590.7 GB | No |
| NVIDIA A100 80GB | 4bit | 80 GB | 590.7 GB | No |
| NVIDIA H100 SXM | 4bit | 80 GB | 590.7 GB | No |
| Apple M1 Max | 4bit | — | 590.7 GB | No |
| Apple M4 Pro | 4bit | — | 590.7 GB | No |
| Mac mini (Apple M5 Pro) | 4bit | — | 590.7 GB | No |
| MacBook Pro (Apple M5 Pro) | 4bit | — | 590.7 GB | No |
| Apple M3 Pro | 4bit | — | 590.7 GB | No |
| Apple M1 Pro | 4bit | — | 590.7 GB | No |
| Apple M2 Pro | 4bit | — | 590.7 GB | No |
| Apple M4 | 4bit | — | 590.7 GB | No |
| iMac (Apple M4) | 4bit | — | 590.7 GB | No |
| Mac mini (Apple M6) | 4bit | — | 590.7 GB | No |
| MacBook Air (Apple M5) | 4bit | — | 590.7 GB | No |
| MacBook Pro (Apple M5) | 4bit | — | 590.7 GB | No |
| NVIDIA GeForce RTX 5090 | 4bit | 32 GB | 590.7 GB | No |
| Apple M2 | 4bit | — | 590.7 GB | No |
| Apple M3 | 4bit | — | 590.7 GB | No |
| NVIDIA GeForce RTX 3090 | 4bit | 24 GB | 590.7 GB | No |
| NVIDIA GeForce RTX 4090 | 4bit | 24 GB | 590.7 GB | No |
| Apple M1 | 4bit | — | 590.7 GB | No |
No lineage recorded
Papers 0
No papers linked yet.
Repositories 0
No repositories linked yet.
As of
Rewind the record: see this entity's attributes exactly as AI Atlas knew them on a given day.
Claim history · Quantization format
Quantization formatquant_format1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| fp8 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
Kimi K2 0711 scores 43.8% on SWE-bench Verified
swebench_leaderboardKimi K2 0711 scores 53.4% on SWE-bench Verified
swebench_leaderboardKimi K2 0711 scores 65.4% on SWE-bench Verified
swebench_leaderboardKimi K2 0711 scores 71.2% on SWE-bench Verified
swebench_leaderboardKimi K2 0711 scores 15.91% on Terminal-Bench
artificial_analysisKimi K2 0711 scores 61.11% on τ²-bench
artificial_analysisKimi K2 0711 scores 7.41% on Humanity's Last Exam
artificial_analysisKimi K2 0711 scores 12.72 on Artificial Analysis Intelligence Index
artificial_analysisKimi K2 0711: context length changed from 131072 to 128000
Context window131.1K tokens→128K tokensartificial_analysisKimi K2 0711 scores 92.9% on Aider polyglot
aider_leaderboardKimi K2 0711 scores 59.1% on Aider polyglot
aider_leaderboardMoonshot AI Platform lists Kimi K2 0711 at $0.57 in / $2.3 out per 1M tokens
openrouter
| Source | Document | Type | Tier | Last observed | Snapshots |
|---|---|---|---|---|---|
| SWE-bench leaderboards | swebench.com/ | leaderboard | T2· Quality secondary | 37 min ago | 1 |
| Artificial Analysis | artificialanalysis.ai/leaderboards/models | leaderboard | T2· Quality secondary | 42 min ago | 1 |
| Aider polyglot leaderboard (data file on GitHub) | raw.githubusercontent.com/Aider-AI/aider/main/aider/website/_data/polyglot_leaderboard.yml | leaderboard | T2· Quality secondary | 42 min ago | 1 |
| OpenRouter public model & pricing listing | openrouter.ai/api/v1/models | catalogue | T2· Quality secondary | 46 min ago | 2 |
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/moonshotai/Kimi-K2-Instruct/raw/main/README.md | model_card | T2· Quality secondary | 56 min ago | 1 |
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/moonshotai/Kimi-K2-Instruct | model_page | T2· Quality secondary | 2 h ago | 2 |
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/models?author=moonshotai&p=0&sort=downloads | listing | T2· Quality secondary | 2 h ago | 2 |
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.