Moonshot AI, open weights

# Kimi K3

> Kimi K3 by Moonshot AI, released July 2026. Ranked #15 of 354 with a Noometry Index of 59.5. API: $3 in / $15 out per M tokens. 1.05M context. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/kimi-k3
- Last updated: 2026-10-10
- Title: Kimi K3 Benchmarks, Price & Rank (October 2026) | Noometry

Kimi K3 by Moonshot AI ranks 15th of 354 ranked models on the Noometry Index as of October 2026, with a score of 59.5. Its strongest category is writing & preference, where it ranks 4th. API pricing starts at $3 per million input tokens and $15 per million output tokens, with a 1.05M-token context window.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #15 of 354
- **Index score:** 59.5
- **Evidence:** Confirmed 53 results
- **Provider:** [Moonshot AI](https://noometry.com/providers/moonshot)
- **Released:** July 16, 2026
- **Weights:** Open weights
- **Reasoning:** Yes
- **Context window:** 1.05M
- **Max output:** 1.05M
- **Input price:** $3 / M
- **Output price:** $15 / M
- **Blended price:** $6 / M
- **Output speed:** Not measured
- **Value:** #185 of 219
- **Knowledge cutoff:** Unknown
- **Input:** text, image, video
- **Hugging Face:** [moonshotai/Kimi-K3](https://huggingface.co/moonshotai/Kimi-K3)

## Category scores

Each category score combines every public result we have in that category.

Kimi K3 category scores

1.  Coding 61.0
2.  Agentic & Tool Use 41.8
3.  Reasoning 63.0
4.  Math 74.2
5.  Knowledge 63.2
6.  Multimodal 37.8
7.  Multilingual 56.3
8.  Instruction Following 77.7
9.  Long Context 45.8
10.  Writing & Preference 76.6
11.  020406080

Kimi K3 category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 61.0 | #10 | 7 |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 41.8 | #20 | 5 |
| [Reasoning](https://noometry.com/best/reasoning) | 63.0 | #17 | 11 |
| [Math](https://noometry.com/best/math) | 74.2 | #16 | 6 |
| [Knowledge](https://noometry.com/best/knowledge) | 63.2 | #21 | 3 |
| [Multimodal](https://noometry.com/best/multimodal) | 37.8 | #70 | 2 |
| [Multilingual](https://noometry.com/best/multilingual) | 56.3 | #21 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 77.7 | #14 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 45.8 | #29 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 76.6 | #4 | 5 |

## Strengths and weaknesses

Categories where Kimi K3 places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

Kimi K3: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Writing & Preference](https://noometry.com/best/writing) | 76.6 | +22.8 | #4 of 312, top 2% |
| [Coding](https://noometry.com/best/coding) | 61.0 | +22.3 | #10 of 340, top 3% |
| [Instruction Following](https://noometry.com/best/instruction-following) | 77.7 | +6.5 | #14 of 305, top 5% |

### Weakest categories

Kimi K3: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Multimodal](https://noometry.com/best/multimodal) | 37.8 | −0.8 | #70 of 128, top 55% |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 41.8 | +11.5 | #20 of 154, top 13% |
| [Long Context](https://noometry.com/best/long-context) | 45.8 | +4.9 | #29 of 296, top 10% |

## Closest competitors

The models ranked just above and below Kimi K3. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to Kimi K3
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [Gemini 3.8 Flash](https://noometry.com/models/gemini-3-8-flash) | #11 | 61.8 | $1.50 | — | [Compare](https://noometry.com/compare/gemini-3-8-flash-vs-kimi-k3) |
| [GPT-6 Sol](https://noometry.com/models/gpt-6-sol) | #12 | 61.8 | $4 | — | [Compare](https://noometry.com/compare/gpt-6-sol-vs-kimi-k3) |
| [Claude Opus 4.8](https://noometry.com/models/claude-opus-4-8) | #13 | 60.7 | $10 | 34 | [Compare](https://noometry.com/compare/claude-opus-4-8-vs-kimi-k3) |
| [Gemini 3.7 Flash](https://noometry.com/models/gemini-3-7-flash) | #14 | 59.8 | $1.50 | — | [Compare](https://noometry.com/compare/gemini-3-7-flash-vs-kimi-k3) |
| [GPT-5.4](https://noometry.com/models/gpt-5-4) | #16 | 59.4 | $5.63 | 12 | [Compare](https://noometry.com/compare/gpt-5-4-vs-kimi-k3) |
| [GPT-5.6 Terra](https://noometry.com/models/gpt-5-6-terra) | #17 | 59.2 | $4.50 | 11 | [Compare](https://noometry.com/compare/gpt-5-6-terra-vs-kimi-k3) |
| [GPT-5.4 Pro](https://noometry.com/models/gpt-5-4-pro) | #18 | 58.9 | $67.50 | — | [Compare](https://noometry.com/compare/gpt-5-4-pro-vs-kimi-k3) |
| [Claude Opus 4.7](https://noometry.com/models/claude-opus-4-7) | #19 | 58.3 | $10 | 33 | [Compare](https://noometry.com/compare/claude-opus-4-7-vs-kimi-k3) |

Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise)

## Benchmark results

Every published result we track, with its source. Bold rows are the ones used for ranking; where several exist we prefer independent runs over self-reported numbers.

### Coding

Kimi K3 Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [DeepSWE](https://noometry.com/benchmarks/deepswe) | 68.5% | #10 of 29, top 35% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [FrontierCode](https://noometry.com/benchmarks/frontiercode) | 44.2% | #13 of 37, top 36% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena WebDev](https://noometry.com/benchmarks/arena-webdev) | 1654 | #11 of 113, top 10% |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| [FrontierSWE](https://noometry.com/benchmarks/frontierswe) | 25.9% | #11 of 18, top 62% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [SciCode](https://noometry.com/benchmarks/scicode) | 58.7% |  |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [SciCode](https://noometry.com/benchmarks/scicode) | 51.2% |  | low | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [SciCode](https://noometry.com/benchmarks/scicode) | 59.5% | #9 of 121, top 8% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [WeirdML](https://noometry.com/benchmarks/weirdml) | 82.6% | #9 of 119, top 8% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1508 | #12 of 294, top 5% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [ALE-Bench](https://noometry.com/benchmarks/ale-bench) | 1,524 | #16 of 105, top 16% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Agentic & Tool Use

Kimi K3 Agentic & Tool Use benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [APEX-Agents](https://noometry.com/benchmarks/apex-agents) | 50.6% | #25 of 49, top 52% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [τ²-bench Banking](https://noometry.com/benchmarks/tau2-banking) | 37.1% | #12 of 26, top 47% | max | [τ²-bench](https://taubench.com/) | 2026-08-04 |
| [PostTrainBench](https://noometry.com/benchmarks/posttrainbench) | 32% | #5 of 11, top 46% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [GBAEval](https://noometry.com/benchmarks/gbaeval) | 48.3% | #9 of 23, top 40% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [GDP.pdf](https://noometry.com/benchmarks/gdp-pdf) | 19% | #21 of 36, top 59% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Vending-Bench 2](https://noometry.com/benchmarks/vending-bench-2) | 5,165 | #27 of 60, top 45% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Reasoning

Kimi K3 Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [ARC-AGI-2](https://noometry.com/benchmarks/arc-agi-2) | 55% |  | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [ARC-AGI-2](https://noometry.com/benchmarks/arc-agi-2) | 12.4% |  | low | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [ARC-AGI-2](https://noometry.com/benchmarks/arc-agi-2) | 60.4% | #29 of 83, top 35% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [SimpleBench](https://noometry.com/benchmarks/simplebench) | 60.7% | #23 of 77, top 30% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [NYT Connections (extended)](https://noometry.com/benchmarks/nyt-connections) | 93.6% | #10 of 91, top 11% |  | [Lech Mazur benchmarks](https://github.com/lechmazur/nyt-connections) |  |
| [ARC-AGI-1](https://noometry.com/benchmarks/arc-agi-1) | 86.7% |  | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [ARC-AGI-1](https://noometry.com/benchmarks/arc-agi-1) | 65.7% |  | low | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [ARC-AGI-1](https://noometry.com/benchmarks/arc-agi-1) | 94.5% | #17 of 83, top 21% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CritPt](https://noometry.com/benchmarks/critpt) | 3.1% |  | low | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CritPt](https://noometry.com/benchmarks/critpt) | 23.4% | #19 of 134, top 15% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Chess Puzzles](https://noometry.com/benchmarks/chess-puzzles) | 25% |  | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| [Chess Puzzles](https://noometry.com/benchmarks/chess-puzzles) | 20% |  | low | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| [Chess Puzzles](https://noometry.com/benchmarks/chess-puzzles) | 39% | #23 of 129, top 18% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-16 |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1496 | #12 of 297, top 5% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [Mystery Game Puzzles](https://noometry.com/benchmarks/mystery-game-puzzles) | 12% |  | low | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-29 |
| [Mystery Game Puzzles](https://noometry.com/benchmarks/mystery-game-puzzles) | 26% | #32 of 74, top 44% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-29 |
| [DTBench](https://noometry.com/benchmarks/dtbench) | 91.2% | #31 of 151, top 21% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMCA](https://noometry.com/benchmarks/lmca) | 52.7% | #17 of 125, top 14% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Surface Evolver Bench](https://noometry.com/benchmarks/surface-evolver-bench) | 95% | #2 of 25, top 8% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Surface Evolver Bench](https://noometry.com/benchmarks/surface-evolver-bench) | 93% |  | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Epoch Capabilities Index](https://noometry.com/benchmarks/epoch-capabilities-index) | 157.45 | #15 of 213, top 8% |  | [Epoch AI](https://epoch.ai/eci) | 2026-07-16 |
| [ForecastBench](https://noometry.com/benchmarks/forecastbench) | 61.1 | #17 of 72, top 24% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Math

Kimi K3 Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [FrontierMath (Tiers 1-3)](https://noometry.com/benchmarks/frontiermath) | 72.2% | #22 of 81, top 28% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-17 |
| [FrontierMath Tier 4](https://noometry.com/benchmarks/frontiermath-tier-4) | 39% | #23 of 63, top 37% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-17 |
| [MathArena Final-Answer Competitions](https://noometry.com/benchmarks/matharena) | 87.8% | #3 of 29, top 11% | think | [MathArena](https://matharena.ai/) |  |
| [OTIS Mock AIME 2024-2025](https://noometry.com/benchmarks/otis-mock-aime) | 93.3% |  | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| [OTIS Mock AIME 2024-2025](https://noometry.com/benchmarks/otis-mock-aime) | 68.9% |  | low | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| [OTIS Mock AIME 2024-2025](https://noometry.com/benchmarks/otis-mock-aime) | 97.2% | #28 of 173, top 17% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-16 |
| [ProofBench](https://noometry.com/benchmarks/proofbench) | 87% | #9 of 77, top 12% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1491 | #17 of 285, top 6% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Knowledge

Kimi K3 Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 91.9% |  | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 84.8% |  | low | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 93.1% | #18 of 186, top 10% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-16 |
| [SimpleQA Verified](https://noometry.com/benchmarks/simpleqa-verified) | 50.6% | #24 of 77, top 32% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1521 | #10 of 273, top 4% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Multimodal

Kimi K3 Multimodal benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Blueprint-Bench 2](https://noometry.com/benchmarks/blueprint-bench-2) | 29.5% | #17 of 31, top 55% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Furniture Assembly](https://noometry.com/benchmarks/furniture-assembly) | 34.2% | #20 of 31, top 65% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-11 |

### Multilingual

Kimi K3 Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1466 | #21 of 297, top 8% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1529 | #15 of 285, top 6% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1491 | #19 of 223, top 9% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1488 | #14 of 231, top 7% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Japanese](https://noometry.com/benchmarks/arena-japanese) | 1487 | #11 of 211, top 6% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Korean](https://noometry.com/benchmarks/arena-korean) | 1458 | #14 of 213, top 7% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1482 | #18 of 283, top 7% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1472 | #20 of 226, top 9% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

Kimi K3 Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1483 | #11 of 298, top 4% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

Kimi K3 Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1494 | #11 of 291, top 4% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

Kimi K3 Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1476 | #20 of 297, top 7% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1454 | #25 of 295, top 9% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [EQ-Bench Creative Writing](https://noometry.com/benchmarks/eqbench-creative-writing) | 2082 | #5 of 115, top 5% |  | [EQ-Bench](https://eqbench.com/creative_writing.html) |  |
| [EQ-Bench 4](https://noometry.com/benchmarks/eqbench-4) | 1339 | #3 of 28, top 11% |  | [EQ-Bench](https://eqbench.com/) |  |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1488 | #13 of 295, top 5% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## API pricing by provider

Kimi K3 API prices
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
| --- | --- | --- | --- | --- |
| [alibaba](https://www.alibabacloud.com/help/en/model-studio/models) | $3 | $15 | $0.30 | 2026-10-10 |
| [bedrock](https://docs.aws.amazon.com/bedrock/latest/userguide/models-supported.html) | $3 | $15 | $0.30 | 2026-10-10 |
| [deepinfra](https://deepinfra.com/models) | $2.85 | $14.25 | $0.28 | 2026-10-10 |
| [fireworks](https://fireworks.ai/docs/) | $3 | $15 | $0.30 | 2026-10-10 |
| [moonshot](https://platform.moonshot.ai/docs/api/chat) | $3 | $15 | $0.30 | 2026-10-10 |
| [openrouter](https://openrouter.ai/moonshotai/kimi-k3) | $0.50 | $13.50 | $0.28 | 2026-10-10 |
| [together](https://docs.together.ai/docs/serverless-models) | $3 | $15 | $0.30 | 2026-10-10 |

[All Moonshot AI API prices →](https://noometry.com/llm-pricing/moonshot) [Estimate your cost →](https://noometry.com/tools/cost-calculator)

## Compare Kimi K3

-   [Kimi K3 vs Kimi K2.6](https://noometry.com/compare/kimi-k2-6-vs-kimi-k3)
-   [Kimi K3 vs Gemini 3.7 Flash](https://noometry.com/compare/gemini-3-7-flash-vs-kimi-k3)
-   [Kimi K3 vs GPT-5.4](https://noometry.com/compare/gpt-5-4-vs-kimi-k3)
-   [Kimi K3 vs Claude Opus 4.8](https://noometry.com/compare/claude-opus-4-8-vs-kimi-k3)
-   [Kimi K3 vs GPT-5.6 Terra](https://noometry.com/compare/gpt-5-6-terra-vs-kimi-k3)
-   [Kimi K3 vs GPT-6 Sol](https://noometry.com/compare/gpt-6-sol-vs-kimi-k3)
-   [Kimi K3 vs GPT-5.4 Pro](https://noometry.com/compare/gpt-5-4-pro-vs-kimi-k3)
-   [Kimi K3 vs GPT-6 Astra](https://noometry.com/compare/gpt-6-astra-vs-kimi-k3)
-   [Kimi K3 vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-kimi-k3)
-   [Kimi K3 vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-kimi-k3)
-   [Kimi K3 vs Grok 4.6](https://noometry.com/compare/grok-4-6-vs-kimi-k3)
-   [Kimi K3 vs Qwen3.8 Max](https://noometry.com/compare/kimi-k3-vs-qwen3-8-max)
-   [Kimi K3 vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-kimi-k3)
-   [Kimi K3 vs Muse Spark 1.3](https://noometry.com/compare/kimi-k3-vs-muse-spark-1-3)

## Other Moonshot AI models

-   [Kimi K2.5](https://noometry.com/models/kimi-k2-5)48.1
-   [Kimi K2.6](https://noometry.com/models/kimi-k2-6)47.7
-   [Kimi K2 Thinking Turbo](https://noometry.com/models/kimi-k2-thinking-turbo)45.8
-   [Kimi K2.5 Instant](https://noometry.com/models/kimi-k2-5-instant)43.6
-   [Kimi K2.7 Code](https://noometry.com/models/kimi-k2-7-code)43.3
-   [Kimi K2 (Jul 2025)](https://noometry.com/models/kimi-k2)41.2
-   [Kimi K2.7 Code HighSpeed](https://noometry.com/models/kimi-k2-7-code-highspeed)

## Frequently asked questions

### How good is Kimi K3?

Kimi K3 by Moonshot AI ranks 15th of 354 ranked models on the Noometry Index as of October 2026, with a score of 59.5. Its strongest category is writing & preference, where it ranks 4th. API pricing starts at $3 per million input tokens and $15 per million output tokens, with a 1.05M-token context window.

### How much does Kimi K3 cost?

Kimi K3 costs $3 per million input tokens and $15 per million output tokens on Moonshot AI's own API, with cached input at $0.30.

### What is Kimi K3's context window?

Kimi K3 accepts up to 1.05M tokens of input and can write up to 1.05M tokens in one response.

### Is Kimi K3 open source?

Yes. Kimi K3's weights are downloadable from Hugging Face (moonshotai/Kimi-K3); check the license for commercial terms.

### What are Kimi K3's strengths and weaknesses?

Relative to other ranked models, Kimi K3 places best in writing & preference, coding, instruction following and lowest in multimodal, agentic & tool use, long context.

### What is Kimi K3 best at?

Its best category is writing & preference, where it ranks 4th on Noometry.

### Cite this page

Noometry. (2026). Kimi K3 benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/kimi-k3

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/kimi-k3.md).