Language modelOpen source

Kimi K2 0905

Moonshot AI

Released: September 5, 2025
Data date: September 8, 2026
Predecessor: Kimi K2 0711

Benchmark-Meta-Score: Unavailable
Fewer than eight test series
Speed: 40 tokens/s
Output throughput
Price: $0.6 · $2.5
Input · Output / 1M tokens
Input: Text
Output: Text

New in Kimi K2 0905 is the 262,144-token context window compared with Kimi K2 0711. The underlying K2 mixture-of-experts design remains an open model with 1 trillion total parameters and 32 billion active parameters for dialogue, coding, and tool use.

The official kimi-k2-0905-preview API entry has been discontinued since May 25, 2026.

Specifications and access

Specification	Value and source
Weights	Open weightsSource
Access	API, LocalSource
Parameters	1TSource
Active parameters	32BSource
Context window	262,144 tokensSource
License	modified MITSource
Parameters	1,000 BSource
Active parameters	32 BSource
Architecture	MoE with MLA and MoonViTSource
Input	TextSource
Output	TextSource
Reasoning mode	YesSource
Tool calling	YesSource
API model ID	kimi-k2-0905Source
Availability	Corresponding first-party API ID `kimi-k2-0905-preview` retired 2026-05-25 as part of the K2 series. (Released weights and third-party provider availability are separate from the first-party API lifecycle.)Source

Benchmark meta-analysis

Overall and area scores

These Gradually indexes place selected published measurements on a 0 to 100 scale. They are not accuracy percentages and do not guarantee results in your application.

Retrieval dates of the sources used 2026-10-19 - 2026-10-19

Overall index

Not enough independent results for a score yet

An overall score needs at least eight test series.

provisional

Published configurations differ within this comparison cohort. Treat the index as provisional.

Test series: 1
Test families: 1 / 65
Sources: 1
Share of the fixed test panel (informative): 2 %

General

Index below 1 / 100

provisional

Published configurations differ within this comparison cohort. Treat the index as provisional.

Standard error: ± 0.0
95% interval: 0.0 to 0.0
Test series: 1
Test families: 1 / 5
Sources: 1
Share of the fixed test panel (informative): 20 %

Documented method · Included test families and measurements

Method version: benchmark-meta-score-v3

The index includes active measurements from reviewed primary sources when at least five models are compared in the same documented comparison slice across dataset, harness, agent, tools, and trial count. Each benchmark series and evaluator contributes one shared setup slice from the newest capture. When one source and series include several explicitly documented reasoning tiers, the highest documented tier (none through max) is selected, never the best result value. The explicit source label “Non-reasoning” is treated as none. Unknown or ambiguous tiers exclude the model from that series. Within each series, percentages and rates are logit-transformed, other units stay unchanged, and all values are then standardized. A one-factor model then estimates one shared strength per model and, per series, how sharply it separates the models. Area scores move away from that strength only as far as the model's own results in the area support. The overall score weights the core areas at 75% and finance, law and health at 25%. It requires at least eight test series from two sources and three areas. The 0 to 100 scale refers to a fixed reference group of 29 language models whose average sits at 50.

Published model-specific parameters can differ. This is not a controlled experiment; comparisons with such differences are marked provisional.

Unmeasured series are not entered as zero. Where a model has no own results in a core area, its overall strength stands in, and the note “estimated without own results in …” names the area. Fewer test series lead to a larger standard error.

The 95% interval follows from the standard error of 200 recalculations with randomly redrawn test families. It describes how precisely the recorded test series determine the value. It is no prediction for future tasks or for later recalculations with other participants.

The source count is not a count of independent experiments.

OECD handbook on composite indicators

All 1 test families and 1 of 1 raw measurements are listed here. The complete calculation for every model is available in the JSON export.

Test family: IFBench
General · Mean rank percentile of the family: 33.3 / 100
Family weight in the fixed test panel (informative): 2.14 % · Coverage of this test family: 100 %
- Artificial Analysis
  Published configurations differ within this cohort.
  Measurement:
  artificial-analysis-ifbench
  Series weight within the test family:
  100 %
  Nominal contribution to the overall panel:
  2.14 %
  Raw value:
  41.7006802721088 %
  Metric:
  IFBench prompt-level loose accuracy (pass@1)
  Version:
  AA test set: 294 questions
  Participating models:
  70
  Rank percentile within the cohort:
  33.3 %
  Retrieved:
  2026-10-19
  Comparison cohort:
  artificial-analysis-ifbench:AA test set: 294 questions:standalone:non-reasoning:tokens=0:suffix=unspecified
  Documented comparison setup
  Publication cohort:
  ["artificial-analysis-ifbench","AA test set: 294 questions","aa-model-page-2026-10-19-8a022369738c"]
  Dataset type:
  artificial-analysis-evaluation
  Tool policy:
  Single-turn answer evaluated with the official IFBench source code
  Attempts:
  pass@1, 5 repeats per question
  Setup and model parameters
  Exact AA configuration: Kimi K2 0905 (release kimi-k2-0905, row kimi-k2-0905, UUID 66445f84-b2e3-4202-afdc-92ba0f0e5f36, reasoning=false, source reasoning-token configuration budget=0, suffix=not specified). This configured value is not measured token consumption. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: non-reasoning
  Exact AA configuration: Kimi K2 0905 (release kimi-k2-0905, row kimi-k2-0905, UUID 66445f84-b2e3-4202-afdc-92ba0f0e5f36, reasoning=false, source reasoning-token configuration budget=0, suffix=not specified). This configured value is not measured token consumption. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Source model ID: artificial-analysis/66445f84-b2e3-4202-afdc-92ba0f0e5f36/kimi-k2-0905/kimi-k2-0905. Source model name: Kimi K2 0905. Provider reported by source: Kimi. Model snapshot: Kimi K2 0905. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: non-reasoning. Score display: 41.7%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-10-19-8a022369738c. Source payload hash: 8a022369738cbe2a0e2f9bf486a2882865dbb0c6f1396dfec84059a802560e3c. Parser version: artificial-analysis-rsc-models-v2. Imported at: 2026-10-19

Benchmark sources at a glance

Each evaluator measures different capabilities under its own conditions. Test series, composite indices and their components stay separate. The detailed results below retain their scales, configurations and source dates.

Evaluator	Test series	Composite indices	Recorded active measurements
Artificial Analysis	2	1	11

Coverage is not a quality ranking. Overlapping tests and multiple settings do not count as independent experiments. Vendor claims, historical and disputed results are excluded from this overview and remain labelled in the detailed evidence.

6 measurements from these sources still lack a verified test-family identity and do not increase the test-series count.

Measurements without matching peer values

These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.

IFBench: Overall (Show measurement, test conditions, and source)

Source value: 41.7006802721088
Score: 41.7006802721088
Metric: IFBench prompt-level loose accuracy (pass@1)
Unit: %
Benchmark version: AA test set: 294 questions
Category: general
Task: overall
Task label: Overall
Direction: Higher is better
Comparison cohort: artificial-analysis-ifbench:AA test set: 294 questions:standalone:non-reasoning:tokens=0:suffix=unspecified
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-10-19
Methodology: Exact AA configuration: Kimi K2 0905 (release kimi-k2-0905, row kimi-k2-0905, UUID 66445f84-b2e3-4202-afdc-92ba0f0e5f36, reasoning=false, source reasoning-token configuration budget=0, suffix=not specified). This configured value is not measured token consumption. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Source model ID: artificial-analysis/66445f84-b2e3-4202-afdc-92ba0f0e5f36/kimi-k2-0905/kimi-k2-0905. Source model name: Kimi K2 0905. Provider reported by source: Kimi. Model snapshot: Kimi K2 0905. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: non-reasoning. Score display: 41.7%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-10-19-8a022369738c. Source payload hash: 8a022369738cbe2a0e2f9bf486a2882865dbb0c6f1396dfec84059a802560e3c. Parser version: artificial-analysis-rsc-models-v2. Imported at: 2026-10-19
Comparison methodology: Exact AA configuration: Kimi K2 0905 (release kimi-k2-0905, row kimi-k2-0905, UUID 66445f84-b2e3-4202-afdc-92ba0f0e5f36, reasoning=false, source reasoning-token configuration budget=0, suffix=not specified). This configured value is not measured token consumption. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: non-reasoning
Context: The often cited 58 refers to verifiable out-of-domain constraint types, not the number of questions in AA's test run.

Source Artificial Analysis

AA-Omniscience Accuracy: Overall (Show measurement, test conditions, and source)

Source value: 25.416666666666664
Score: 25.416666666666664
Metric: AA-Omniscience Accuracy
Unit: %
Benchmark version: AA Omniscience diagnostic
Category: knowledge
Task: overall
Task label: Overall
Direction: Higher is better
Comparison cohort: artificial-analysis-omniscience-accuracy:AA Omniscience diagnostic:standalone:non-reasoning:tokens=0:suffix=unspecified
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-10-19
Methodology: Exact AA configuration: Kimi K2 0905 (release kimi-k2-0905, row kimi-k2-0905, UUID 66445f84-b2e3-4202-afdc-92ba0f0e5f36, reasoning=false, source reasoning-token configuration budget=0, suffix=not specified). This configured value is not measured token consumption. Proportion of all questions answered correctly, regardless of whether the model answers or abstains on other questions.. Source model ID: artificial-analysis/66445f84-b2e3-4202-afdc-92ba0f0e5f36/kimi-k2-0905/kimi-k2-0905. Source model name: Kimi K2 0905. Provider reported by source: Kimi. Model snapshot: Kimi K2 0905. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard. Reasoning: non-reasoning. Score display: 25.4%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-10-19-8a022369738c. Source payload hash: 8a022369738cbe2a0e2f9bf486a2882865dbb0c6f1396dfec84059a802560e3c. Parser version: artificial-analysis-rsc-models-v2. Imported at: 2026-10-19
Comparison methodology: Exact AA configuration: Kimi K2 0905 (release kimi-k2-0905, row kimi-k2-0905, UUID 66445f84-b2e3-4202-afdc-92ba0f0e5f36, reasoning=false, source reasoning-token configuration budget=0, suffix=not specified). This configured value is not measured token consumption. Proportion of all questions answered correctly, regardless of whether the model answers or abstains on other questions.. Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard. Reasoning: non-reasoning
Context: This is the separately published accuracy diagnostic, not the AA-Omniscience Index. AA identifies higher values as better.

Source Artificial Analysis

AA-Omniscience Hallucination Rate: Overall (Show measurement, test conditions, and source)

Source value: 69.72067039106146
Score: 69.72067039106146
Metric: AA-Omniscience Hallucination Rate
Unit: %
Benchmark version: AA Omniscience diagnostic
Category: knowledge
Task: overall
Task label: Overall
Direction: Lower is better
Comparison cohort: artificial-analysis-omniscience-hallucination-rate:AA Omniscience diagnostic:standalone:non-reasoning:tokens=0:suffix=unspecified
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-10-19
Methodology: Exact AA configuration: Kimi K2 0905 (release kimi-k2-0905, row kimi-k2-0905, UUID 66445f84-b2e3-4202-afdc-92ba0f0e5f36, reasoning=false, source reasoning-token configuration budget=0, suffix=not specified). This configured value is not measured token consumption. Proportion of incorrect answers among all non-correct responses: incorrect / (incorrect + partial answers + not attempted).. Source model ID: artificial-analysis/66445f84-b2e3-4202-afdc-92ba0f0e5f36/kimi-k2-0905/kimi-k2-0905. Source model name: Kimi K2 0905. Provider reported by source: Kimi. Model snapshot: Kimi K2 0905. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard. Reasoning: non-reasoning. Score display: 69.7%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-10-19-8a022369738c. Source payload hash: 8a022369738cbe2a0e2f9bf486a2882865dbb0c6f1396dfec84059a802560e3c. Parser version: artificial-analysis-rsc-models-v2. Imported at: 2026-10-19
Comparison methodology: Exact AA configuration: Kimi K2 0905 (release kimi-k2-0905, row kimi-k2-0905, UUID 66445f84-b2e3-4202-afdc-92ba0f0e5f36, reasoning=false, source reasoning-token configuration budget=0, suffix=not specified). This configured value is not measured token consumption. Proportion of incorrect answers among all non-correct responses: incorrect / (incorrect + partial answers + not attempted).. Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard. Reasoning: non-reasoning
Context: This is the separately published hallucination-rate diagnostic, not the AA-Omniscience Index. AA identifies lower values as better.

Source Artificial Analysis

SWE Verified (Show measurement, test conditions, and source)

Source value: 69.2
Score: 69.2
Metric: percent
Unit: %
Category: coding
Direction: Higher is better
Source type: vendor-reported
Evaluator: Kimi K2 Instruct-0905 model card
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. in-house harness; ± uncertainty reported in table; Terminal uses Terminus-2

Source Kimi K2 Instruct-0905 model card

SWE multilingual (Show measurement, test conditions, and source)

Source value: 55.9
Score: 55.9
Metric: percent
Unit: %
Category: coding
Direction: Higher is better
Source type: vendor-reported
Evaluator: Kimi K2 Instruct-0905 model card
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. in-house harness; ± uncertainty reported in table; Terminal uses Terminus-2

Source Kimi K2 Instruct-0905 model card

Multi-SWE (Show measurement, test conditions, and source)

Source value: 33.5
Score: 33.5
Metric: percent
Unit: %
Category: coding
Direction: Higher is better
Source type: vendor-reported
Evaluator: Kimi K2 Instruct-0905 model card
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. in-house harness; ± uncertainty reported in table; Terminal uses Terminus-2

Source Kimi K2 Instruct-0905 model card

Terminal (Show measurement, test conditions, and source)

Source value: 44.5
Score: 44.5
Metric: percent
Unit: %
Category: coding
Direction: Higher is better
Source type: vendor-reported
Evaluator: Kimi K2 Instruct-0905 model card
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. in-house harness; ± uncertainty reported in table; Terminal uses Terminus-2

Source Kimi K2 Instruct-0905 model card

SWE-Dev (Show measurement, test conditions, and source)

Source value: 66.6
Score: 66.6
Metric: percent
Unit: %
Category: coding
Direction: Higher is better
Source type: vendor-reported
Evaluator: Kimi K2 Instruct-0905 model card
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. in-house harness; ± uncertainty reported in table; Terminal uses Terminus-2

Source Kimi K2 Instruct-0905 model card

Artificial Analysis Intelligence Index (Show measurement, test conditions, and source)

Source value: 15.2941620102232
Score: 15.2941620102232
Metric: points
Unit: points
Direction: Higher is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-09-08
Methodology: Independent evaluation. unknown

Source Artificial Analysis

AA-Omniscience Index (Show measurement, test conditions, and source)

Source value: -26.5833333333333
Score: -26.5833333333333
Metric: points
Unit: points
Direction: Higher is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-09-08
Methodology: Independent evaluation. unknown

Source Artificial Analysis

Output speed (Show measurement, test conditions, and source)

Source value: 40.0025589622953
Score: 40.0025589622953
Metric: tokens/s
Unit: tokens/s
Direction: Higher is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-09-08
Methodology: Independent evaluation. unknown; default 10K-input workload only
Context: Artificial Analysis performance timing; output speed is decoded after the first streaming chunk. Provider basis: serving-provider median. Deprecated model. Artificial Analysis only continues benchmarking the default 10K-input workload.

Source Artificial Analysis

Latency reasoning time (Show measurement, test conditions, and source)

Source value: 0
Score: 0
Metric: seconds
Unit: seconds
Direction: Lower is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-09-08
Methodology: Independent evaluation. unknown; default 10K-input workload only
Context: Artificial Analysis performance timing; output speed is decoded after the first streaming chunk. Provider basis: serving-provider median. Deprecated model. Artificial Analysis only continues benchmarking the default 10K-input workload.

Source Artificial Analysis

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Predecessor and successor

Sources and data date

Type	Evidence and data date
Speed	Median across serving providers. Output speed after the first streaming chunk, not total response time. Classified as deprecated by Artificial Analysis. Artificial Analysis maintains only the default 10K-input workload there. Retrieved September 8, 2026. Source: Artificial Analysis · Artificial Analysis (retrieved September 8, 2026)Speed measurement methodology
Price	Base API prices without caching or batch discounts. Higher context tiers and other rates are listed under Costs. Source: Pricing · API pricing
Input	Documented modalities. Retrieved September 8, 2026. Source: Model documentation · Kimi K2 Instruct-0905 model card (retrieved September 8, 2026) · Kimi K2 0905 model card · Editorial description reviewed October 2, 2026
Output	Documented modalities. Retrieved September 8, 2026. Source: Model documentation · Kimi K2 Instruct-0905 model card (retrieved September 8, 2026) · Kimi K2 0905 model card · Editorial description reviewed October 2, 2026
Research status	Research date September 8, 2026. 3 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication.
Unresolved	release-date Original wording No normalized release-date field in card.
Additional source	Model metadata
Additional source	Artificial Analysis (retrieved October 19, 2026)
Additional source	Artificial Analysis (retrieved October 19, 2026)
Additional source	Model metadata (retrieved September 8, 2026) · Kimi API model list · Editorial description reviewed October 2, 2026
Additional source	OpenRouter: Popularity index (derived), CC BY 4.0
Additional source	Vercel AI Gateway: Popularity index (derived), CC BY 4.0
Additional source	Ollama: cumulative downloads for the popularity index
Additional source	Replicate: cumulative runs for the popularity index
Additional source	Google Trending Now: limited feed selection for Germany and the US
Additional source	Creative Commons Attribution 4.0

Kimi K2 0905

Specifications and access

Overall and area scores

Overall index

General

Test family: IFBench

Benchmark sources at a glance

Measurements without matching peer values

Our tests

SVG short test

Kimi K2 0905

Pelican on a bicycle

Popularity

Published prices

Predecessor and successor

Sources and data date