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Data

Data as of October 23, 2026 · How the score is built

CurrentWeight access pendingReasoning

Released Oct 23, 20261.05M contextModel card

Kimi K3.1 Pro

Decision readingKimi K3.1 Pro is tracked, but not publicly ranked yet. The profile exposes 44 sourced benchmark rows and leaves unsupported fields blank until a published record exists.

Released Oct 23, 2026 — see all recent releases

Decision snapshot

Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.

Capability

Unranked

field median 49.9Not eligible for a public rank

Price

$2input / $10 output

input median $0.75cached $0.20 · blended $6

Speed

73tok/s

field median 93 tok/sFirst token 30.43 s

Context

1.05Mtokens

field median 256,000Reported for this model; direct source link not stored

Strongest published evidence

Multimodal & Grounded ranks #1. Particularly strong for screenshots, documents, charts, and grounded multimodal workflows.

Validate before choosing

44 published rows leave some tracked benchmark slots empty.

Source-linked · 44 displayable benchmark rows

Category score record

Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank Not rankedWeight 22%16 benchmarksVerified
82.3
CodingWeight 20%6 benchmarksVerified
Score pending
ReasoningWeight 17%0 benchmarksNot measured
Not measured
MultimodalRank #1 of 56Percentile 100thWeight 12%15 benchmarksVerified
98.0
KnowledgeRank Not rankedWeight 12%5 benchmarksVerified
91.0
MultilingualWeight 7%0 benchmarksNot measured
Not measured
Inst. FollowingWeight 5%0 benchmarksNot measured
Not measured
MathWeight 5%0 benchmarksNot measured
Not measured

44 of 764 tracked benchmark slots have displayable evidence · bars run 0–100

Coverage details

How much of this is verified

Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.

  1. Agentic16/16 verified
  2. Coding6/6 verified
  3. ReasoningNot measured
  4. Multimodal15/15 verified
  5. Knowledge5/5 verified
  6. MultilingualNot measured
  7. Inst. FollowingNot measured
  8. MathNot measured
Verified sourceProvisionalNot measured

Benchmark ledger

Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.

Coding6 rows
Coding benchmark values, best verified comparison, weight, and source status
DeepSWEScore75.5%Versus best verified row

Best verified: Muse Wonder Full · 79.0%

Gap3.5 behindWeightDisplay only
ProgramBench (binary)ProgramBench binary score (task counts only at 95% or higher)Score31.5%Versus best verified row

Best verified: Kimi K3.1 Pro · 31.5%

GapBest verifiedWeightDisplay only
Kimi Code Bench v2Score77.1%Versus best verified row

Best verified: Kimi K3.1 Pro · 77.1%

GapBest verifiedWeightDisplay only
Kimi Code Bench 3.0 Long-horizonKimi Code Bench 3.0 Long-horizon (Internal)Score61.2%Versus best verified row

Best verified: Kimi K3.1 Pro · 61.2%

GapBest verifiedWeightDisplay only
sweMarathonScore51.7%Versus best verified row

Best verified: Step 5 Preview · 72.7%

Gap21 behindWeightDisplay only
PostTrainBench v1.2Score36.5%Versus best verified row

Best verified: Kimi K3.1 Pro · 36.5%

GapBest verifiedWeightDisplay only
Agentic16 rows
Agentic benchmark values, best verified comparison, weight, and source status
BrowseCompScore92.1%Versus best verified row

Best verified: Atria Dawn Preview · 92.5%

Gap0.4 behindWeight9% ref. weight
Terminal-Bench 4.0Score65.70%Versus best verified row

Best verified: Claude Sonnet 5.5 · 70.60%

Gap4.9 behindWeightDisplay only
HLE w/ toolsHumanity's Last Exam with toolsScore70.0%Versus best verified row

Best verified: Kimi K3.1 Pro · 70.0%

GapBest verifiedWeightDisplay only
Agents' Last ExamScore43.2%Versus best verified row

Best verified: GPT-6 Astra · 59.3%

Gap16.1 behindWeightDisplay only
Terminal-Bench-Science 0.1Score38.1%Versus best verified row

Best verified: GPT-6 Astra · 64.6%

Gap26.5 behindWeightDisplay only
BioMysteryBenchBioMysteryBench (overall, v11 release)Score80.6%Versus best verified row

Best verified: Kimi K3.1 Pro · 80.6%

GapBest verifiedWeightDisplay only
Agents' Last Exam (CLI)Agents' Last Exam v1.1, CLI subsetScore44.2%Versus best verified row

Best verified: Kimi K3.1 Pro · 44.2%

GapBest verifiedWeightDisplay only
APEX-AgentsScore67.2%Versus best verified row

Best verified: Kimi K3.1 Pro · 67.2%

GapBest verifiedWeightDisplay only
Frontier FinanceScore58.6%Versus best verified row

Best verified: Kimi K3.1 Pro · 58.6%

GapBest verifiedWeightDisplay only
HANDBOOK.mdScore44.6%Versus best verified row

Best verified: Kimi K3.1 Pro · 44.6%

GapBest verifiedWeightDisplay only
OSWorld 2.0Score79.6%Versus best verified row

Best verified: Kimi K3.1 Pro · 79.6%

GapBest verifiedWeightDisplay only
Business OperationBusiness Operation (Internal)Score37.8%Versus best verified row

Best verified: Kimi K3.1 Pro · 37.8%

GapBest verifiedWeightDisplay only
Financial ModelingFinancial Modeling (Internal)Score57.6%Versus best verified row

Best verified: Kimi K3.1 Pro · 57.6%

GapBest verifiedWeightDisplay only
Financial ResearchFinancial Research (Internal)Score70.4%Versus best verified row

Best verified: Kimi K3.1 Pro · 70.4%

GapBest verifiedWeightDisplay only
Kimi Hallu Bench Hard (tools)Kimi Hallucination Benchmark Hard with tools (Internal)Score8.3%Versus best verified row

Best verified: Kimi K3.1 Pro · 8.3%

GapBest verifiedWeightDisplay only
ExploitGymScore20.7%Versus best verified row

Best verified: GPT-6 Astra · 42.4%

Gap21.7 behindWeightDisplay only
Multimodal15 rows
Multimodal benchmark values, best verified comparison, weight, and source status
MMMU-ProMassive Multi-discipline Multimodal Understanding ProScore84.1%Versus best verified row

Best verified: Kimi K3.1 Pro · 84.1%

GapBest verifiedWeightWeighted 40%
OfficeQA ProScore67.4%Versus best verified row

Best verified: Claude Opus 5.5 · 67.7%

Gap0.3 behindWeightWeighted 25%
CharXivCharXiv ReasoningScore93.4%Versus best verified row

Best verified: Qwen3.8 Max · 93.5%

Gap0.1 behindWeightWeighted 20%
OfficeQA Pro v2Score64.4%Versus best verified row

Best verified: Kimi K3.1 Pro · 64.4%

GapBest verifiedWeightDisplay only
BenchCAD Vision2Code (no tools)BenchCAD Vision2Code voxel IoU without toolsScore0.728Versus best verified row

Best verified: Claude Sonnet 5.5 · 0.747

Gap0 behindWeightDisplay only
BenchCAD Vision2Code (tools)BenchCAD Vision2Code voxel IoU with toolsScore0.927Versus best verified row

Best verified: Claude Sonnet 5.5 · 0.963

Gap0 behindWeightDisplay only
MMMU-Pro w/ PythonMMMU-Pro with PythonScore90%Versus best verified row

Best verified: Kimi K3.1 Pro · 90%

GapBest verifiedWeightDisplay only
CharXiv w/o toolsCharXiv Reasoning without toolsScore89%Versus best verified row

Best verified: Kimi K3.1 Pro · 89%

GapBest verifiedWeightDisplay only
Chartography (tools)Chartography with image and code toolsScore90.2%Versus best verified row

Best verified: Claude Sonnet 5.5 · 90.2%

GapBest verifiedWeightDisplay only
BabyVision w/ PythonBabyVision with PythonScore95.4%Versus best verified row

Best verified: Kimi K3.1 Pro · 95.4%

GapBest verifiedWeightDisplay only
ZeroBenchScore39.0%Versus best verified row

Best verified: Muse Spark Open · 50.0%

Gap11 behindWeightDisplay only
ZeroBench w/ PythonZeroBench_main with PythonScore63.0%Versus best verified row

Best verified: Kimi K3.1 Pro · 63.0%

GapBest verifiedWeightDisplay only
GDP.pdf (Gemini judge)GDP.pdf strict pass rate, page images plus text, Gemini judgeScore34.6%Versus best verified row

Best verified: Kimi K3.1 Pro · 34.6%

GapBest verifiedWeightDisplay only
GDP.pdf w/ Python (Gemini judge)GDP.pdf task-macro rubric pass rate with Python, Gemini judgeScore85.7%Versus best verified row

Best verified: Kimi K3.1 Pro · 85.7%

GapBest verifiedWeightDisplay only
PerceptionBenchPerceptionBench (Internal)Score68.3%Versus best verified row

Best verified: Kimi K3.1 Pro · 68.3%

GapBest verifiedWeightDisplay only
Knowledge5 rows
Knowledge benchmark values, best verified comparison, weight, and source status
HLEHumanity's Last ExamScore70%Versus best verified row

Best verified: Kimi K3.1 Pro · 70%

GapBest verifiedWeight44% ref. weight
GPQAGraduate-Level Google-Proof Q&AScore94.2%Versus best verified row

Best verified: GPT-6 Astra · 96%

Gap1.8 behindWeight3% ref. weight
HLE w/o toolsHumanity's Last Exam without toolsScore51.1%Versus best verified row

Best verified: Claude Opus 5.5 · 64.4%

Gap13.3 behindWeightDisplay only
GPQA-DGPQA DiamondScore94.2%Versus best verified row

Best verified: GPT-6 Astra · 96.0%

Gap1.8 behindWeightDisplay only
Kimi Hallu BenchKimi Hallucination Benchmark without tools (Internal)Score5.4%Versus best verified row

Best verified: Kimi K3.1 Pro · 5.4%

GapBest verifiedWeightDisplay only
External signals2 rows
External signals benchmark values, best verified comparison, weight, and source status
ExploitBenchExploitBench v8-benchScore75%Versus best verified row

Best verified: GPT-6 Astra · 100%

Gap25.3 behindWeightDisplay only
xdev-bench-hardxdev-bench-hard (Internal, pass@3)Score81.0%Versus best verified row

Best verified: Kimi K3.1 Pro · 81.0%

GapBest verifiedWeightDisplay only

Lineage

The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

  1. Jan 27, 2026

    Kimi K2.5

    Score 53.0 · $0.6 / $3

  2. Apr 20, 2026

    Kimi K2.6

    Score 58.2 · $0.95 / $4

  3. Jul 16, 2026

    Kimi K3

    Score 69.9 · $3 / $15

  4. Oct 23, 2026 · you are here

    Kimi K3.1 Pro

    Not publicly ranked · $2 / $10

Base entry

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

API model ID
Not published
Context window
1.05M
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
Not sourced yet
Output modalities
Not sourced yet
Parameters
Not sourced yet
Availability
Not sourced yet
Cloud regions
Not tracked yet
Lifecycle
Current
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Published at $0.20 per million cached input tokens
Self-host
Weight availability is pending
Rate limits
Not tracked yet

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

We track Kimi K3.1 Pro, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.

Kimi K3.1 Pro has no verified publication yet for weight access. Its 1.05M context window is documented separately from that pending weight status. The profile records its reasoning mode as reasoning.

Its explicit predecessor is Kimi K3. 44 of 764 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Its strongest eligible category is Multimodal & Grounded at #1. particularly strong for screenshots, documents, charts, and grounded multimodal workflows.

Last updated October 23, 2026. Runtime fields remain blank until a sourced snapshot exists.

Questions

How does Kimi K3.1 Pro perform overall in AI benchmarks?

Kimi K3.1 Pro has 44 source-displayable benchmark rows, but it does not qualify for a public overall rank. The available rows remain visible by category without being converted into a site-wide score. Missing evidence stays blank instead of being estimated from an earlier model.

Is Kimi K3.1 Pro good for knowledge and understanding?

Kimi K3.1 Pro has source-displayable benchmark coverage for knowledge and understanding, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Kimi K3.1 Pro good for coding and programming?

Kimi K3.1 Pro has source-displayable benchmark coverage for coding and programming, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Kimi K3.1 Pro good for agentic tool use and computer tasks?

Kimi K3.1 Pro has source-displayable benchmark coverage for agentic tool use and computer tasks, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Kimi K3.1 Pro good for multimodal and grounded tasks?

Kimi K3.1 Pro ranks #1 out of 56 eligible models for multimodal and grounded tasks, with a public category score of 98/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.

Does Kimi K3.1 Pro have full benchmark coverage on BenchLM?

No. Kimi K3.1 Pro currently has 57 source-displayable rows. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.

What is the context window size of Kimi K3.1 Pro?

Kimi K3.1 Pro has a reported context window of 1.05M in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.

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