LLMcompare

Search

Search for a command to run...

A · open · Kimi

Kimi K3

Moonshot

B · open · Kimi

Kimi Linear 48B A3B Instruct

Moonshot

4:0

overall capability wins (1 ties across 5 scored). Kimi K3 leads overall.

  • Reasoning3:0
  • Specs1:0

Verdict

Kimi K3 edges reasoning & knowledge.

Cost for 1M in + 250K out

Illustrative chat workload at primary-provider list prices.

Kimi K3
$6.75
Kimi Linear 48B A3B Instruct
-

Price per 1M tokens

Full comparison

Organization

Moonshot

Moonshot

Family

Kimi

Kimi

License

Kimi K3 License

MIT

Open weights

Yes

Yes

Release

Jul 16, 2026

Oct 30, 2025

Knowledge cutoff

-

-

API / provider

Moonshot

No primary API price listed

Modalities

text, image, video → text

text → text

Specs

Context window

1.0M

1.0M

tie

Max output

64K

-

—

Parameters

2.8T (104B act.)

48B (3B act.)

A +3K

Pricing

Input $/1M

$3

—

—

Output $/1M

$15

—

—

Blended $/1M (3∶1)

$6

-

—

Speed

tok/s

60

-

—

TTFT (s)

0.6

-

—

Reasoning

MMLU-Pro

—

—

—

GPQA Diamond

93.5

41.2

A +52.3 pts

Humanity's Last Exam

46.9

2.5

A +44.4 pts

AIME 2025

—

—

—

MATH-500

—

—

—

Humanity's Last Exam (with tools)

—

—

—

AA-Omniscience Accuracy

47.6

—

—

AA-LCR v1.1

88.7

28.0

A +60.7 pts

CritPt

23.4

—

—

MMMU-Pro

80.5

—

—

IFBench

—

28.1

—

Chartography

—

—

—

Chartography (With Tools)

—

—

—

Coding

SWE-bench Verified

—

—

—

SWE-bench Pro

—

—

—

SWE-bench Multilingual

—

—

—

LiveCodeBench

—

—

—

Terminal-Bench 2.1

85.0

—

—

Aider Polyglot

—

—

—

Terminal-Bench 3

—

—

—

BigCodeBench

—

—

—

SciCode

59.5

—

—

CursorBench

60.8

—

—

SWE-Rebench

—

—

—

NL2Repo-Bench

—

—

—

DeepSWE

69.0

—

—

WebDev Arena

1,674

—

—

Terminal-Bench 4.0

—

—

—

CursorBench 4.0

—

—

—

FrontierCode v1.1 (Main)

—

—

—

Arena

LMArena Elo

1,485

—

—

Kimi K3

Context
1.0M / 64K out
Parameters
2.8T (104B act.)
Price
$3 / $15
Speed
60 tok/s · 0.6s TTFT
Modalities
text, image, video → text
License
Kimi K3 License

Largest open-weight model (2.8T MoE / 104B active) — official card reports strong reasoning and agentic coding results.

Kimi Linear 48B A3B Instruct

Context
1.0M
Parameters
48B (3B act.)
Price
—
Speed
—
Modalities
text → text
License
MIT

Moonshot AI's hybrid linear-attention MoE (48B total / 3B active) pairing Kimi Delta Attention with sparse global attention for cheaper long-context (up to 1M token) inference; no hosted API yet.

Benchmark charts

Winner bars are emphasized. Per-benchmark deltas sit above each chart.

Reasoning & knowledge

GPQA: A +52.3HLE: A +44.4AA-LCR: A +60.7

Pick a different pair · Back to catalog