Kimi K3 vs DeepSeek V4 Pro

Kimi K3 from Moonshot AI and DeepSeek V4 Pro from DeepSeek are shown side by side so you can compare pricing, model IDs, context and output limits, modalities, tool use, release details, and benchmark results where data is available.

Overall Recommendation

Kimi K3 is the stronger capability default in TokenHub benchmarks and adds image and video input. Choose DeepSeek V4 Pro when much lower token cost, a 384K maximum output, or text-only repository work matters more.

Comparison Highlights

Kimi K3Moonshot AI
DeepSeek V4 ProDeepSeek
Best For
Multimodal agentsadvanced codingbroad task execution
Low-cost text reasoningvery long outputs
How To Read ItUse-case synthesis from model capabilities and positioning.
Workload Fit
MultimodalAgentsVisual development
ReasoningCodingCost control
How To Read ItThe workloads each model is most directly shaped for.
Input
$2.8571/M
$1.8/MEdge
How To Read ItLower is better when prompts or retrieval payloads are large.
Output
$14.2857/M
$3.5/MEdge
How To Read ItLower is better for reasoning-heavy or long-generation traffic.
Context length
1M
1M
How To Read ItHigher is better for repositories, retrieval packs, and transcripts.
Input modalities
Text, ImageEdge
Text
How To Read ItBroader input support reduces the need for separate vision or video models.

Model Selection Guide

Kimi K3Moonshot AI

Choose Kimi K3 When

  • A 57.1 Intelligence Index and 76.2 Coding Index, versus 40.8 and 43.2
  • Text, image, and video input, while DeepSeek V4 Pro is text-only
  • Stronger published GPQA, HLE, SciCode, and long-context reasoning scores
DeepSeek V4 ProDeepSeek

Choose DeepSeek V4 Pro When

  • $1.8 input and $3.5 output per million tokens, versus $2.8571 and $14.2857
  • A 384K maximum output, nearly three times Kimi K3 at 131.1K
  • A text-focused profile for full-codebase analysis and research synthesis

Basic Information

Kimi K3Moonshot AI
DeepSeek V4 ProDeepSeek

Name

Kimi K3Kimi K3

Model id

Kimi K3kimi-k3

Intro

Kimi K3Kimi K3 is a high-performance AI model designed for advanced reasoning, coding, and complex task execution. It delivers strong performance on large-scale programming projects, multi-step problem solving, and knowledge-intensive applications. With broad context handling and multimodal capabilities, K3 is suitable for building powerful AI agents, developer tools, and enterprise-level applications.

Author

Kimi K3Moonshot AI

Released date

Kimi K32026-07-16

Context length

Kimi K31M

Max output tokens

Kimi K3131.1K

Name

DeepSeek V4 ProDeepSeek V4 Pro

Model id

DeepSeek V4 Prodeepseek-v4-pro

Intro

DeepSeek V4 ProDeepSeek V4 Pro is described as a large-scale Mixture-of-Experts model with 1.6T total parameters and 49B activated parameters, while keeping a 1M-token context window for very large inputs. Its model cards emphasize advanced reasoning, coding, and long-horizon agent workflows rather than simple chat. The Pro variant is the capability-oriented member of the V4 family, making it better suited to full-codebase analysis, large research synthesis, and multi-step automation where depth matters more than the lowest possible latency.

Author

DeepSeek V4 ProDeepSeek

Released date

DeepSeek V4 Pro2026-04-24

Context length

DeepSeek V4 Pro1M

Max output tokens

DeepSeek V4 Pro384K

Pricing

Kimi K3Moonshot AI
DeepSeek V4 ProDeepSeek

Input

Kimi K3$2.8571/M

Output

Kimi K3$14.2857/M

Cached input

Kimi K3$0.2857/M

Input

DeepSeek V4 Pro$1.8/M

Output

DeepSeek V4 Pro$3.5/M

Cached input

DeepSeek V4 Pro$0.015/M

Capabilities

Kimi K3Moonshot AI
DeepSeek V4 ProDeepSeek

Reasoning

Kimi K3

Knowledge

Kimi K3n/a

Attachment

Kimi K3

Input modalities

Kimi K3Text, Image

Output modalities

Kimi K3Text

Temperature

Kimi K3

Tool use

Kimi K3

Reasoning

DeepSeek V4 Pro

Knowledge

DeepSeek V4 Pro2025-05-01

Attachment

DeepSeek V4 Pro

Input modalities

DeepSeek V4 ProText

Output modalities

DeepSeek V4 ProText

Temperature

DeepSeek V4 Pro

Tool use

DeepSeek V4 Pro

Benchmark

Intelligence

wins

57.1

Kimi K3

40.8

DeepSeek V4 Pro

Coding

wins

76.2

Kimi K3

43.2

DeepSeek V4 Pro

Kimi K3Moonshot AI
DeepSeek V4 ProDeepSeek

Knowledge & Reasoning

GPQA

wins93.5%

HLE

wins44.3%

GPQA

90.5%

HLE

33.5%

Coding

SciCode

wins58.7%

Terminal-Bench Hard

n/a

SciCode

46.4%

Terminal-Bench Hard

wins41.7%

Instruction Following & Agent Tasks

IFBench

n/a

AA-LCR

wins74.7%

Tau2

n/a

IFBench

wins71.3%

AA-LCR

65%

Tau2

wins94.2%

FAQ

Which model is better, Kimi K3 or DeepSeek V4 Pro?+

Kimi K3 and DeepSeek V4 Pro should be compared by workload. This page places price, context, output limits, capabilities, and benchmark data side by side. It is also relevant to: kimi k3 vs deepseek v4 pro, kimi k3 vs deepseek, kimi vs deepseek.

Is DeepSeek V4 Pro cheaper than Kimi K3?+

Use the pricing rows above to compare input, output, and cached input prices for Kimi K3 and DeepSeek V4 Pro.

Which model supports a longer context length?+

Kimi K3 lists 1M context length, while DeepSeek V4 Pro lists 1M.

Can I access both models through TokenHub?+

If both models are available in the TokenHub catalog, you can route requests to Kimi K3 and DeepSeek V4 Pro through the TokenHub API.