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
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
$1.2857/MEdge
How To Read ItLower is better when prompts or retrieval payloads are large.
Output
$14.2857/M
$3.8571/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
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
Data source
Kimi K3TokenHub production catalog
Intro
Kimi K3Kimi K3 is Moonshot AI’s flagship model for long-context coding, complex reasoning, and knowledge work. With native vision and a 1M-token context window, the Kimi K3 API is designed for repository analysis, document research, multi-step agent workflows, and production AI applications. Use TokenHub to review Kimi K3 price, API access, model capabilities, and benchmark results before choosing it for your workload.
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
Data source
DeepSeek V4 ProTokenHub production catalog
Intro
DeepSeek V4 ProDeepSeek V4 Pro is a DeepSeek model for complex coding, reasoning-intensive workflows, and high-volume text generation. Use the DeepSeek V4 Pro API through TokenHub to review current API pricing, context length, maximum output, available endpoints, and benchmark results before selecting it for production workloads.
Author
DeepSeek V4 ProDeepSeek
Released date
DeepSeek V4 Pro2026-04-24
Context length
DeepSeek V4 Pro1M
Max output tokens
DeepSeek V4 Pro384K
Name
Kimi K3Kimi K3
Name
DeepSeek V4 ProDeepSeek V4 Pro
Model id
Kimi K3kimi-k3
Model id
DeepSeek V4 Prodeepseek-v4-pro
Data source
Kimi K3TokenHub production catalog
Data source
DeepSeek V4 ProTokenHub production catalog
Intro
Kimi K3Kimi K3 is Moonshot AI’s flagship model for long-context coding, complex reasoning, and knowledge work. With native vision and a 1M-token context window, the Kimi K3 API is designed for repository analysis, document research, multi-step agent workflows, and production AI applications. Use TokenHub to review Kimi K3 price, API access, model capabilities, and benchmark results before choosing it for your workload.
Intro
DeepSeek V4 ProDeepSeek V4 Pro is a DeepSeek model for complex coding, reasoning-intensive workflows, and high-volume text generation. Use the DeepSeek V4 Pro API through TokenHub to review current API pricing, context length, maximum output, available endpoints, and benchmark results before selecting it for production workloads.
Author
Kimi K3Moonshot AI
Author
DeepSeek V4 ProDeepSeek
Released date
Kimi K32026-07-16
Released date
DeepSeek V4 Pro2026-04-24
Context length
Kimi K31M
Context length
DeepSeek V4 Pro1M
Max output tokens
Kimi K3131.1K
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$1.2857/M
Output
DeepSeek V4 Pro$3.8571/M
Cached input
DeepSeek V4 Pro$0.0429/M
Input
Kimi K3$2.8571/M
Input
DeepSeek V4 Pro$1.2857/M
Output
Kimi K3$14.2857/M
Output
DeepSeek V4 Pro$3.8571/M
Cached input
Kimi K3$0.2857/M
Cached input
DeepSeek V4 Pro$0.0429/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
Reasoning
Kimi K3
Reasoning
DeepSeek V4 Pro
Knowledge
Kimi K3n/a
Knowledge
DeepSeek V4 Pro2025-05-01
Attachment
Kimi K3
Attachment
DeepSeek V4 Pro
Input modalities
Kimi K3Text, Image
Input modalities
DeepSeek V4 ProText
Output modalities
Kimi K3Text
Output modalities
DeepSeek V4 ProText
Temperature
Kimi K3
Temperature
DeepSeek V4 Pro
Tool use
Kimi K3
Tool use
DeepSeek V4 Pro
Benchmark
Kimi K3Moonshot AI
DeepSeek V4 ProDeepSeek
Intelligence
wins57.1
Coding
wins76.2
Intelligence
40.8
Coding
43.2
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?
+
Neither model is universally better. Start with the Model Selection Guide above to match each model to your task, then use pricing, context length, maximum output, and capability rows to confirm the operational fit.
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.