Model Comparison
DeepSeek-V2.5 vs Kimi K3Which is better in 2026?
Comparing DeepSeek-V2.5 and Kimi K3 across benchmarks, pricing, and capabilities.
Verdict: DeepSeek-V2.5 vs Kimi K3 — which is better?
DeepSeek-V2.5 (by DeepSeek) and Kimi K3 (by Moonshot AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
On price, DeepSeek-V2.5 is roughly 34.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Kimi K3 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose DeepSeek-V2.5 if…
- cost matters — it's about 34.3x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Kimi K3 if…
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Jul 2026
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V2.5 and Kimi K3don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V2.5 ($0.14/1M tokens) is 21.4x cheaper than Kimi K3 ($3.00/1M tokens).
For output processing, DeepSeek-V2.5 ($0.28/1M tokens) is 53.6x cheaper than Kimi K3 ($15.00/1M tokens).
In conclusion, Kimi K3 is more expensive than DeepSeek-V2.5.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Kimi K3 has 2564.0B more parameters than DeepSeek-V2.5, making it 1086.4% larger.
Context Window
Maximum input and output token capacity
Kimi K3 accepts 1,048,576 input tokens compared to DeepSeek-V2.5's 8,192 tokens. Kimi K3 can generate longer responses up to 1,048,576 tokens, while DeepSeek-V2.5 is limited to 8,192 tokens.
Input Capabilities
Supported data types and modalities
Kimi K3 supports multimodal inputs, whereas DeepSeek-V2.5 does not.
Kimi K3 can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V2.5
Kimi K3
Release Timeline
When each model was launched
DeepSeek-V2.5 was released on 2024-05-08, while Kimi K3 was released on 2026-07-16.
Kimi K3 is 27 months newer than DeepSeek-V2.5.
May 8, 2024
2.2 years ago
Jul 16, 2026
2 days ago
2.2yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V2.5 is available from DeepSeek, DeepInfra, Hyperbolic. Kimi K3 is available from Moonshot AI.
DeepSeek-V2.5
Kimi K3
Outputs Comparison
Key Takeaways
DeepSeek-V2.5
View detailsDeepSeek
Kimi K3
View detailsMoonshot AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against DeepSeek-V2.5 and Kimi K3 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about DeepSeek-V2.5 vs Kimi K3.