Kimi K3
Moonshot AI · text, image, video → text
Kimi K3 is Kimi’s flagship model for long-horizon coding and end-to-end knowledge work, with a 1M-token context window and industry-leading intelligence.
Input$3 /M
Output$15 /M
Cache read$0.3 /M
← ModelsKimi K3
Mercury 2.5
Kimi K3 vs Mercury 2.5
Compare Kimi K3 from Moonshot AI and Mercury 2.5 from Inception on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Kimi K3Mercury 2.5+ Add model · 2/4
Mercury 2.5
Inception · text → text
Mercury 2.5 is Inception's diffusion language model (dLLM), designed for text generation and reasoning tasks. Instead of sequential generation, it produces and refines multiple tokens in parallel to achieve rapid reasoning, supported by an expansive 260,000-token context window.
Input$0.2 /M
Output$0.75 /M
Cache read$0.02 /M
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Kimi K3
Mercury 2.5
Input /M
$3
$0.2
Output /M
$15
$0.75
Cache read /M
$0.3
$0.02
Context length
1,048,576
260,000
Max output
1,048,576
0
Time to First Token
0.9 s
-
Throughput
73.1 tok/s
-
Modalities
textimagevideo
text
Supported Parameters
thinkingfunction callingstructured outputs
API Formats
Released
July 16, 2026
-
Promotional prices show the discounted rate; see each model page for promotion windows.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
kimi-k3mercury-2.5
Tokens / day
-
Requests / day
-
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
kimi-k3mercury-2.5
Throughput (tok/s)
-
TTFT (s)
-
Uptime (%)
-
Cost calculator
Estimate your monthly bill for the same workload on each model.
Mercury 2.5
$23.25 /mo
Kimi K3
$405 /mo
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: Kimi K3, Mercury 2.5?
Mercury 2.5: $0.75/M output tokens; Kimi K3: $15/M. Use the cost calculator above to estimate your own workload.
How large is each context window?
Kimi K3 accepts 1,048,576 and Mercury 2.5 accepts 260,000 input tokens.
What inputs and capabilities does each model support?
Kimi K3 accepts text, image and video input and supports thinking, function calling and structured outputs; Mercury 2.5 accepts text input.
Can I call Kimi K3 and Mercury 2.5 with the same API key?
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
Popular comparisons
Related model match-ups readers also look at.
