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$3.00 /M
Output$15.00 /M
← ModelsKimi K3
MiMo V2 Flash (free)
Kimi K3 vs MiMo V2 Flash (free)
Context lengths are 1,048,576 tokens on Kimi K3 and 256,000 tokens on MiMo V2 Flash (free). Time to first token (TTFT) measured on AIHubMix is 0.9s on Kimi K3 and 1.6s on MiMo V2 Flash (free). Measured output throughput is 73.1 tok/s on Kimi K3 and 130.4 tok/s on MiMo V2 Flash (free). On the LMArena coding leaderboard Kimi K3 scores 1531 and MiMo V2 Flash (free) scores 1445.
Kimi K3MiMo V2 Flash (free)+ Add model · 2/4
MiMo V2 Flash (free)
Xiaomi · text → text
MiMo-V2-Flash is an open-source foundation language model developed by Xiaomi. It adopts a MoE architecture with 309B total parameters and 15B active parameters per inference, balancing performance and efficiency. The model features a hybrid attention architecture, supports a hybrid-thinking toggle, and offers a 256K context window, enabling strong capabilities in complex reasoning, code generation, and agent-based scenarios. On SWE-bench Verified and SWE-bench Multilingual, MiMo-V2-Flash ranks #1 among open-source models globally, delivering performance comparable to Claude Sonnet 4.5 while costing only about 3.5% as much.
Input$0.00 /M
Output$0.00 /M
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Kimi K3
MiMo V2 Flash (free)
Input /M
$3.00
$0.00
Output /M
$15.00
$0.00
Cache read /M
$0.30
$0.00
Context length
1,048,576
256,000
Max output
1,048,576
256,000
Time to First Token
0.9 s
1.6 s
Throughput
73.1 tok/s
130.4 tok/s
Modalities
textimagevideo
text
Supported Parameters
thinkingfunction callingstructured outputs
web
API Formats
Released
-
-
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-k3mimo-v2-flash-free
Tokens / day
-
Requests / day
-
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
kimi-k3mimo-v2-flash-free
Throughput (tok/s)
-
TTFT (s)
-
Uptime (%)
-
LMArena Benchmarks
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Text
kimi-k3mimo-v2-flash-free
1340140014601520
Overall
13931486
Coding
14451531
Math
13801380
Hard prompts
14141505
Instruction following
13841479
Multi-turn
13881499
Creative writing
13591470
Longer query
14051502
Chinese
14451527
English
14171491
Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.
Cost calculator
Estimate your monthly bill for the same workload on each model.
MiMo V2 Flash (free)
$0.00 /mo
Kimi K3
$405 /mo
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
How do their coding arena scores compare?
Kimi K3: 1531; MiMo V2 Flash (free): 1445 (LMArena coding leaderboard).
Which responds faster?
Kimi K3: 0.9s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
How large is each context window?
Kimi K3 accepts 1,048,576 and MiMo V2 Flash (free) accepts 256,000 input tokens. Maximum output per request is 1,048,576 tokens on Kimi K3 and 256,000 tokens on MiMo V2 Flash (free).
Which one generates tokens faster?
MiMo V2 Flash (free) at 130.4 tok/s and Kimi K3 at 73.1 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
Kimi K3 accepts text, image and video input and supports thinking, function calling and structured outputs; MiMo V2 Flash (free) accepts text input and supports web search.
Can I call Kimi K3 and MiMo V2 Flash (free) 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.
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