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
Mistral Large 3
Kimi K3 vs Mistral Large 3
Output tokens cost $15.00 per million on Kimi K3 and $1.50 per million on Mistral Large 3. Input tokens cost $3.00 per million on Kimi K3 and $0.50 per million on Mistral Large 3. Cached input tokens are billed at $0.30 per million on Kimi K3 and $0.50 per million on Mistral Large 3. Context lengths are 1,048,576 tokens on Kimi K3 and 256,000 tokens on Mistral Large 3. Time to first token (TTFT) measured on AIHubMix is 0.9s on Kimi K3 and 1.9s on Mistral Large 3. Measured output throughput is 73.1 tok/s on Kimi K3 and 51.6 tok/s on Mistral Large 3. On the LMArena coding leaderboard Kimi K3 scores 1531 and Mistral Large 3 scores 1468.
Kimi K3Mistral Large 3+ Add model · 2/4
Mistral Large 3
Mistral · text, image → text
Mistral Large 3 is a MoE model with 67.5B total parameters and 41B active parameters, supporting a 256K-token context window. Trained from scratch on 3,000 NVIDIA H200 GPUs, it is one of the strongest permissively licensed open-weight models available. Designed for advanced reasoning and long-context understanding, Mistral Large 3 delivers performance on par with the best instruction-tuned open-weight models for general-purpose tasks, while also offering image understanding capabilities. Its multilingual strengths are particularly notable for non-English/Chinese languages, making it well-suited for global applications. Typical use cases include enterprise assistants, multilingual customer support, content generation and editing, data analysis over long documents, code assistance, and research workflows that require handling large corpora or complex instructions. With its MoE architecture, Mistral Large 3 balances strong performance with efficient inference, providing a versatile backbone for building reliable, production-grade AI systems.
Input$0.50 /M
Output$1.50 /M
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Kimi K3
Mistral Large 3
Input /M
$3.00
$0.50
Output /M
$15.00
$1.50
Cache read /M
$0.30
$0.50
Context length
1,048,576
256,000
Max output
1,048,576
256,000
Time to First Token
0.9 s
1.9 s
Throughput
73.1 tok/s
51.6 tok/s
Modalities
textimagevideo
textimage
Supported Parameters
thinkingfunction callingstructured outputs
function callingstructured outputs
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-k3mistral-large-3
Tokens / day
-
Requests / day
-
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
kimi-k3mistral-large-3
Throughput (tok/s)
-
TTFT (s)
-
Uptime (%)
-
LMArena Benchmarks
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Text
kimi-k3mistral-large-3
1360142014801540
Overall
14161486
Coding
14681531
Math
14021402
Hard prompts
14321505
Instruction following
14041479
Multi-turn
14211499
Creative writing
13761470
Longer query
14171502
Chinese
14271527
English
14291491
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.
Mistral Large 3
$52.50 /mo
Kimi K3
$405 /mo
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: Kimi K3, Mistral Large 3?
Mistral Large 3: $1.50/M output tokens; Kimi K3: $15.00/M. Use the cost calculator above to estimate your own workload.
How do their coding arena scores compare?
Kimi K3: 1531; Mistral Large 3: 1468 (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 Mistral Large 3 accepts 256,000 input tokens. Maximum output per request is 1,048,576 tokens on Kimi K3 and 256,000 tokens on Mistral Large 3.
Which one generates tokens faster?
Kimi K3 at 73.1 tok/s and Mistral Large 3 at 51.6 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; Mistral Large 3 accepts text and image input and supports function calling and structured outputs.
Can I call Kimi K3 and Mistral Large 3 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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