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Claude Haiku 4.5 vs Kimi K3

Compare Claude Haiku 4.5 from Anthropic and Kimi K3 from Moonshot AI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.

AnthropicClaude Haiku 4.5Moonshot AIKimi K3
+ Add model · 2/4
Anthropic logo
Claude Haiku 4.5
Anthropic · text, image → text

Claude Haiku 4.5 is a fast, affordable, and highly capable AI model, excelling at coding and agentic tasks. Its combination of speed and low cost makes it ideal for powering real-time applications like chatbots, high-volume free services, and specialized "sub-agents" for complex tasks in coding, finance, and research. It can also handle common business tasks like creating office documents and assisting with strategy and analysis. ⚠️ The minimum cache token for claude-haiku-4-5 has been increased from 1,024 to 4,096 tokens.

Input$1.10 /M
Output$5.50 /M
Details
Moonshot AI logo
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
Details

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

Claude Haiku 4.5
Kimi K3
Input /M
$1.10
$3.00
Output /M
$5.50
$15.00
Cache read /M
$1.10
$0.30
Context length
204,800
1,048,576
Max output
131,072
1,048,576
Time to First Token
0.8 s
0.9 s
Throughput
73.6 tok/s
73.1 tok/s
Modalities
textimage
textimagevideo
Supported Parameters
thinkingtoolsfunction callingstructured outputs
thinkingfunction callingstructured outputs
API Formats
Released
October 1, 2025
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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.

claude-haiku-4-5kimi-k3

Tokens / day

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Requests / day

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Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

claude-haiku-4-5kimi-k3

Throughput (tok/s)

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TTFT (s)

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Uptime (%)

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LMArena Benchmarks

LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.

Text
claude-haiku-4-5kimi-k3
1360142014801540
Overall
14131486
Coding
14811531
Math
13991399
Hard prompts
14411505
Instruction following
14151479
Multi-turn
14251499
Creative writing
13901470
Longer query
14371502
Chinese
14371527
English
14331491

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.

Claude Haiku 4.5
$149 /mo
Kimi K3
$405 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

Which is cheaper: Claude Haiku 4.5, Kimi K3?

Claude Haiku 4.5: $5.50/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; Claude Haiku 4.5: 1481 (LMArena coding leaderboard).

Which responds faster?

Claude Haiku 4.5: 0.8s 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?

Claude Haiku 4.5 accepts 204,800 and Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 131,072 tokens on Claude Haiku 4.5 and 1,048,576 tokens on Kimi K3.

Which one generates tokens faster?

Claude Haiku 4.5 at 73.6 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?

Claude Haiku 4.5 accepts text and image input and supports thinking, tool calling, function calling and structured outputs; Kimi K3 accepts text, image and video input and supports thinking, function calling and structured outputs.

Can I call Claude Haiku 4.5 and Kimi K3 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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