Models

Claude Opus 4.5 Thinking vs Kimi K3

Compare Claude Opus 4.5 Thinking 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 Opus 4.5 ThinkingMoonshot AIKimi K3
Anthropic logo
Claude Opus 4.5 Thinking
Anthropic · image, text → text

Claude Opus 4.5 does not enable reasoning mode by default. To access its deep reasoning capabilities, users would typically need to call the native Claude API. To make this capability available through an OpenAI-compatible interface, we provide the claude-opus-4-5-think model, which has reasoning mode pre-enabled and a default 32k-token context window, allowing it to be called directly via the OpenAI unified API. Claude Opus 4.5 Think is a reasoning-focused variant of Claude Opus 4.5 designed for advanced tasks that require rigorous reasoning, complex decision-making, and long-chain analysis. Aside from its enhanced reasoning mechanism, all other capabilities remain consistent with the standard Claude Opus 4.5 model, making it well suited for complex engineering problem decomposition, multi-stage planning, and logic-intensive analysis.

Input$5.00 /M
Output$25.00 /M
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

Pricing & Specifications

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

Claude Opus 4.5 Thinking
Kimi K3
Input /M
$5.00
$3.00
Output /M
$25.00
$15.00
Cache read /M
$0.50
$0.30
Context length
200,000
1,048,576
Max output
32,000
1,048,576
Time to First Token
-
0.9 s
Throughput
-
73.1 tok/s
Modalities
imagetext
textimagevideo
Supported Parameters
thinkingtoolsfunction callingstructured outputs
thinkingfunction 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.

claude-opus-4-5-thinkkimi-k3

Tokens / day

-

Requests / day

-

Performance Past 3 Days

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

claude-opus-4-5-thinkkimi-k3

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

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LMArena Benchmarks

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

Text
claude-opus-4-5-thinkkimi-k3
1440148015201560
Overall
14731486
Coding
15301531
Math
14701470
Hard prompts
14991505
Instruction following
14791484
Multi-turn
14871499
Creative writing
14681470
Longer query
14951502
Chinese
14981527
English
14841491

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.

Kimi K3
$405 /mo
Claude Opus 4.5 Thinking
$675 /mo

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

FAQ

Which is cheaper: Claude Opus 4.5 Thinking, Kimi K3?

Kimi K3: $15.00/M output tokens; Claude Opus 4.5 Thinking: $25.00/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

Kimi K3: 1531; Claude Opus 4.5 Thinking: 1530 (LMArena coding leaderboard).

How large is each context window?

Claude Opus 4.5 Thinking accepts 200,000 and Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 32,000 tokens on Claude Opus 4.5 Thinking and 1,048,576 tokens on Kimi K3.

What inputs and capabilities does each model support?

Claude Opus 4.5 Thinking accepts image and text 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 Opus 4.5 Thinking 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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