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Anthropic Opus 4.6 vs Kimi K3

Compare Anthropic Opus 4.6 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.

AnthropicAnthropic Opus 4.6Moonshot AIKimi K3
+ Add model · 2/4
Anthropic logo
Anthropic Opus 4.6
Anthropic · text, image → text

Claude Opus 4.6 is Anthropic’s latest state-of-the-art reasoning model. It features an adaptive “thinking” mode that dynamically decides when to think and how much to think. At the default effort level (high), Claude will almost always engage in thinking. At lower effort levels, it may skip thinking for simple problems. ⚠️ The minimum cache token for claude-opus-4-6 has been increased from 1,024 to 4,096 tokens.

Input$5 /M
Output$25 /M
Cache read$0.5 /M
Details
10% off
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$2.7 /M
Output$15$13.5 /M
Cache read$0.3$0.27 /M
Details

Pricing & Specifications

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

Anthropic Opus 4.6
Kimi K3
Input /M
$5
$3$2.7−10%
Output /M
$25
$15$13.5−10%
Cache read /M
$0.5
$0.3$0.27−10%
Context length
200,000
1,048,576
Max output
32,000
1,048,576
Time to First Token
3.1 s
0.9 s
Throughput
39.7 tok/s
73.1 tok/s
Modalities
textimage
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.

anthropic-opus-4-6kimi-k3

Tokens / day

-

Requests / day

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Performance Past 3 Days

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

anthropic-opus-4-6kimi-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
anthropic-opus-4-6kimi-k3
1440148015201560
Overall
14861499
Coding
15311548
Math
15041504
Hard prompts
15051528
Instruction following
14791501
Multi-turn
14991510
Creative writing
14701478
Longer query
15021519
Chinese
15271549
English
14911508

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$365 /mo
Anthropic Opus 4.6
$675 /mo

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

FAQ

Which is cheaper: Anthropic Opus 4.6, Kimi K3?

Kimi K3: $13.5/M output tokens; Anthropic Opus 4.6: $25/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

Anthropic Opus 4.6: 1548; Kimi K3: 1531 (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?

Anthropic Opus 4.6 accepts 200,000 and Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 32,000 tokens on Anthropic Opus 4.6 and 1,048,576 tokens on Kimi K3.

Which one generates tokens faster?

Kimi K3 at 73.1 tok/s and Anthropic Opus 4.6 at 39.7 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

Anthropic Opus 4.6 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 Anthropic Opus 4.6 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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