Models

claude-opus-4-6-think vs kimi-k3

Output tokens cost $25.00 per million on claude-opus-4-6-think and $15.00 per million on kimi-k3. Input tokens cost $5.00 per million on claude-opus-4-6-think and $3.00 per million on kimi-k3. Cached input tokens are billed at $0.50 per million on claude-opus-4-6-think and $0.30 per million on kimi-k3. Context lengths are 200,000 tokens on claude-opus-4-6-think and 1,048,576 tokens on kimi-k3. Time to first token (TTFT) measured on AIHubMix is 1.7s on claude-opus-4-6-think and 2.6s on kimi-k3. Measured output throughput is 42.2 tok/s on claude-opus-4-6-think and 36.1 tok/s on kimi-k3. On the LMArena coding leaderboard claude-opus-4-6-think scores 1547 and kimi-k3 scores 1531.

Anthropicclaude-opus-4-6-thinkMoonshot AIkimi-k3
Anthropic logo
claude-opus-4-6-think
Anthropic · image, text → text

Claude Opus 4.6 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-4-6-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 4.6 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 4.6 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-4-6-think
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
1.7 s
2.6 s
Throughput
42.2 tok/s
36.1 tok/s
Modalities
imagetext
textimagevideo
Supported Parameters
thinkingtoolsfunction callingstructured outputs
thinkingfunction callingstructured outputs
API Formats

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-4-6-thinkkimi-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.

claude-opus-4-6-thinkkimi-k3

Throughput (tok/s)

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TTFT (s)

-

Uptime (%)

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LMArena Benchmarks

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

Text
claude-opus-4-6-thinkkimi-k3
1440148015201560
Overall
14861497
Coding
15311547
Math
15061506
Hard prompts
15051526
Instruction following
14791500
Multi-turn
14991512
Creative writing
14701479
Longer query
15021518
Chinese
15271549
English
14911507

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-4-6-think
$675 /mo

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

FAQ

Which is cheaper: claude-opus-4-6-think, kimi-k3?

kimi-k3: $15.00/M output tokens; claude-opus-4-6-think: $25.00/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

claude-opus-4-6-think: 1547; kimi-k3: 1531 (LMArena coding leaderboard).

Which responds faster?

claude-opus-4-6-think: 1.7s 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-opus-4-6-think accepts 200,000 and kimi-k3 accepts 1,048,576 input tokens. Maximum output per request is 32,000 tokens on claude-opus-4-6-think and 1,048,576 tokens on kimi-k3.

Which one generates tokens faster?

claude-opus-4-6-think at 42.2 tok/s and kimi-k3 at 36.1 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-opus-4-6-think 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-4-6-think 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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