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claude-opus-5 vs kimi-k3

Output tokens cost $25.00 per million on claude-opus-5 and $15.00 per million on kimi-k3. Input tokens cost $5.00 per million on claude-opus-5 and $3.00 per million on kimi-k3. Cached input tokens are billed at $0.50 per million on claude-opus-5 and $0.30 per million on kimi-k3. Context windows are 1,000,000 tokens on claude-opus-5 and 1,048,576 tokens on kimi-k3. First-token latency measured on AIHubMix is 1.4s on claude-opus-5 and 6.8s on kimi-k3. Measured output throughput is 56.7 tokens/s on claude-opus-5 and 32.2 tokens/s on kimi-k3. On the LMArena coding leaderboard claude-opus-5 scores 1532 and kimi-k3 scores 1531.

Anthropicclaude-opus-5Moonshot AIkimi-k3
+ Add model 2/4
Anthropic
claude-opus-5
Anthropic · text, image → text

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis of charts and documents, complex office deliverables, and coordinating parallel subagents. The model maintains strong instruction following and tool use across extended tasks, while remaining effective at lower effort settings for workloads that prioritize latency and token efficiency.

Input$5.00 /M
Output$25.00 /M
Details
Moonshot AI
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

Specs & Pricing

Prices are per million tokens. Latency and throughput are rolling averages measured on AIHubMix.

claude-opus-5
kimi-k3
Input price
$5.00
$3.00
Output price
$25.00
$15.00
Cache read
$0.50
$0.30
Context window
1,000,000
1,048,576
Max output
128,000
1,048,576
Latency (first token)
1.4 s
6.8 s
Throughput
56.7 TPS
32.2 TPS
Modalities
textimage
textimagevideo
Features
thinkingtoolsstructured outputslong contextweb
thinkingfunction callingstructured outputs
Endpoints
chat_completions · claude_api · responses

Promotional prices show the discounted rate; see each model page for promotion windows.

Usage on AIHubMix last 30 days

Daily traffic served through AIHubMix — how demand for each model is trending.

claude-opus-5kimi-k3

Tokens / day

-

Requests / day

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Live Performance last 3 days

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

claude-opus-5kimi-k3

Throughput (TPS)

-

Latency (s)

-

Uptime (%)

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Arena Scores

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

Text
claude-opus-5kimi-k3
1440150015601620
Overall
14861492
Coding
15311532
Math
15371537
Hard prompts
15051520
Instruction following
14791498
Multi-turn
14861499
Creative writing
14701472
Longer query
15021506
Chinese
15271590
English
14911493

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-5
$675 /mo

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

FAQ

Which is cheaper: claude-opus-5, kimi-k3?

kimi-k3: $15.00/M output tokens; claude-opus-5: $25.00/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

claude-opus-5: 1532; kimi-k3: 1531 (LMArena coding leaderboard).

Which responds faster?

claude-opus-5: 1.4s first-token latency 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-5 accepts 1,000,000 and kimi-k3 accepts 1,048,576 input tokens. Maximum output per request is 128,000 tokens on claude-opus-5 and 1,048,576 tokens on kimi-k3.

Which one generates tokens faster?

claude-opus-5 at 56.7 tokens/s and kimi-k3 at 32.2 tokens/s, measured as output throughput on AIHubMix — a separate metric from first-token latency.

What inputs and capabilities does each model support?

claude-opus-5 accepts text and image input and supports thinking, tool calling, structured outputs, long context and web search; kimi-k3 accepts text, image and video input and supports thinking, function calling and structured outputs.

Can I call claude-opus-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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