Claude 3.7 Sonnet
Anthropic · text, image → text
Support for the thinking parameter through the original Claude SDK.
Input$3.30 /M
Output$16.50 /M
← ModelsClaude 3.7 Sonnet
Kimi K3
Claude 3.7 Sonnet vs Kimi K3
Output tokens cost $16.50 per million on Claude 3.7 Sonnet and $15.00 per million on Kimi K3. Input tokens cost $3.30 per million on Claude 3.7 Sonnet and $3.00 per million on Kimi K3. Cached input tokens are billed at $3.30 per million on Claude 3.7 Sonnet and $0.30 per million on Kimi K3. Context lengths are 200,000 tokens on Claude 3.7 Sonnet and 1,048,576 tokens on Kimi K3. Time to first token (TTFT) measured on AIHubMix is 0.6s on Claude 3.7 Sonnet and 0.9s on Kimi K3. Measured output throughput is 57.3 tok/s on Claude 3.7 Sonnet and 73.1 tok/s on Kimi K3. On the LMArena coding leaderboard Claude 3.7 Sonnet scores 1430 and Kimi K3 scores 1531.
Claude 3.7 SonnetKimi K3+ Add model · 2/4
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 3.7 Sonnet
Kimi K3
Input /M
$3.30
$3.00
Output /M
$16.50
$15.00
Cache read /M
$3.30
$0.30
Context length
200,000
1,048,576
Max output
128,000
1,048,576
Time to First Token
0.6 s
0.9 s
Throughput
57.3 tok/s
73.1 tok/s
Modalities
textimage
textimagevideo
Supported Parameters
thinkingtoolsfunction callingstructured outputs
thinkingfunction callingstructured outputs
API Formats
Released
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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-3-7-sonnetkimi-k3
Tokens / day
-
Requests / day
-
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
claude-3-7-sonnetkimi-k3
Throughput (tok/s)
-
TTFT (s)
-
Uptime (%)
-
LMArena Benchmarks
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Text
claude-3-7-sonnetkimi-k3
1340140014601520
Overall
13711486
Coding
14301531
Math
13621362
Hard prompts
13981505
Instruction following
13841479
Multi-turn
13961499
Creative writing
13761470
Longer query
14101502
Chinese
13811527
English
13851491
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 3.7 Sonnet
$446 /mo
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: Claude 3.7 Sonnet, Kimi K3?
Kimi K3: $15.00/M output tokens; Claude 3.7 Sonnet: $16.50/M. Use the cost calculator above to estimate your own workload.
How do their coding arena scores compare?
Kimi K3: 1531; Claude 3.7 Sonnet: 1430 (LMArena coding leaderboard).
Which responds faster?
Claude 3.7 Sonnet: 0.6s 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 3.7 Sonnet accepts 200,000 and Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 128,000 tokens on Claude 3.7 Sonnet and 1,048,576 tokens on Kimi K3.
Which one generates tokens faster?
Kimi K3 at 73.1 tok/s and Claude 3.7 Sonnet at 57.3 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 3.7 Sonnet 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 3.7 Sonnet 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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