Output tokens cost $25.00 per million on Claude Opus 4.7 Thinking and $15.00 per million on Kimi K3. Input tokens cost $5.00 per million on Claude Opus 4.7 Thinking and $3.00 per million on Kimi K3. Cached input tokens are billed at $0.50 per million on Claude Opus 4.7 Thinking and $0.30 per million on Kimi K3. Context lengths are 200,000 tokens on Claude Opus 4.7 Thinking and 1,048,576 tokens on Kimi K3. Time to first token (TTFT) measured on AIHubMix is 1.6s on Claude Opus 4.7 Thinking and 0.9s on Kimi K3. Measured output throughput is 89.2 tok/s on Claude Opus 4.7 Thinking and 73.1 tok/s on Kimi K3. On the LMArena coding leaderboard Claude Opus 4.7 Thinking scores 1547 and Kimi K3 scores 1531.
Claude Opus 4.7 Thinking
Kimi K3The claude-opus-4-7-think model has adaptive thinking mode pre-enabled; the default thinking intensity is "medium", and it can be invoked directly via the OpenAI unified API. The claude-opus-4-7 model does not display thinking content by default; you need to set the extra parameter "display": "summarized" to enable it.
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.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Daily traffic served through AIHubMix — how demand for each model is trending.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
Kimi K3: $15.00/M output tokens; Claude Opus 4.7 Thinking: $25.00/M. Use the cost calculator above to estimate your own workload.
Claude Opus 4.7 Thinking: 1547; Kimi K3: 1531 (LMArena coding leaderboard).
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.
Claude Opus 4.7 Thinking accepts 200,000 and Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 32,000 tokens on Claude Opus 4.7 Thinking and 1,048,576 tokens on Kimi K3.
Claude Opus 4.7 Thinking at 89.2 tok/s and Kimi K3 at 73.1 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
Claude Opus 4.7 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.
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.
Related model match-ups readers also look at.
AIHubMix