GPT-5 mini is a faster, more cost-efficient version of GPT-5. It's great for well-defined tasks and precise prompts.
GPT 5 Mini vs Kimi K3
Output tokens cost $2.00 per million on GPT 5 Mini and $15.00 per million on Kimi K3. Input tokens cost $0.25 per million on GPT 5 Mini and $3.00 per million on Kimi K3. Cached input tokens are billed at $0.03 per million on GPT 5 Mini and $0.30 per million on Kimi K3. Context lengths are 400,000 tokens on GPT 5 Mini and 1,048,576 tokens on Kimi K3. Time to first token (TTFT) measured on AIHubMix is 3.0s on GPT 5 Mini and 0.9s on Kimi K3. Measured output throughput is 91.8 tok/s on GPT 5 Mini and 73.1 tok/s on Kimi K3. On the LMArena coding leaderboard GPT 5 Mini scores 1430 and Kimi K3 scores 1531.
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.
Pricing & Specifications
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.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
Requests / day
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
LMArena Benchmarks
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.
Cost calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: GPT 5 Mini, Kimi K3?
GPT 5 Mini: $2.00/M output tokens; Kimi K3: $15.00/M. Use the cost calculator above to estimate your own workload.
How do their coding arena scores compare?
Kimi K3: 1531; GPT 5 Mini: 1430 (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?
GPT 5 Mini accepts 400,000 and Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 128,000 tokens on GPT 5 Mini and 1,048,576 tokens on Kimi K3.
Which one generates tokens faster?
GPT 5 Mini at 91.8 tok/s and Kimi K3 at 73.1 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
GPT 5 Mini 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 GPT 5 Mini 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.
Popular comparisons
Related model match-ups readers also look at.
