GPT-5.6 Sol (limited-time 50% off) is OpenAI’s frontier reasoning model for complex coding, professional knowledge work, deep research, and long-running agents. It supports a roughly 1.05M-token context window, image understanding, and extensive tool use. Compared with Terra and Luna, Sol prioritizes capability and reliability on demanding tasks.
GPT 5.6 Sol Disc vs Kimi K3
Output tokens cost $15.00 per million on GPT 5.6 Sol Disc and $15.00 per million on Kimi K3. Input tokens cost $2.50 per million on GPT 5.6 Sol Disc and $3.00 per million on Kimi K3. Cached input tokens are billed at $2.50 per million on GPT 5.6 Sol Disc and $0.30 per million on Kimi K3. Discounted rates are shown where a promotion is active. Context lengths are 1,050,000 tokens on GPT 5.6 Sol Disc and 1,048,576 tokens on Kimi K3. Time to first token (TTFT) measured on AIHubMix is 2.0s on GPT 5.6 Sol Disc and 0.9s on Kimi K3. Measured output throughput is 30.2 tok/s on GPT 5.6 Sol Disc and 73.1 tok/s on Kimi K3.
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 (%)
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 5.6 Sol Disc, Kimi K3?
GPT 5.6 Sol Disc: $15.00/M output tokens; Kimi K3: $15.00/M. Use the cost calculator above to estimate your own workload.
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 5.6 Sol Disc accepts 1,050,000 and Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 128,000 tokens on GPT 5.6 Sol Disc and 1,048,576 tokens on Kimi K3.
Which one generates tokens faster?
Kimi K3 at 73.1 tok/s and GPT 5.6 Sol Disc at 30.2 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 5.6 Sol Disc accepts text and image input and supports tool calling, thinking and structured outputs; Kimi K3 accepts text, image and video input and supports thinking, function calling and structured outputs.
Can I call GPT 5.6 Sol Disc 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.
