Output tokens cost $30.00 per million on gpt-5.5 and $15.00 per million on kimi-k3. Input tokens cost $5.00 per million on gpt-5.5 and $3.00 per million on kimi-k3. Cached input tokens are billed at $0.50 per million on gpt-5.5 and $0.30 per million on kimi-k3. Context windows are 1,050,000 tokens on gpt-5.5 and 1,048,576 tokens on kimi-k3. First-token latency measured on AIHubMix is 5.4s on gpt-5.5 and 6.8s on kimi-k3. Measured output throughput is 49.1 tokens/s on gpt-5.5 and 32.2 tokens/s on kimi-k3. On the LMArena coding leaderboard gpt-5.5 scores 1508 and kimi-k3 scores 1531.
gpt-5.5
kimi-k3GPT-5.5 raises the baseline for complex production workflows. It’s a strong fit for coding use cases, tool-heavy agents, grounded assistants, long-context retrieval, product-spec-to-plan workflows, and customer-facing workflows where execution quality and response polish are critical.
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. Latency 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; gpt-5.5: $30.00/M. Use the cost calculator above to estimate your own workload.
kimi-k3: 1531; gpt-5.5: 1508 (LMArena coding leaderboard).
gpt-5.5: 5.4s first-token latency measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
gpt-5.5 accepts 1,050,000 and kimi-k3 accepts 1,048,576 input tokens. Maximum output per request is 128,000 tokens on gpt-5.5 and 1,048,576 tokens on kimi-k3.
gpt-5.5 at 49.1 tokens/s and kimi-k3 at 32.2 tokens/s, measured as output throughput on AIHubMix — a separate metric from first-token latency.
gpt-5.5 accepts text and image input and supports thinking, function calling, structured outputs, web search and tool calling; 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.
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