Output tokens cost $30.00 per million on gpt-5.5 and $6.00 per million on grok-4.5. Input tokens cost $5.00 per million on gpt-5.5 and $2.00 per million on grok-4.5. Cached input tokens are billed at $0.50 per million on gpt-5.5 and $0.50 per million on grok-4.5. Context windows are 1,050,000 tokens on gpt-5.5 and 1,000,000 tokens on grok-4.5. First-token latency measured on AIHubMix is 5.4s on gpt-5.5 and 1.8s on grok-4.5. Measured output throughput is 49.1 tokens/s on gpt-5.5 and 38.4 tokens/s on grok-4.5. On the LMArena coding leaderboard gpt-5.5 scores 1508 and grok-4.5 scores 1520.
gpt-5.5
grok-4.5GPT-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.
Grok 4.5 was trained on datasets spanning knowledge in coding, science, engineering, and math. With both intelligent and efficient reasoning, Grok 4.5 excels at real engineering tasks and exceeds comparable leading models at these tasks.
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.
grok-4.5: $6.00/M output tokens; gpt-5.5: $30.00/M. Use the cost calculator above to estimate your own workload.
grok-4.5: 1520; gpt-5.5: 1508 (LMArena coding leaderboard).
grok-4.5: 1.8s 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 grok-4.5 accepts 1,000,000 input tokens. Maximum output per request is 128,000 tokens on gpt-5.5 and 1,000,000 tokens on grok-4.5.
gpt-5.5 at 49.1 tokens/s and grok-4.5 at 38.4 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; grok-4.5 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context.
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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