Output tokens cost $0.45 per million on DeepSeek V3.2 and $6.00 per million on Grok 4.5. Input tokens cost $0.30 per million on DeepSeek V3.2 and $2.00 per million on Grok 4.5. Cached input tokens are billed at $0.03 per million on DeepSeek V3.2 and $0.50 per million on Grok 4.5. Context lengths are 128,000 tokens on DeepSeek V3.2 and 500,000 tokens on Grok 4.5. Time to first token (TTFT) measured on AIHubMix is 2.0s on DeepSeek V3.2 and 1.6s on Grok 4.5. Measured output throughput is 30.8 tok/s on DeepSeek V3.2 and 25.2 tok/s on Grok 4.5. On the LMArena coding leaderboard DeepSeek V3.2 scores 1470 and Grok 4.5 scores 1523.
DeepSeek V3.2
Grok 4.5DeepSeek-V3.2 is an efficient large language model equipped with DeepSeek Sparse Attention and reinforced reasoning performance, but its core strength lies in powerful agentic capabilities—enabled by large-scale task-synthesis that tightly integrates reasoning with real-world tool use, delivering robust, compliant, and generalizable agent behaviour. Users can toggle deeper reasoning through the reasoning_enabled switch.
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. 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.
DeepSeek V3.2: $0.45/M output tokens; Grok 4.5: $6.00/M. Use the cost calculator above to estimate your own workload.
Grok 4.5: 1523; DeepSeek V3.2: 1470 (LMArena coding leaderboard).
Grok 4.5: 1.6s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
DeepSeek V3.2 accepts 128,000 and Grok 4.5 accepts 500,000 input tokens. Maximum output per request is 64,000 tokens on DeepSeek V3.2 and 500,000 tokens on Grok 4.5.
DeepSeek V3.2 at 30.8 tok/s and Grok 4.5 at 25.2 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
DeepSeek V3.2 accepts text input and supports tool calling, function calling, structured outputs and thinking; 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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