The new version of the Wenxin Yiyan large model significantly improves capabilities in image understanding, creation, translation, and coding. It supports a context length of up to 32K tokens for the first time, with a notable reduction in the latency of the first token.
ERNIE 4.5 Turbo VL vs Grok 4.5
Output tokens cost $1.20 per million on ERNIE 4.5 Turbo VL and $6.00 per million on Grok 4.5. Input tokens cost $0.40 per million on ERNIE 4.5 Turbo VL and $2.00 per million on Grok 4.5. Cached input tokens are billed at $0.40 per million on ERNIE 4.5 Turbo VL and $0.50 per million on Grok 4.5. Context lengths are 139,000 tokens on ERNIE 4.5 Turbo VL and 500,000 tokens on Grok 4.5. Time to first token (TTFT) measured on AIHubMix is 0.6s on ERNIE 4.5 Turbo VL and 1.7s on Grok 4.5. Measured output throughput is 24.4 tok/s on ERNIE 4.5 Turbo VL and 26.6 tok/s on Grok 4.5.
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.
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: ERNIE 4.5 Turbo VL, Grok 4.5?
ERNIE 4.5 Turbo VL: $1.20/M output tokens; Grok 4.5: $6.00/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
ERNIE 4.5 Turbo VL: 0.6s 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?
ERNIE 4.5 Turbo VL accepts 139,000 and Grok 4.5 accepts 500,000 input tokens. Maximum output per request is 16,000 tokens on ERNIE 4.5 Turbo VL and 500,000 tokens on Grok 4.5.
Which one generates tokens faster?
Grok 4.5 at 26.6 tok/s and ERNIE 4.5 Turbo VL at 24.4 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
ERNIE 4.5 Turbo VL accepts text and image input and supports tool calling, function calling and structured outputs; Grok 4.5 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context.
Can I call ERNIE 4.5 Turbo VL and Grok 4.5 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.
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