Compare Claude Opus 4.8 from Anthropic and ERNIE 4.5 Turbo VL from Baidu on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Claude Opus 4.8
ERNIE 4.5 Turbo VLClaude Opus 4.8 is Anthropic’s newest and most powerful publicly available model. It is suitable for the most complex tasks. It is Anthropic’s strongest model for complex reasoning, long-horizon agent programming, and highly autonomous work.claude-opus-4-8 does not display thought content by default; you need to set the additional parameter "display": "summarized" to enable it
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.
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.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
ERNIE 4.5 Turbo VL: $1.2/M output tokens; Claude Opus 4.8: $25/M. Use the cost calculator above to estimate your own workload.
ERNIE 4.5 Turbo VL: 0.7s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Claude Opus 4.8 accepts 1,000,000 and ERNIE 4.5 Turbo VL accepts 139,000 input tokens. Maximum output per request is 128,000 tokens on Claude Opus 4.8 and 16,000 tokens on ERNIE 4.5 Turbo VL.
Claude Opus 4.8 at 82.6 tok/s and ERNIE 4.5 Turbo VL at 5.5 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
Claude Opus 4.8 accepts text, image and PDF input and supports thinking, tool calling, function calling and structured outputs; ERNIE 4.5 Turbo VL accepts text and image input and supports tool calling, 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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