Models

ERNIE 5.0 vs Qwen3.8 Max Preview

Compare ERNIE 5.0 from Baidu and Qwen3.8 Max Preview from Qwen on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.

BaiduERNIE 5.0QwenQwen3.8 Max Preview
Baidu logo
ERNIE 5.0
Baidu · text, image, audio, video → text

ERNIE 5.0 is the next-generation natively multimodal foundation model in the ERNIE family. Built on a unified multimodal architecture, it jointly learns from text, images, audio, and video to deliver broad multimodal capabilities. ERNIE 5.0 features significantly upgraded core capabilities and shows strong performance across benchmarks, with notable gains in multimodal understanding, instruction following, creative writing, factual accuracy, and agent planning with tool use.

Input$0.82 /M
Output$3.29 /M
Qwen logo
Qwen3.8 Max Preview
Qwen · text, image → text

Qwen 3.8 Max Preview(Qwen3.8-Max-Preview) is the latest-generation foundation model in the Qwen family, packing 2.4T parameters and still evolving. Compared with the previous flagship Qwen 3.7 Max, it delivers major gains in core capabilities like Coding and Cowork (professional productivity), with world-leading performance on complex, long-horizon tasks such as full-stack development, data analysis, and Office workflows. Launch offer: Credits are consumed at just 20% of the standard rate, effectively 5× your usage. Limited time only.

Input$0.34 /M
Output$1.01 /M

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

ERNIE 5.0
Qwen3.8 Max Preview
Input /M
$0.82
$0.34
Output /M
$3.29
$1.01
Cache read /M
$0.82
$0.03
Context length
119,000
983,616
Max output
64,000
131,072
Time to First Token
-
2.4 s
Throughput
-
48.1 tok/s
Modalities
textimageaudiovideo
textimage
Supported Parameters
thinking
toolsfunction callingstructured outputsweblong contextthinking
API Formats
Released
-
-

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.

ernie-5.0qwen3.8-max-preview

Tokens / day

-

Requests / day

-

Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

ernie-5.0qwen3.8-max-preview

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

LMArena Benchmarks

LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.

Text
ernie-5.0qwen3.8-max-preview
1400146015201580
Overall
14471481
Coding
14901520
Math
14361504
Hard prompts
14651506
Instruction following
14271478
Multi-turn
14421496
Creative writing
14231469
Longer query
14411497
Chinese
14951545
English
14521486

Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.

Cost calculator

Estimate your monthly bill for the same workload on each model.

Qwen3.8 Max Preview
$35.49 /mo
ERNIE 5.0
$98.63 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

Which is cheaper: ERNIE 5.0, Qwen3.8 Max Preview?

Qwen3.8 Max Preview: $1.01/M output tokens; ERNIE 5.0: $3.29/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

Qwen3.8 Max Preview: 1520; ERNIE 5.0: 1490 (LMArena coding leaderboard).

How large is each context window?

ERNIE 5.0 accepts 119,000 and Qwen3.8 Max Preview accepts 983,616 input tokens. Maximum output per request is 64,000 tokens on ERNIE 5.0 and 131,072 tokens on Qwen3.8 Max Preview.

What inputs and capabilities does each model support?

ERNIE 5.0 accepts text, image, audio and video input and supports thinking; Qwen3.8 Max Preview accepts text and image input and supports tool calling, function calling, structured outputs, web search, long context and thinking.

Can I call ERNIE 5.0 and Qwen3.8 Max Preview 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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