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Qwen2.5 VL 72B Instruct vs Qwen3.8 Max

Compare Qwen2.5 VL 72B Instruct from Qwen and Qwen3.8 Max 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.

QwenQwen2.5 VL 72B InstructQwenQwen3.8 Max
Qwen logo
Qwen2.5 VL 72B Instruct
Qwen · text, image → text

Strong capability in Chinese domain recognition, comparable to ChatGPT-4.0.

Input$2.4 /M
Output$7.2 /M
Qwen logo
Qwen3.8 Max
Qwen · text, image, video → text

Qwen3.8-Max is Alibaba Cloud Tongyi Qianwen's next-generation flagship large language model, featuring a mixture-of-experts (MoE) architecture with 2.4 trillion parameters. It achieves another breakthrough in encoding depth, enabling it to handle more complex engineering-grade projects and long-term autonomous development; collaborative agent capabilities are significantly enhanced, performing more confidently in multi-tool orchestration and end-to-end delivery; visual understanding is comprehensively improved, with more sensitive and accurate chart reasoning, document parsing, and multimodal perception. Continuing the 1-million-context window, reasoning modes, and a complete tool ecosystem, it continues to evolve at a higher level of intelligence.

Input$1.69 /M
Output$5.07 /M
Cache read$0.169 /M

Pricing & Specifications

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

Qwen2.5 VL 72B Instruct
Qwen3.8 Max
Input /M
$2.4
$1.69
Output /M
$7.2
$5.07
Cache read /M
-
$0.169
Context length
0
1,000,000
Max output
0
131,072
Time to First Token
-
12.5 s
Throughput
-
28.4 tok/s
Modalities
textimage
textimagevideo
Supported Parameters
toolsfunction callingstructured outputsweblong contextthinking
API Formats
Released
February 1, 2025
August 3, 2026

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.

qwen2.5-vl-72b-instructqwen3.8-max

Tokens / day

-

Requests / day

-

Performance Past 3 Days

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

qwen2.5-vl-72b-instructqwen3.8-max

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

LMArena Benchmarks

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

Vision
qwen2.5-vl-72b-instructqwen3.8-max
1100116012201280
Overall
11211301

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
$177 /mo
Qwen2.5 VL 72B Instruct
$252 /mo

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

FAQ

Which is cheaper: Qwen2.5 VL 72B Instruct, Qwen3.8 Max?

Qwen3.8 Max: $5.07/M output tokens; Qwen2.5 VL 72B Instruct: $7.2/M. Use the cost calculator above to estimate your own workload.

What inputs and capabilities does each model support?

Qwen2.5 VL 72B Instruct accepts text and image input; Qwen3.8 Max accepts text, image and video input and supports tool calling, function calling, structured outputs, web search, long context and thinking.

Can I call Qwen2.5 VL 72B Instruct and Qwen3.8 Max 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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