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  1. Models
  2. Text
  3. Qwen

Qwen25 VL 72b

Qwen25 VL 72b model with 32k context window

  • Vision

Added May 10, 2025

Pricing

Auto routing · per 1M tokens
Input
$0.70
Output
$0.70
Compare provider prices

Specifications

Context window
32K
Max output
32.8K
Parameters
72B
Avg output (7d)
197 tokens
Longer than 14% of models

Benchmarks

Leaderboard results

BenchmarkScoreRank on NanoGPT
UGI Leaderboard

UGI Leaderboard data, Apache-2.0 · Updated Oct 16, 2026

UGI Score

37.0

#86 of 152

UGI Willingness

5.8

#34 of 152

UGI Writing

35.6

#109 of 152

Filtered and ranked to models on NanoGPT.

Providers

Provider information for this model’s automatic routing. These routes cannot be selected individually.

Choose or restrict providers with the API. Provider-selection prices include the selection markup. Provider selection guide · Pricing API (JSON, USD per 1K tokens)

Auto
Auto
Recommended
$0.70$0.70N/AN/AN/A
Parasail
Parasail
US
$0.70$0.70N/AN/AN/A
Privacy:ZDR, prompts not retained
Batch API
ProviderInputOutputCached input
Auto
Autoqwen/qwen2.5-vl-72b-instruct
$0.70/M$0.70/MN/A

Batch rows for this model use normal routing and cost the same as standard API requests. Set provider in a row to choose a provider.

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Great multilingual support, strong at mathematics and coding, supports roleplay and chatbots.

Qwen3 VL 235B A22B Instruct Original

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Routed across multiple providers, which may include Alibaba, a Chinese entity; provider-specific privacy and logging guarantees may vary. Qwen3 Vision‑Language model (235B MoE, ≈22B active) tuned for instruction following and grounded visual QA. Excels at image understanding, dense OCR, charts and diagrams, and multi‑image context. Use this variant when you want concise, direct answers grounded in the visuals.

Qwen3 Next 80B A3B (Instruct)

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Based on the new Qwen3‑Next architecture (hybrid attention, highly sparse MoE, training‑stability optimizations, and multi‑token prediction), the Qwen3‑Next‑80B‑A3B‑Instruct model delivers extreme efficiency with only 3B active parameters per pass. It performs comparably to Qwen3‑235B‑A22B‑Instruct‑2507 and shows clear advantages on ultra‑long context tasks (up to 256K tokens).

Qwen3 Coder 30B A3B Instruct

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Qwen 3 235b A22B 2507

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Qwen 3 235b A22B Instruct 2507 the updated version of Qwen3 235B A22B, with significant improvements in performance. This model is non-thinking.