Which is cheaper, Qwen2.5 VL 72B Instruct or Qwen3 VL 30B A3B Thinking?
As of August 25, 2026, Qwen3 VL 30B A3B Thinking is 33% cheaper on blended LLM API pricing. Qwen3 VL 30B A3B Thinking costs $0.20 per million input tokens and $1.00 per million output tokens ($1.20 blended 1M-in + 1M-out). Qwen2.5 VL 72B Instruct costs $0.80 / $1.00 per million tokens ($1.80 blended). Sources: https://openrouter.ai/api/v1/models and https://bailian.console.aliyun.com/. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does Qwen2.5 VL 72B Instruct vs Qwen3 VL 30B A3B Thinking cost per million tokens?
Qwen2.5 VL 72B Instruct OpenRouter API pricing is $0.80 input and $1.00 output per million tokens via OpenRouter. Qwen3 VL 30B A3B Thinking Qwen API pricing is $0.20 input and $1.00 output per million tokens via Qwen. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Which is better for coding, Qwen2.5 VL 72B Instruct or Qwen3 VL 30B A3B Thinking?
Neither Qwen2.5 VL 72B Instruct nor Qwen3 VL 30B A3B Thinking has a published SWE-bench or LiveCodeBench score on this page yet. Use the comparison table for the evals that do exist.
What is the context window for Qwen2.5 VL 72B Instruct vs Qwen3 VL 30B A3B Thinking?
Qwen2.5 VL 72B Instruct supports a 131K token context window, while Qwen3 VL 30B A3B Thinking supports 262K tokens. Qwen3 VL 30B A3B Thinking offers a larger context window. Filling a larger window bills more input tokens, so the cheaper-per-million model can still cost more on long documents.
Which model performs better on benchmarks, Qwen2.5 VL 72B Instruct or Qwen3 VL 30B A3B Thinking?
Qwen3 VL 30B A3B Thinking leads on 12 of 15 shared benchmarks versus Qwen2.5 VL 72B Instruct's 3 wins. Check the comparison table for GPQA Diamond, SWE-bench, MMLU, HLE, and the other evals we track. Token price and benchmark score together are the usual LLM comparison, not either number alone.
Is Qwen2.5 VL 72B Instruct or Qwen3 VL 30B A3B Thinking better for production use?
Both Qwen2.5 VL 72B Instruct and Qwen3 VL 30B A3B Thinking are production API models. For cost-sensitive production traffic, Qwen3 VL 30B A3B Thinking has better economics on the blended 1M-in + 1M-out scale. For maximum capability, weight the benchmark table for your domain. Many production stacks route cheap models for drafts and a frontier model for the hard turn, which is usually cheaper than sending everything to the expensive API.
Can I switch between Qwen2.5 VL 72B Instruct and Qwen3 VL 30B A3B Thinking in my app?
Yes. Call Qwen2.5 VL 72B Instruct through OpenRouter and Qwen3 VL 30B A3B Thinking through Qwen with separate API keys, or through a gateway that already wraps both. Keep prompts in tokens, not characters, when you estimate the invoice. AnotherWrapper templates can swap providers without rewriting auth and billing.
How accurate is this Qwen2.5 VL 72B Instruct vs Qwen3 VL 30B A3B Thinking pricing data?
List rates are the latest published OpenRouter API pricing and Qwen API pricing, quoted per million tokens. Official rate sheets: https://openrouter.ai/api/v1/models and https://bailian.console.aliyun.com/. Prompt caching, batch APIs, and committed-use discounts can change the invoice. Benchmark scores are from official publications and independent evals, updated as new numbers land.
What is the output token limit for Qwen2.5 VL 72B Instruct and Qwen3 VL 30B A3B Thinking?
Qwen2.5 VL 72B Instruct supports up to an unspecified number of output tokens per request, while Qwen3 VL 30B A3B Thinking supports up to 33K output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.
Which model has better throughput, Qwen2.5 VL 72B Instruct or Qwen3 VL 30B A3B Thinking?
Neither Qwen2.5 VL 72B Instruct nor Qwen3 VL 30B A3B Thinking has published throughput data on this page yet. Throughput (tokens per second) and time-to-first-token are why two models with the same per-million-token price can still feel different in chat and agents.
How do I switch the models in this Qwen2.5 VL 72B Instruct vs Qwen3 VL 30B A3B Thinking comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Qwen2.5 VL 72B Instruct or Qwen3 VL 30B A3B Thinking from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
