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Llama 3.3 70B Instruct vs Qwen3 VL 30B A3B

meta-llama/llama-3.3-70b-instruct · qwen/qwen3-vl-30b-a3b-thinking

As of November 5, 2026, Llama 3.3 70B Instruct is the cheaper API on UberLLM: $0.0145 per million input tokens and $0.0465 per million output, versus $0.1400 / $0.6300 for Qwen3 VL 30B A3B, about 92% less when output is 3 tokens for every input token. These are the best prices on the market right now. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose Llama 3.3 70B Instruct to cut cost; choose Qwen3 VL 30B A3B when its capabilities fit your task better.

Llama 3.3 70B Instruct vs Qwen3 VL 30B A3B, side by side

SpecLlama 3.3 70B InstructQwen3 VL 30B A3B
Price · input / 1M$0.0145$0.1400
Price · output / 1M$0.0465$0.6300
Context length128,000128,000
Max output tokens4,0964,096
Input modalitiestexttext, image
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)—Yes
Reasoning—Yes
% off list92.7% off46.9% off

Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 5, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?

Llama 3.3 70B Instruct vs Qwen3 VL 30B A3B — FAQ

Is Llama 3.3 70B Instruct or Qwen3 VL 30B A3B cheaper?

Llama 3.3 70B Instruct is cheaper on a blended token mix, by about 92%. A request costs what its provider charged, UberLLM adds no fee, and every request is listed with its cost in Activity.

What's the price difference between Llama 3.3 70B Instruct and Qwen3 VL 30B A3B?

Llama 3.3 70B Instruct: $0.0145 in / $0.0465 out per 1M tokens. Qwen3 VL 30B A3B: $0.1400 in / $0.6300 out per 1M tokens. That's roughly a 92% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Llama 3.3 70B Instruct and Qwen3 VL 30B A3B with one API?

Yes. Both are served through a single OpenAI-compatible endpoint — set the base URL to https://api.uberllm.dev/v1 and your UberLLM key, then switch between them by changing the model id. Anthropic SDKs work via https://api.uberllm.dev/v1/messages.

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