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Llama 3.3 70B Instruct vs Qwen3 30B A3B

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

As of October 31, 2026, Llama 3.3 70B Instruct is the cheaper API on UberLLM: $0.0479 per million input tokens and $0.1533 per million output, versus $0.0517 / $0.2152 for Qwen3 30B A3B, about 27% less when output is 3 tokens for every input token. These are the median prices buyers paid over the last 24 hours. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose Llama 3.3 70B Instruct to cut cost; choose Qwen3 30B A3B when context size wins. Qwen3 30B A3B carries the larger context window (256,000 vs 128,000 tokens), which can matter for long-document work.

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

SpecLlama 3.3 70B InstructQwen3 30B A3B
Price · input / 1M$0.0479$0.0517
Price · output / 1M$0.1533$0.2152
Context length128,000256,000
Max output tokens4,09632,768
Input modalitiestexttext
Output modalitiestexttext
Tools / functionsYesYes
Reasoning—Yes
% off list52% off57% off

Median prices buyers paid on UberLLM over the last 24 hours. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated October 31, 2026.

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

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

Llama 3.3 70B Instruct is cheaper on a blended token mix, by about 27%. 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 30B A3B?

Llama 3.3 70B Instruct: $0.0479 in / $0.1533 out per 1M tokens. Qwen3 30B A3B: $0.0517 in / $0.2152 out per 1M tokens. That's roughly a 27% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Llama 3.3 70B Instruct and Qwen3 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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