AI model comparison

Qwen3 VL 30B A3B Instruct vs Llama 4 Scout

Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.

Qwen3-VL-30B-A3B-Instruct is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Instruct variant optimizes instruction-following for general multimodal tasks.

Input / 1M
$0.15
Output / 1M
$0.60
Context
262K

Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B.

Input / 1M
$0.18
Output / 1M
$0.59
Context
1.31M

At a glance

Quick verdict

How the two models stack up on the things people ask about most.

Lower price

qwen logo

Qwen3 VL 30B A3B Instruct

1.1x cheaper for a typical chat

Higher intelligence score

meta-llama logo

Llama 4 Scout

8.1 vs 7.9 on Artificial Analysis

Larger context window

meta-llama logo

Llama 4 Scout

1.31M vs 262K tokens

Newer release

qwen logo

Qwen3 VL 30B A3B Instruct

Released October 6, 2025

Benchmarks

Benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

qwen logoQwen3 VL 30B A3B Instruct7.9
meta-llama logoLlama 4 Scout8.1

Coding index

qwen logoQwen3 VL 30B A3B InstructNot available
meta-llama logoLlama 4 Scout8.2

Agentic index

qwen logoQwen3 VL 30B A3B InstructNot available
meta-llama logoLlama 4 Scout0.5

Pricing

Qwen3 VL 30B A3B Instruct vs Llama 4 Scout API pricing

Per-token API rates. Cheaper option highlighted.

Metricqwen logoQwen3 VL 30B A3B Instructmeta-llama logoLlama 4 Scout
Input tokensPer 1M tokens$0.15$0.18
Output tokensPer 1M tokens$0.60$0.59
Cached input (read)Per 1M tokensNot availableNot available
Cache writePer 1M tokensNot availableNot available

What it costs in practice

Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.

Chat message

2K in, 500 out

qwen logoQwen3 VL 30B A3B Instruct$0.60
meta-llama logoLlama 4 Scout$0.66

Coding task

30K in, 4K out

qwen logoQwen3 VL 30B A3B Instruct$6.90
meta-llama logoLlama 4 Scout$7.76

Long document summary

150K in, 2K out

qwen logoQwen3 VL 30B A3B Instruct$23.70
meta-llama logoLlama 4 Scout$28.18

Specs

Context window and capabilities

How much each model can read, how much it can write, and what it accepts as input.

Metricqwen logoQwen3 VL 30B A3B Instructmeta-llama logoLlama 4 Scout
Context window262K tokens1.31M tokens
Max output16K tokens118K tokens
Input typesImage, TextImage, Text
Output typesTextText
Reasoning effort levelsNot availableNot available
Default reasoning effortNot availableNot available
Release dateOctober 6, 2025April 5, 2025

Features

Supported features

API features available for each model.

Metricqwen logoQwen3 VL 30B A3B Instructmeta-llama logoLlama 4 Scout
Tool callingSupportedSupported
Structured outputsSupportedSupported
JSON modeSupportedSupported
ReasoningNot supportedNot supported
TemperatureSupportedSupported
Stop sequencesSupportedSupported
Deterministic seedSupportedSupported
Verbosity controlNot supportedNot supported

Our take

Qwen3 VL 30B A3B Instruct is 1.1x cheaper for a typical chat. Llama 4 Scout scores higher on the Artificial Analysis Intelligence Index (8.1 vs 7.9). Llama 4 Scout has the larger context window (1.31M vs 262K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.

FAQ

Frequently asked questions

Is Qwen3 VL 30B A3B Instruct or Llama 4 Scout cheaper?

Qwen3 VL 30B A3B Instruct is cheaper for a typical chat (2K input tokens and 500 output tokens). Qwen3 VL 30B A3B Instruct costs $0.15 per 1M input tokens and $0.60 per 1M output tokens, while Llama 4 Scout costs $0.18 per 1M input tokens and $0.59 per 1M output tokens.

Which has a bigger context window, Qwen3 VL 30B A3B Instruct or Llama 4 Scout?

Llama 4 Scout supports up to 1.31M tokens of context, compared with 262K for Qwen3 VL 30B A3B Instruct.

Is Qwen3 VL 30B A3B Instruct smarter than Llama 4 Scout?

On the Artificial Analysis Intelligence Index, Qwen3 VL 30B A3B Instruct scores 7.9 and Llama 4 Scout scores 8.1, putting Llama 4 Scout ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.

Can I use Qwen3 VL 30B A3B Instruct and Llama 4 Scout at the same time?

Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Qwen3 VL 30B A3B Instruct and Llama 4 Scout answer side by side and keep the better response.

qwen logometa-llama logo

Why choose? Ask both.

Send one prompt to Qwen3 VL 30B A3B Instruct and Llama 4 Scout at the same time. Compare the answers side by side and keep the best one.