Llama 4 Scout vs Qwen3-235B-A22B

Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.

Llama 4 Scout

Meta · Apr 2025

A 10M-token context window — still the largest ever shipped — in a 109B MoE that fits on a single H100.

Qwen3-235B-A22B

Alibaba (Qwen) · Jul 2025

69.0

The most popular open general-purpose Qwen: 235B MoE with hybrid thinking, a staple of the 2025 open-source ecosystem.

The verdict

Qwen3-235B-A22B wins 2 of the 2 benchmarks these models share, against 0 for Llama 4 Scout. Llama 4 Scout is about 1.4x cheaper per blended million tokens (3:1 input:output mix). Llama 4 Scout also takes 10M of context versus 262K for Qwen3-235B-A22B.

Benchmark head-to-head 02

GPQA Diamond
57.2%81.1%
Llama 4 ScoutQwen3-235B-A22B
MMLU-Pro
74.3%84.4%
Llama 4 ScoutQwen3-235B-A22B

Specs & pricing

Llama 4 ScoutQwen3-235B-A22B
modhub Index69.0
Input price / 1M$0.18$0.22
Output price / 1M$0.59$0.88
Context window10M262K
Max output33K
Open weightsyes (Llama 4 Community License)yes (Apache 2.0)
Reasoning modelnoyes
Multimodal inputtext, imagetext
Knowledge cutoffAug 2024Apr 2025
ReleasedApr 2025Jul 2025
Example monthly cost*$2.68$3.52

* 10M input + 1.5M output tokens per month at list prices, no caching. Green = better value on that row.

Frequently asked questions

Which is better, Llama 4 Scout or Qwen3-235B-A22B?
Qwen3-235B-A22B wins 2 of the 2 benchmarks these models share, against 0 for Llama 4 Scout. Llama 4 Scout is about 1.4x cheaper per blended million tokens (3:1 input:output mix). Llama 4 Scout also takes 10M of context versus 262K for Qwen3-235B-A22B.
Which is cheaper, Llama 4 Scout or Qwen3-235B-A22B?
Llama 4 Scout costs $0.18/$0.59 per million input/output tokens, while Qwen3-235B-A22B costs $0.22/$0.88. For a typical workload of 10M input and 1.5M output tokens per month, that's $2.68 versus $3.52.
Which model is better for coding, Llama 4 Scout or Qwen3-235B-A22B?
We don't yet track SWE-bench Verified results for both models; check their individual pages for coding-related scores.

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