Model Comparison

Llama 4 Maverick vs Qwen3 235B A22B

Qwen3 235B A22B has a slight edge in benchmark performance. Qwen3 235B A22B is 2.8x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

Llama 4 Maverick outperforms in 3 benchmarks (GPQA, MGSM, MMLU-Pro), while Qwen3 235B A22B is better at 4 benchmarks (LiveCodeBench, MATH, MBPP, MMLU).

Qwen3 235B A22B has a slight edge in benchmark performance.

Thu Jun 04 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 235B A22B costs less

For input processing, Llama 4 Maverick ($0.17/1M tokens) is 1.7x more expensive than Qwen3 235B A22B ($0.10/1M tokens).

For output processing, Llama 4 Maverick ($0.60/1M tokens) is 6.0x more expensive than Qwen3 235B A22B ($0.10/1M tokens).

In conclusion, Llama 4 Maverick is more expensive than Qwen3 235B A22B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers

Thu Jun 04 2026 • llm-stats.com

Llama 4 Maverick

Input tokens$0.17

Output tokens$0.60

Best providerDeepinfra

Qwen3 235B A22B

Input tokens$0.10

Output tokens$0.10

Best providerFireworks

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

165.0B diff

Llama 4 Maverick has 165.0B more parameters than Qwen3 235B A22B, making it 70.2% larger.

Llama 4 Maverick

400.0Bparameters

Qwen3 235B A22B

235.0Bparameters

400.0B

Llama 4 Maverick

235.0B

Qwen3 235B A22B

Context Window

Maximum input and output token capacity

Llama 4 Maverick accepts 1,000,000 input tokens compared to Qwen3 235B A22B's 128,000 tokens. Llama 4 Maverick can generate longer responses up to 1,000,000 tokens, while Qwen3 235B A22B is limited to 128,000 tokens.

Llama 4 Maverick

Input1,000,000 tokens

Output1,000,000 tokens

Qwen3 235B A22B

Input128,000 tokens

Output128,000 tokens

Thu Jun 04 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 4 Maverick supports multimodal inputs, whereas Qwen3 235B A22B does not.

Llama 4 Maverick can handle both text and other forms of data like images, making it suitable for multimodal applications.

Llama 4 Maverick

Text

Images

Audio

Video

Qwen3 235B A22B

Text

Images

Audio

Video

License

Usage and distribution terms

Llama 4 Maverick is licensed under Llama 4 Community License Agreement, while Qwen3 235B A22B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Llama 4 Maverick

Llama 4 Community License Agreement

Open weights

Qwen3 235B A22B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 4 Maverick was released on 2025-04-05, while Qwen3 235B A22B was released on 2025-04-29.

Qwen3 235B A22B is 1 month newer than Llama 4 Maverick.

Llama 4 Maverick

Apr 5, 2025

1.2 years ago

Qwen3 235B A22B

Apr 29, 2025

1.1 years ago

3w newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Llama 4 Maverick is available from DeepInfra, Novita, Lambda, Groq, Fireworks, Together, Sambanova. Qwen3 235B A22B is available from Fireworks, DeepInfra, Novita, Together.

Llama 4 Maverick

Deepinfra

Input Price:Input: $0.17/1MOutput Price:Output: $0.60/1M

Novita

Input Price:Input: $0.17/1MOutput Price:Output: $0.85/1M

Lambda

Input Price:Input: $0.18/1MOutput Price:Output: $0.60/1M

Groq

Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M

Fireworks

Input Price:Input: $0.22/1MOutput Price:Output: $0.88/1M

Together

Input Price:Input: $0.27/1MOutput Price:Output: $0.85/1M

Sambanova

Input Price:Input: $0.63/1MOutput Price:Output: $1.79/1M

Qwen3 235B A22B

Fireworks

Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M

Deepinfra

Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M

Novita

Input Price:Input: $0.20/1MOutput Price:Output: $0.80/1M

Together

Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Llama 4 Maverick

View details

Qwen3 235B A22B

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Higher LiveCodeBench score (70.7% vs 43.4%)

Higher MATH score (71.8% vs 61.2%)

Higher MBPP score (81.4% vs 77.6%)

Higher MMLU score (87.8% vs 85.5%)

Detailed Comparison

AI Model Comparison Table
Feature	Llama 4 Maverick	Qwen3 235B A22B

FAQ

Common questions about Llama 4 Maverick vs Qwen3 235B A22B.

Which is better, Llama 4 Maverick or Qwen3 235B A22B?

Qwen3 235B A22B has a slight edge in benchmark performance. Llama 4 Maverick is made by Meta and Qwen3 235B A22B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Llama 4 Maverick compare to Qwen3 235B A22B in benchmarks?

Llama 4 Maverick scores DocVQA: 94.4%, MGSM: 92.3%, ChartQA: 90.0%, MMLU: 85.5%, MMLU-Pro: 80.5%. Qwen3 235B A22B scores Arena Hard: 95.6%, GSM8k: 94.4%, BBH: 88.9%, MMLU: 87.8%, MMLU-Redux: 87.4%.

Is Llama 4 Maverick cheaper than Qwen3 235B A22B?

Qwen3 235B A22B is 1.7x cheaper for input tokens. Llama 4 Maverick costs $0.17/M input and $0.60/M output via deepinfra. Qwen3 235B A22B costs $0.10/M input and $0.10/M output via fireworks.

What are the context window sizes for Llama 4 Maverick and Qwen3 235B A22B?

Llama 4 Maverick supports 1.0M tokens and Qwen3 235B A22B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Llama 4 Maverick and Qwen3 235B A22B?

Key differences include context window (1.0M vs 128K), input pricing ($0.17 vs $0.10/M), multimodal support (yes vs no), licensing (Llama 4 Community License Agreement vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 4 Maverick and Qwen3 235B A22B?

Llama 4 Maverick is developed by Meta and Qwen3 235B A22B is developed by Alibaba Cloud / Qwen Team.