Model Comparison

Llama 3.1 405B Instruct vs Qwen3-235B-A22B-Thinking-2507

Qwen3-235B-A22B-Thinking-2507 shows notably better performance in the majority of benchmarks. Llama 3.1 405B Instruct is 1.1x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Llama 3.1 405B Instruct outperforms in 1 benchmarks (IFEval), while Qwen3-235B-A22B-Thinking-2507 is better at 2 benchmarks (GPQA, MMLU-Pro).

Qwen3-235B-A22B-Thinking-2507 shows notably better performance in the majority of benchmarks.

Thu Apr 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.1 405B Instruct costs less

For input processing, Llama 3.1 405B Instruct ($0.89/1M tokens) is 3.0x more expensive than Qwen3-235B-A22B-Thinking-2507 ($0.30/1M tokens).

For output processing, Llama 3.1 405B Instruct ($0.89/1M tokens) is 3.4x cheaper than Qwen3-235B-A22B-Thinking-2507 ($3.00/1M tokens).

In conclusion, Qwen3-235B-A22B-Thinking-2507 is more expensive than Llama 3.1 405B Instruct.*

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

Lowest available price from all providers

Thu Apr 30 2026 • llm-stats.com

Llama 3.1 405B Instruct

Input tokens$0.89

Output tokens$0.89

Best providerLambda

Qwen3-235B-A22B-Thinking-2507

Input tokens$0.30

Output tokens$3.00

Best providerFireworks

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

170.0B diff

Llama 3.1 405B Instruct has 170.0B more parameters than Qwen3-235B-A22B-Thinking-2507, making it 72.3% larger.

Llama 3.1 405B Instruct

405.0Bparameters

Qwen3-235B-A22B-Thinking-2507

235.0Bparameters

405.0B

Llama 3.1 405B Instruct

235.0B

Qwen3-235B-A22B-Thinking-2507

Context Window

Maximum input and output token capacity

Qwen3-235B-A22B-Thinking-2507 accepts 262,144 input tokens compared to Llama 3.1 405B Instruct's 128,000 tokens. Qwen3-235B-A22B-Thinking-2507 can generate longer responses up to 131,072 tokens, while Llama 3.1 405B Instruct is limited to 128,000 tokens.

Llama 3.1 405B Instruct

Input128,000 tokens

Output128,000 tokens

Qwen3-235B-A22B-Thinking-2507

Input262,144 tokens

Output131,072 tokens

Thu Apr 30 2026 • llm-stats.com

License

Usage and distribution terms

Llama 3.1 405B Instruct is licensed under Llama 3.1 Community License, while Qwen3-235B-A22B-Thinking-2507 uses Apache 2.0.

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

Llama 3.1 405B Instruct

Llama 3.1 Community License

Open weights

Qwen3-235B-A22B-Thinking-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 3.1 405B Instruct was released on 2024-07-23, while Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.

Qwen3-235B-A22B-Thinking-2507 is 12 months newer than Llama 3.1 405B Instruct.

Llama 3.1 405B Instruct

Jul 23, 2024

1.8 years ago

Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

9 months ago

1.0yr 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 3.1 405B Instruct is available from Lambda, DeepInfra, Fireworks, Bedrock, Together, Hyperbolic, Google, Replicate. Qwen3-235B-A22B-Thinking-2507 is available from Fireworks, Novita.

Llama 3.1 405B Instruct

Lambda

Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M

Deepinfra

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

Fireworks

Input Price:Input: $3.00/1MOutput Price:Output: $3.00/1M

AWS Bedrock

Input Price:Input: $3.00/1MOutput Price:Output: $3.00/1M

Together

Input Price:Input: $3.50/1MOutput Price:Output: $3.50/1M

Hyperbolic

Input Price:Input: $4.00/1MOutput Price:Output: $4.00/1M

Google

Input Price:Input: $5.00/1MOutput Price:Output: $16.00/1M

Replicate

Input Price:Input: $9.50/1MOutput Price:Output: $9.50/1M

Qwen3-235B-A22B-Thinking-2507

Fireworks

Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M

Novita

Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Llama 3.1 405B Instruct

View details

Qwen3-235B-A22B-Thinking-2507

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Less expensive input tokens

Higher GPQA score (81.1% vs 50.7%)

Higher MMLU-Pro score (84.4% vs 73.3%)

Detailed Comparison

AI Model Comparison Table
Feature	Llama 3.1 405B Instruct	Qwen3-235B-A22B-Thinking-2507

FAQ

Common questions about Llama 3.1 405B Instruct vs Qwen3-235B-A22B-Thinking-2507

Qwen3-235B-A22B-Thinking-2507 shows notably better performance in the majority of benchmarks. Llama 3.1 405B Instruct is made by Meta and Qwen3-235B-A22B-Thinking-2507 is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

Llama 3.1 405B Instruct scores ARC-C: 96.9%, GSM8k: 96.8%, API-Bank: 92.0%, Multilingual MGSM (CoT): 91.6%, HumanEval: 89.0%. Qwen3-235B-A22B-Thinking-2507 scores MMLU-Redux: 93.8%, AIME 2025: 92.3%, WritingBench: 88.3%, IFEval: 87.8%, Creative Writing v3: 86.1%.

Qwen3-235B-A22B-Thinking-2507 is 3.0x cheaper for input tokens. Llama 3.1 405B Instruct costs $0.89/M input and $0.89/M output via lambda. Qwen3-235B-A22B-Thinking-2507 costs $0.30/M input and $3.00/M output via fireworks.

Llama 3.1 405B Instruct supports 128K tokens and Qwen3-235B-A22B-Thinking-2507 supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Key differences include context window (128K vs 262K), input pricing ($0.89 vs $0.30/M), licensing (Llama 3.1 Community License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Llama 3.1 405B Instruct is developed by Meta and Qwen3-235B-A22B-Thinking-2507 is developed by Alibaba Cloud / Qwen Team.

Llama 3.1 405B Instruct vs Qwen3-235B-A22B-Thinking-2507

Performance Benchmarks

Arena Performance

Pricing Analysis

Model Size

Context Window

License

Release Timeline

Knowledge Cutoff

Provider Availability

Llama 3.1 405B Instruct

Qwen3-235B-A22B-Thinking-2507

Outputs Comparison

Key Takeaways

Llama 3.1 405B Instruct

Qwen3-235B-A22B-Thinking-2507

Detailed Comparison

FAQ

Which is better, Llama 3.1 405B Instruct or Qwen3-235B-A22B-Thinking-2507?

How does Llama 3.1 405B Instruct compare to Qwen3-235B-A22B-Thinking-2507 in benchmarks?

Is Llama 3.1 405B Instruct cheaper than Qwen3-235B-A22B-Thinking-2507?

What are the context window sizes for Llama 3.1 405B Instruct and Qwen3-235B-A22B-Thinking-2507?

What are the main differences between Llama 3.1 405B Instruct and Qwen3-235B-A22B-Thinking-2507?

Who makes Llama 3.1 405B Instruct and Qwen3-235B-A22B-Thinking-2507?