Model Comparison

Llama 3.1 405B Instruct vs Qwen3-Coder

Comparing Llama 3.1 405B Instruct and Qwen3-Coder across benchmarks, pricing, and capabilities.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Llama 3.1 405B Instruct and Qwen3-Coder don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3-Coder costs less

For input processing, Llama 3.1 405B Instruct ($0.89/1M tokens) is 4.9x more expensive than Qwen3-Coder ($0.18/1M tokens).

For output processing, Llama 3.1 405B Instruct ($0.89/1M tokens) is 4.9x more expensive than Qwen3-Coder ($0.18/1M tokens).

In conclusion, Llama 3.1 405B Instruct is more expensive than Qwen3-Coder.*

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

Lowest available price from all providers

Sat Apr 18 2026 • llm-stats.com

Llama 3.1 405B Instruct

Input tokens$0.89

Output tokens$0.89

Best providerLambda

Qwen3-Coder

Input tokens$0.18

Output tokens$0.18

Best providerDeepinfra

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

75.0B diff

Qwen3-Coder has 75.0B more parameters than Llama 3.1 405B Instruct, making it 18.5% larger.

Llama 3.1 405B Instruct

405.0Bparameters

Qwen3-Coder

480.0Bparameters

405.0B

Llama 3.1 405B Instruct

480.0B

Qwen3-Coder

Context Window

Maximum input and output token capacity

Qwen3-Coder accepts 256,000 input tokens compared to Llama 3.1 405B Instruct's 128,000 tokens. Qwen3-Coder can generate longer responses up to 256,000 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-Coder

Input256,000 tokens

Output256,000 tokens

Sat Apr 18 2026 • llm-stats.com

License

Usage and distribution terms

Llama 3.1 405B Instruct is licensed under Llama 3.1 Community License, while Qwen3-Coder 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-Coder

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-Coder was released on 2025-01-01.

Qwen3-Coder is 5 months newer than Llama 3.1 405B Instruct.

Llama 3.1 405B Instruct

Jul 23, 2024

1.7 years ago

Qwen3-Coder

Jan 1, 2025

1.3 years ago

5mo 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-Coder is available from DeepInfra, Fireworks.

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-Coder

Deepinfra

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

Fireworks

Input Price:Input: $0.25/1MOutput Price:Output: $0.25/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Llama 3.1 405B Instruct

View details

Qwen3-Coder

View details

Alibaba Cloud / Qwen Team

Larger context window (256,000 tokens)

Less expensive input tokens

Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature	Llama 3.1 405B Instruct	Qwen3-Coder

FAQ

Common questions about Llama 3.1 405B Instruct vs Qwen3-Coder

Llama 3.1 405B Instruct (Meta) and Qwen3-Coder (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

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-Coder is 4.9x cheaper for input tokens. Llama 3.1 405B Instruct costs $0.89/M input and $0.89/M output via lambda. Qwen3-Coder costs $0.18/M input and $0.18/M output via deepinfra.

Llama 3.1 405B Instruct supports 128K tokens and Qwen3-Coder supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Key differences include context window (128K vs 256K), input pricing ($0.89 vs $0.18/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-Coder is developed by Alibaba Cloud / Qwen Team.

Llama 3.1 405B Instruct vs Qwen3-Coder

Performance Benchmarks

Arena Performance

Pricing Analysis

Model Size

Context Window

License

Release Timeline

Knowledge Cutoff

Provider Availability

Llama 3.1 405B Instruct

Qwen3-Coder

Outputs Comparison

Key Takeaways

Llama 3.1 405B Instruct

Qwen3-Coder

Detailed Comparison

FAQ

Which is better, Llama 3.1 405B Instruct or Qwen3-Coder?

How does Llama 3.1 405B Instruct compare to Qwen3-Coder in benchmarks?

Is Llama 3.1 405B Instruct cheaper than Qwen3-Coder?

What are the context window sizes for Llama 3.1 405B Instruct and Qwen3-Coder?

What are the main differences between Llama 3.1 405B Instruct and Qwen3-Coder?

Who makes Llama 3.1 405B Instruct and Qwen3-Coder?