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Llama 3.1 8B Instruct vs Qwen3.8-27B

Qwen3.8-27B significantly outperforms across most benchmarks.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Llama 3.1 8B Instruct outperforms in 0 benchmarks, while Qwen3.8-27B is better at 1 benchmark (GPQA). Qwen3.8-27B significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Llama 3.1 8B Instruct

  • you want predictable pricing at $0.03/M input and $0.03/M output

Choose Qwen3.8-27B

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Benchmark wins
0 of 1
1 of 1
Input price
$0.03 / M
— / M
Output price
$0.03 / M
— / M
Context window
131,072
Released
Jul 2024
Aug 2026
License
Llama 3.1 Community License
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Llama 3.1 8B Instruct outperforms in 0 benchmarks, while Qwen3.8-27B is better at 1 benchmark (GPQA).

Qwen3.8-27B significantly outperforms across most benchmarks.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

19.8B diff

Qwen3.8-27B has 19.8B more parameters than Llama 3.1 8B Instruct, making it 247.3% larger.

Meta
Llama 3.1 8B Instruct
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-27B
27.8Bparameters
8.0B
Llama 3.1 8B Instruct
27.8B
Qwen3.8-27B

Context Window

Maximum input and output token capacity

Only Llama 3.1 8B Instruct specifies input context (131,072 tokens). Only Llama 3.1 8B Instruct specifies output context (131,072 tokens).

Meta
Llama 3.1 8B Instruct
Input131,072 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen3.8-27B
Input- tokens
Output- tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.8-27B supports multimodal inputs, whereas Llama 3.1 8B Instruct does not.

Qwen3.8-27B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Llama 3.1 8B Instruct

Text
Images
Audio
Video

Qwen3.8-27B

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.1 8B Instruct is licensed under Llama 3.1 Community License, while Qwen3.8-27B uses Apache 2.0.

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

Llama 3.1 8B Instruct

Llama 3.1 Community License

Open weights

Qwen3.8-27B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 3.1 8B Instruct was released on 2024-07-23, while Qwen3.8-27B was released on 2026-08-14.

Qwen3.8-27B is 25 months newer than Llama 3.1 8B Instruct.

Llama 3.1 8B Instruct

Jul 23, 2024

2.1 years ago

Qwen3.8-27B

Aug 14, 2026

1 weeks ago

2.1yr newer

Knowledge Cutoff

When training data ends

Llama 3.1 8B Instruct has a documented knowledge cutoff of 2023-12-31, while Qwen3.8-27B's cutoff date is not specified.

We can confirm Llama 3.1 8B Instruct's training data extends to 2023-12-31, but cannot make a direct comparison without Qwen3.8-27B's cutoff date.

Llama 3.1 8B Instruct

Dec 2023

Qwen3.8-27B

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Llama 3.1 8B Instruct and Qwen3.8-27B side-by-side, then vote on the output you prefer.

Llama 3.1 8B Instruct
✓ Preferred
Qwen3.8-27B
Open in Playground

FAQ

Common questions about Llama 3.1 8B Instruct vs Qwen3.8-27B.

Which is better, Llama 3.1 8B Instruct or Qwen3.8-27B?

Qwen3.8-27B significantly outperforms across most benchmarks. Llama 3.1 8B Instruct is made by Meta and Qwen3.8-27B 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 3.1 8B Instruct compare to Qwen3.8-27B in benchmarks?

Llama 3.1 8B Instruct scores GSM-8K (CoT): 84.5%, ARC-C: 83.4%, API-Bank: 82.6%, IFEval: 80.4%, BFCL: 76.1%. Qwen3.8-27B scores MathVision: 94.6%, OmniDocBench 1.5: 91.1%, LiveCodeBench v6: 90.3%, CharXiv-R: 90.2%, GPQA: 89.2%.

What are the context window sizes for Llama 3.1 8B Instruct and Qwen3.8-27B?

Llama 3.1 8B Instruct supports 131K tokens and Qwen3.8-27B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Llama 3.1 8B Instruct and Qwen3.8-27B?

Key differences include multimodal support (no vs yes), licensing (Llama 3.1 Community License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.1 8B Instruct and Qwen3.8-27B?

Llama 3.1 8B Instruct is developed by Meta and Qwen3.8-27B is developed by Alibaba Cloud / Qwen Team.