The AI arena is free today

Open Superagent

Llama 3.2 90B 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 3.2 90B 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 3.2 90B Instruct

  • you want predictable pricing at $0.35/M input and $0.40/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
$0.35 / M
— / M
Output price
$0.40 / M
— / M
Context window
128,000
Released
Sep 2024
Aug 2026
License
Llama 3.2
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Llama 3.2 90B Instruct outperforms in 0 benchmarks, while Qwen3.8-27B is better at 1 benchmark (GPQA).

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

Mon Aug 24 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

62.2B diff

Llama 3.2 90B Instruct has 62.2B more parameters than Qwen3.8-27B, making it 224.0% larger.

Meta
Llama 3.2 90B Instruct
90.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-27B
27.8Bparameters
90.0B
Llama 3.2 90B Instruct
27.8B
Qwen3.8-27B

Context Window

Maximum input and output token capacity

Only Llama 3.2 90B Instruct specifies input context (128,000 tokens). Only Llama 3.2 90B Instruct specifies output context (128,000 tokens).

Meta
Llama 3.2 90B Instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.8-27B
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Llama 3.2 90B Instruct and Qwen3.8-27B support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Llama 3.2 90B Instruct

Text
Images
Audio
Video

Qwen3.8-27B

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.2 90B Instruct is licensed under Llama 3.2, 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 3.2 90B Instruct

Llama 3.2

Open weights

Qwen3.8-27B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 3.2 90B Instruct was released on 2024-09-25, while Qwen3.8-27B was released on 2026-08-14.

Qwen3.8-27B is 23 months newer than Llama 3.2 90B Instruct.

Llama 3.2 90B Instruct

Sep 25, 2024

1.9 years ago

Qwen3.8-27B

Aug 14, 2026

1 weeks ago

1.9yr 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Llama 3.2 90B Instruct and Qwen3.8-27B side-by-side, then vote on the output you prefer.

Llama 3.2 90B Instruct
✓ Preferred
Qwen3.8-27B
Open in Playground

FAQ

Common questions about Llama 3.2 90B Instruct vs Qwen3.8-27B.

Which is better, Llama 3.2 90B Instruct or Qwen3.8-27B?

Qwen3.8-27B significantly outperforms across most benchmarks. Llama 3.2 90B 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 3.2 90B Instruct compare to Qwen3.8-27B in benchmarks?

Llama 3.2 90B Instruct scores AI2D: 92.3%, DocVQA: 90.1%, MGSM: 86.9%, MMLU: 86.0%, ChartQA: 85.5%. 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 3.2 90B Instruct and Qwen3.8-27B?

Llama 3.2 90B Instruct supports 128K 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 3.2 90B Instruct and Qwen3.8-27B?

Key differences include licensing (Llama 3.2 vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.2 90B Instruct and Qwen3.8-27B?

Llama 3.2 90B Instruct is developed by Meta and Qwen3.8-27B is developed by Alibaba Cloud / Qwen Team.