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Qwen3-Coder vs Qwen3.8-27B

Comparing Qwen3-Coder and Qwen3.8-27B across benchmarks, pricing, and capabilities.

Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3-Coder and Qwen3.8-27B trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

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

Choose Qwen3-Coder

  • you want predictable pricing at $0.18/M input and $0.18/M output

Choose Qwen3.8-27B

  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Benchmark wins
Input price
$0.18 / M
— / M
Output price
$0.18 / M
— / M
Context window
256,000
Released
Jan 2025
Aug 2026
License
Apache 2.0
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Qwen3-Coder and Qwen3.8-27Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

452.2B diff

Qwen3-Coder has 452.2B more parameters than Qwen3.8-27B, making it 1627.8% larger.

Alibaba Cloud / Qwen Team
Qwen3-Coder
480.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-27B
27.8Bparameters
480.0B
Qwen3-Coder
27.8B
Qwen3.8-27B

Context Window

Maximum input and output token capacity

Only Qwen3-Coder specifies input context (256,000 tokens). Only Qwen3-Coder specifies output context (256,000 tokens).

Alibaba Cloud / Qwen Team
Qwen3-Coder
Input256,000 tokens
Output256,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.8-27B
Input- tokens
Output- tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.8-27B supports multimodal inputs, whereas Qwen3-Coder does not.

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

Qwen3-Coder

Text
Images
Audio
Video

Qwen3.8-27B

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Qwen3-Coder

Apache 2.0

Open weights

Qwen3.8-27B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen3-Coder was released on 2025-01-01, while Qwen3.8-27B was released on 2026-08-14.

Qwen3.8-27B is 20 months newer than Qwen3-Coder.

Qwen3-Coder

Jan 1, 2025

1.6 years ago

Qwen3.8-27B

Aug 14, 2026

1 weeks ago

1.6yr 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 Qwen3-Coder and Qwen3.8-27B side-by-side, then vote on the output you prefer.

Qwen3-Coder
✓ Preferred
Qwen3.8-27B
Open in Playground

FAQ

Common questions about Qwen3-Coder vs Qwen3.8-27B.

Which is better, Qwen3-Coder or Qwen3.8-27B?

Qwen3-Coder (Alibaba Cloud / Qwen Team) and Qwen3.8-27B (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.

How does Qwen3-Coder compare to Qwen3.8-27B in benchmarks?

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 Qwen3-Coder and Qwen3.8-27B?

Qwen3-Coder supports 256K 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 Qwen3-Coder and Qwen3.8-27B?

Key differences include multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.