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DeepSeek R1 Distill Qwen 7B vs GLM-5.3-Flash

Comparing DeepSeek R1 Distill Qwen 7B and GLM-5.3-Flash across benchmarks, pricing, and capabilities.

DeepSeek · Zhipu AI · Updated for 2026

Which is better?

DeepSeek R1 Distill Qwen 7B and GLM-5.3-Flash 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 DeepSeek R1 Distill Qwen 7B

  • you are already invested in the DeepSeek ecosystem

Choose GLM-5.3-Flash

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

At a glance

The differences that matter most.

DeepSeek R1 Distill Qwen 7B
DeepSeek
GLM-5.3-Flash
Zhipu AI
Benchmark wins
—
—
Input price
— / M
$0.15 / M
Output price
— / M
$0.50 / M
Context window
—
1,000,000
Released
Jan 2025
Aug 2026
License
MIT
MIT

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek R1 Distill Qwen 7B and GLM-5.3-Flashdon'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

312.4B diff

GLM-5.3-Flash has 312.4B more parameters than DeepSeek R1 Distill Qwen 7B, making it 4099.5% larger.

DeepSeek
DeepSeek R1 Distill Qwen 7B
7.6Bparameters
Zhipu AI
GLM-5.3-Flash
320.0Bparameters
7.6B
DeepSeek R1 Distill Qwen 7B
320.0B
GLM-5.3-Flash

Context Window

Maximum input and output token capacity

Only GLM-5.3-Flash specifies input context (1,000,000 tokens). Only GLM-5.3-Flash specifies output context (131,072 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 7B
Input- tokens
Output- tokens
Zhipu AI
GLM-5.3-Flash
Input1,000,000 tokens
Output131,072 tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GLM-5.3-Flash supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 7B does not.

GLM-5.3-Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Distill Qwen 7B

Text
Images
Audio
Video

GLM-5.3-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under MIT.

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

DeepSeek R1 Distill Qwen 7B

MIT

Open weights

GLM-5.3-Flash

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 7B was released on 2025-01-20, while GLM-5.3-Flash was released on 2026-08-26.

GLM-5.3-Flash is 19 months newer than DeepSeek R1 Distill Qwen 7B.

DeepSeek R1 Distill Qwen 7B

Jan 20, 2025

1.6 years ago

GLM-5.3-Flash

Aug 26, 2026

0 days 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 DeepSeek R1 Distill Qwen 7B and GLM-5.3-Flash side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 7B
✓ Preferred
GLM-5.3-Flash
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 7B vs GLM-5.3-Flash.

Which is better, DeepSeek R1 Distill Qwen 7B or GLM-5.3-Flash?

DeepSeek R1 Distill Qwen 7B (DeepSeek) and GLM-5.3-Flash (Zhipu AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek R1 Distill Qwen 7B compare to GLM-5.3-Flash in benchmarks?

DeepSeek R1 Distill Qwen 7B scores MATH-500: 92.8%, AIME 2024: 83.3%, GPQA: 49.1%, LiveCodeBench: 37.6%. GLM-5.3-Flash scores CharXiv-R: 89.4%, Terminal-Bench 2.1: 84.3%, MMVU: 80.5%, Toolathlon: 78.4%, MVBench: 77.8%.

What are the context window sizes for DeepSeek R1 Distill Qwen 7B and GLM-5.3-Flash?

DeepSeek R1 Distill Qwen 7B supports an unknown number of tokens and GLM-5.3-Flash supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek R1 Distill Qwen 7B and GLM-5.3-Flash?

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

Who makes DeepSeek R1 Distill Qwen 7B and GLM-5.3-Flash?

DeepSeek R1 Distill Qwen 7B is developed by DeepSeek and GLM-5.3-Flash is developed by Zhipu AI.

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