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DeepSeek R1 Distill Qwen 7B vs GLM-5.3

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

DeepSeek · Zhipu AI · Updated for 2026

Which is better?

DeepSeek R1 Distill Qwen 7B and GLM-5.3 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 need open weights you can self-host or fine-tune

Choose GLM-5.3

  • 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
Zhipu AI
Benchmark wins
—
—
Input price
— / M
$1.40 / M
Output price
— / M
$4.40 / M
Context window
—
1,000,000
Released
Jan 2025
Aug 2026
License
MIT
Unknown

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

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

745.4B diff

GLM-5.3 has 745.4B more parameters than DeepSeek R1 Distill Qwen 7B, making it 9781.9% larger.

DeepSeek
DeepSeek R1 Distill Qwen 7B
7.6Bparameters
Zhipu AI
GLM-5.3
753.0Bparameters
7.6B
DeepSeek R1 Distill Qwen 7B
753.0B
GLM-5.3

Context Window

Maximum input and output token capacity

Only GLM-5.3 specifies input context (1,000,000 tokens). Only GLM-5.3 specifies output context (128,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 7B
Input- tokens
Output- tokens
Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
Mon Aug 24 2026 • llm-stats.com

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 7B was released on 2025-01-20, while GLM-5.3 was released on 2026-08-14.

GLM-5.3 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

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

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

FAQ

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

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

DeepSeek R1 Distill Qwen 7B (DeepSeek) and GLM-5.3 (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 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 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%.

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

DeepSeek R1 Distill Qwen 7B supports an unknown number of tokens and GLM-5.3 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?

Key differences include licensing (MIT vs Unknown). See the full comparison above for benchmark-by-benchmark results.

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

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

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