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DeepSeek-V3.1 vs GLM-5.3

GLM-5.3 significantly outperforms across most benchmarks. DeepSeek-V3.1 is 4.8x cheaper per token.

DeepSeek · Zhipu AI · Updated for 2026

Which is better?

DeepSeek-V3.1 outperforms in 0 benchmarks, while GLM-5.3 is better at 1 benchmark (Humanity's Last Exam). GLM-5.3 significantly outperforms across most benchmarks.

On price, DeepSeek-V3.1 is roughly 4.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-5.3 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose DeepSeek-V3.1

  • cost matters — it's about 4.8x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose GLM-5.3

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

DeepSeek-V3.1
DeepSeek
GLM-5.3
Zhipu AI
Benchmark wins
0 of 1
1 of 1
Input price
$0.27 / M
$1.40 / M
Output price
$1.00 / M
$4.40 / M
Context window
163,840
1,000,000
Released
Jan 2025
Aug 2026
License
MIT
Unknown

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek-V3.1 outperforms in 0 benchmarks, while GLM-5.3 is better at 1 benchmark (Humanity's Last Exam).

GLM-5.3 significantly outperforms across most benchmarks.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.1 costs less

For input processing, DeepSeek-V3.1 ($0.27/1M tokens) is 5.2x cheaper than GLM-5.3 ($1.40/1M tokens).

For output processing, DeepSeek-V3.1 ($1.00/1M tokens) is 4.4x cheaper than GLM-5.3 ($4.40/1M tokens).

In conclusion, GLM-5.3 is more expensive than DeepSeek-V3.1.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Aug 25 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.1
Input tokens$0.27
Output tokens$1.00
Best providerDeepinfra
Zhipu AI
GLM-5.3
Input tokens$1.40
Output tokens$4.40
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

82.0B diff

GLM-5.3 has 82.0B more parameters than DeepSeek-V3.1, making it 12.2% larger.

DeepSeek
DeepSeek-V3.1
671.0Bparameters
Zhipu AI
GLM-5.3
753.0Bparameters
671.0B
DeepSeek-V3.1
753.0B
GLM-5.3

Context Window

Maximum input and output token capacity

GLM-5.3 accepts 1,000,000 input tokens compared to DeepSeek-V3.1's 163,840 tokens. DeepSeek-V3.1 can generate longer responses up to 163,840 tokens, while GLM-5.3 is limited to 128,000 tokens.

DeepSeek
DeepSeek-V3.1
Input163,840 tokens
Output163,840 tokens
Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
Tue Aug 25 2026 • llm-stats.com

Release Timeline

When each model was launched

DeepSeek-V3.1 was released on 2025-01-10, while GLM-5.3 was released on 2026-08-14.

GLM-5.3 is 19 months newer than DeepSeek-V3.1.

DeepSeek-V3.1

Jan 10, 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

Provider Availability

DeepSeek-V3.1 is available from DeepInfra, Novita. GLM-5.3 is available from ZAI.

DeepSeek-V3.1

deepinfra logo
Deepinfra
Input Price:Input: $0.27/1MOutput Price:Output: $1.00/1M
novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $1.00/1M

GLM-5.3

z logo
Unknown Organization
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V3.1 and GLM-5.3 side-by-side, then vote on the output you prefer.

DeepSeek-V3.1
✓ Preferred
GLM-5.3
Open in Playground

FAQ

Common questions about DeepSeek-V3.1 vs GLM-5.3.

Which is better, DeepSeek-V3.1 or GLM-5.3?

GLM-5.3 significantly outperforms across most benchmarks. DeepSeek-V3.1 is made by DeepSeek and GLM-5.3 is made by Zhipu AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V3.1 compare to GLM-5.3 in benchmarks?

DeepSeek-V3.1 scores SimpleQA: 93.4%, MMLU-Redux: 91.8%, MMLU-Pro: 83.7%, GPQA: 74.9%, CodeForces: 69.7%. GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%.

Is DeepSeek-V3.1 cheaper than GLM-5.3?

DeepSeek-V3.1 is 5.2x cheaper for input tokens. DeepSeek-V3.1 costs $0.27/M input and $1.00/M output via deepinfra. GLM-5.3 costs $1.40/M input and $4.40/M output via z.

What are the context window sizes for DeepSeek-V3.1 and GLM-5.3?

DeepSeek-V3.1 supports 164K 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-V3.1 and GLM-5.3?

Key differences include context window (164K vs 1.0M), input pricing ($0.27 vs $1.40/M), licensing (MIT vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.1 and GLM-5.3?

DeepSeek-V3.1 is developed by DeepSeek and GLM-5.3 is developed by Zhipu AI.

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