Model Comparison

DeepSeek-V3.1 vs GLM-4.5Which is better in 2026?

GLM-4.5 shows notably better performance in the majority of benchmarks. DeepSeek-V3.1 is 1.5x cheaper per token.

Verdict: DeepSeek-V3.1 vs GLM-4.5 — which is better?

DeepSeek-V3.1 (by DeepSeek) and GLM-4.5 (by Zhipu AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

DeepSeek-V3.1 outperforms in 3 benchmarks (BrowseComp, Humanity's Last Exam, SWE-Bench Verified), while GLM-4.5 is better at 5 benchmarks (AIME 2024, GPQA, LiveCodeBench, MMLU-Pro, Terminal-Bench). GLM-4.5 shows notably better performance in the majority of benchmarks.

On price, DeepSeek-V3.1 is roughly 1.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V3.1 also accepts a larger context window (163,840 input tokens), making it the stronger choice for long documents and large codebases.

Choose DeepSeek-V3.1 if…

  • cost matters — it's about 1.5x cheaper per token
  • you process long inputs — it offers a 163,840 token context window

Choose GLM-4.5 if…

  • you want the strongest raw capability — it leads on 5 of 8 shared benchmarks
  • you want the most recent training data — it shipped Jul 2025
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Performance Benchmarks

Comparative analysis across standard metrics

8 benchmarks

DeepSeek-V3.1 outperforms in 3 benchmarks (BrowseComp, Humanity's Last Exam, SWE-Bench Verified), while GLM-4.5 is better at 5 benchmarks (AIME 2024, GPQA, LiveCodeBench, MMLU-Pro, Terminal-Bench).

GLM-4.5 shows notably better performance in the majority of benchmarks.

Mon Jun 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.1 costs less

For input processing, DeepSeek-V3.1 ($0.27/1M tokens) is 1.5x cheaper than GLM-4.5 ($0.40/1M tokens).

For output processing, DeepSeek-V3.1 ($1.00/1M tokens) is 1.6x cheaper than GLM-4.5 ($1.60/1M tokens).

In conclusion, GLM-4.5 is more expensive than DeepSeek-V3.1.*

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

Lowest available price from all providers
Mon Jun 15 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.1
Input tokens$0.27
Output tokens$1.00
Best providerDeepinfra
Zhipu AI
GLM-4.5
Input tokens$0.40
Output tokens$1.60
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

316.0B diff

DeepSeek-V3.1 has 316.0B more parameters than GLM-4.5, making it 89.0% larger.

DeepSeek
DeepSeek-V3.1
671.0Bparameters
Zhipu AI
GLM-4.5
355.0Bparameters
671.0B
DeepSeek-V3.1
355.0B
GLM-4.5

Context Window

Maximum input and output token capacity

DeepSeek-V3.1 accepts 163,840 input tokens compared to GLM-4.5's 131,072 tokens. DeepSeek-V3.1 can generate longer responses up to 163,840 tokens, while GLM-4.5 is limited to 131,072 tokens.

DeepSeek
DeepSeek-V3.1
Input163,840 tokens
Output163,840 tokens
Zhipu AI
GLM-4.5
Input131,072 tokens
Output131,072 tokens
Mon Jun 15 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

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

DeepSeek-V3.1

MIT

Open weights

GLM-4.5

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.1 was released on 2025-01-10, while GLM-4.5 was released on 2025-07-28.

GLM-4.5 is 7 months newer than DeepSeek-V3.1.

DeepSeek-V3.1

Jan 10, 2025

1.4 years ago

GLM-4.5

Jul 28, 2025

10 months ago

6mo 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-4.5 is available from DeepInfra, Fireworks, Novita.

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-4.5

deepinfra logo
Deepinfra
Input Price:Input: $0.40/1MOutput Price:Output: $1.60/1M
fireworks logo
Fireworks
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $2.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Larger context window (163,840 tokens)
Less expensive input tokens
Less expensive output tokens
Higher BrowseComp score (30.0% vs 26.4%)
Higher Humanity's Last Exam score (15.9% vs 14.4%)
Higher SWE-Bench Verified score (66.0% vs 64.2%)
Zhipu AI
Higher AIME 2024 score (91.0% vs 66.3%)
Higher GPQA score (79.1% vs 74.9%)
Higher LiveCodeBench score (72.9% vs 56.4%)
Higher MMLU-Pro score (84.6% vs 83.7%)
Higher Terminal-Bench score (37.5% vs 31.3%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.1
Zhipu AI
GLM-4.5

FAQ

Common questions about DeepSeek-V3.1 vs GLM-4.5.

Which is better, DeepSeek-V3.1 or GLM-4.5?

GLM-4.5 shows notably better performance in the majority of benchmarks. DeepSeek-V3.1 is made by DeepSeek and GLM-4.5 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-4.5 in benchmarks?

DeepSeek-V3.1 scores SimpleQA: 93.4%, MMLU-Redux: 91.8%, MMLU-Pro: 83.7%, GPQA: 74.9%, CodeForces: 69.7%. GLM-4.5 scores MATH-500: 98.2%, AIME 2024: 91.0%, MMLU-Pro: 84.6%, TAU-bench Retail: 79.7%, GPQA: 79.1%.

Is DeepSeek-V3.1 cheaper than GLM-4.5?

DeepSeek-V3.1 is 1.5x cheaper for input tokens. DeepSeek-V3.1 costs $0.27/M input and $1.00/M output via deepinfra. GLM-4.5 costs $0.40/M input and $1.60/M output via deepinfra.

What are the context window sizes for DeepSeek-V3.1 and GLM-4.5?

DeepSeek-V3.1 supports 164K tokens and GLM-4.5 supports 131K 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-4.5?

Key differences include context window (164K vs 131K), input pricing ($0.27 vs $0.40/M). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.1 and GLM-4.5?

DeepSeek-V3.1 is developed by DeepSeek and GLM-4.5 is developed by Zhipu AI.

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