Model Comparison

GLM-5 vs DeepSeek-V3 0324Which is better in 2026?

Comparing GLM-5 and DeepSeek-V3 0324 across benchmarks, pricing, and capabilities.

Verdict: GLM-5 vs DeepSeek-V3 0324 — which is better?

GLM-5 (by Zhipu AI) and DeepSeek-V3 0324 (by DeepSeek) 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.

On price, DeepSeek-V3 0324 is roughly 3.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-5 also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose GLM-5 if…

  • you process long inputs — it offers a 200,000 token context window
  • you want the most recent training data — it shipped Feb 2026

Choose DeepSeek-V3 0324 if…

  • cost matters — it's about 3.1x cheaper per token

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and DeepSeek-V3 0324 don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3 0324 costs less

For input processing, GLM-5 ($1.00/1M tokens) is 3.6x more expensive than DeepSeek-V3 0324 ($0.28/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 2.8x more expensive than DeepSeek-V3 0324 ($1.14/1M tokens).

In conclusion, GLM-5 is more expensive than DeepSeek-V3 0324.*

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

Lowest available price from all providers
Sat Jun 06 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerFriendliAI
DeepSeek
DeepSeek-V3 0324
Input tokens$0.28
Output tokens$1.14
Best providerNovita
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

73.0B diff

GLM-5 has 73.0B more parameters than DeepSeek-V3 0324, making it 10.9% larger.

Zhipu AI
GLM-5
744.0Bparameters
DeepSeek
DeepSeek-V3 0324
671.0Bparameters
744.0B
GLM-5
671.0B
DeepSeek-V3 0324

Context Window

Maximum input and output token capacity

GLM-5 accepts 200,000 input tokens compared to DeepSeek-V3 0324's 163,840 tokens. DeepSeek-V3 0324 can generate longer responses up to 163,840 tokens, while GLM-5 is limited to 128,000 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 tokens
Sat Jun 06 2026 • llm-stats.com

License

Usage and distribution terms

GLM-5 is licensed under MIT, while DeepSeek-V3 0324 uses MIT + Model License (Commercial use allowed).

License differences may affect how you can use these models in commercial or open-source projects.

GLM-5

MIT

Open weights

DeepSeek-V3 0324

MIT + Model License (Commercial use allowed)

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while DeepSeek-V3 0324 was released on 2025-03-25.

GLM-5 is 11 months newer than DeepSeek-V3 0324.

GLM-5

Feb 11, 2026

3 months ago

10mo newer
DeepSeek-V3 0324

Mar 25, 2025

1.2 years ago

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

GLM-5 is available from FriendliAI, ZAI. DeepSeek-V3 0324 is available from Novita.

GLM-5

friendli logo
FriendliAI
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M
z logo
Unknown Organization
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M

DeepSeek-V3 0324

novita logo
Novita
Input Price:Input: $0.28/1MOutput Price:Output: $1.14/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (200,000 tokens)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
DeepSeek
DeepSeek-V3 0324

FAQ

Common questions about GLM-5 vs DeepSeek-V3 0324.

Which is better, GLM-5 or DeepSeek-V3 0324?

GLM-5 (Zhipu AI) and DeepSeek-V3 0324 (DeepSeek) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GLM-5 compare to DeepSeek-V3 0324 in benchmarks?

GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. DeepSeek-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%.

Is GLM-5 cheaper than DeepSeek-V3 0324?

DeepSeek-V3 0324 is 3.6x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. DeepSeek-V3 0324 costs $0.28/M input and $1.14/M output via novita.

What are the context window sizes for GLM-5 and DeepSeek-V3 0324?

GLM-5 supports 200K tokens and DeepSeek-V3 0324 supports 164K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-5 and DeepSeek-V3 0324?

Key differences include context window (200K vs 164K), input pricing ($1.00 vs $0.28/M), licensing (MIT vs MIT + Model License (Commercial use allowed)). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and DeepSeek-V3 0324?

GLM-5 is developed by Zhipu AI and DeepSeek-V3 0324 is developed by DeepSeek.