Model Comparison

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

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

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

DeepSeek-V3 0324 (by DeepSeek) and GLM-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.

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 DeepSeek-V3 0324 if…

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

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

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V3 0324 and GLM-5don'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, DeepSeek-V3 0324 ($0.28/1M tokens) is 3.6x cheaper than GLM-5 ($1.00/1M tokens).

For output processing, DeepSeek-V3 0324 ($1.14/1M tokens) is 2.8x cheaper than GLM-5 ($3.20/1M 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 Jul 18 2026 • llm-stats.com
DeepSeek
DeepSeek-V3 0324
Input tokens$0.28
Output tokens$1.14
Best providerNovita
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerFriendliAI
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.

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

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.

DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 tokens
Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Sat Jul 18 2026 • llm-stats.com

License

Usage and distribution terms

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

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

DeepSeek-V3 0324

MIT + Model License (Commercial use allowed)

Open weights

GLM-5

MIT

Open weights

Release Timeline

When each model was launched

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

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

DeepSeek-V3 0324

Mar 25, 2025

1.3 years ago

GLM-5

Feb 11, 2026

5 months ago

10mo 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 0324 is available from Novita. GLM-5 is available from FriendliAI, ZAI.

DeepSeek-V3 0324

novita logo
Novita
Input Price:Input: $0.28/1MOutput Price:Output: $1.14/1M

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
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

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

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-V3 0324 and GLM-5 side-by-side, then vote on the output you prefer.

DeepSeek-V3 0324
✓ Preferred
GLM-5
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3 0324
Zhipu AI
GLM-5

FAQ

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

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

DeepSeek-V3 0324 (DeepSeek) and GLM-5 (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-V3 0324 compare to GLM-5 in benchmarks?

DeepSeek-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%. 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%.

Is DeepSeek-V3 0324 cheaper than GLM-5?

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

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

DeepSeek-V3 0324 supports 164K tokens and GLM-5 supports 200K 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 0324 and GLM-5?

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

Who makes DeepSeek-V3 0324 and GLM-5?

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

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