Model Comparison

GLM-5 vs DeepSeek-V3.2-ExpWhich is better in 2026?

GLM-5 significantly outperforms across most benchmarks. DeepSeek-V3.2-Exp is 5.1x cheaper per token.

Verdict: GLM-5 vs DeepSeek-V3.2-Exp — which is better?

GLM-5 (by Zhipu AI) and DeepSeek-V3.2-Exp (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.

GLM-5 outperforms in 2 benchmarks (BrowseComp, SWE-Bench Verified), while DeepSeek-V3.2-Exp is better at 0 benchmarks. GLM-5 significantly outperforms across most benchmarks.

On price, DeepSeek-V3.2-Exp is roughly 5.1x 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 want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • 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-V3.2-Exp if…

  • cost matters — it's about 5.1x cheaper per token
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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GLM-5 outperforms in 2 benchmarks (BrowseComp, SWE-Bench Verified), while DeepSeek-V3.2-Exp is better at 0 benchmarks.

GLM-5 significantly outperforms across most benchmarks.

Sat Jun 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2-Exp costs less

For input processing, GLM-5 ($1.00/1M tokens) is 3.7x more expensive than DeepSeek-V3.2-Exp ($0.27/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 7.8x more expensive than DeepSeek-V3.2-Exp ($0.41/1M tokens).

In conclusion, GLM-5 is more expensive than DeepSeek-V3.2-Exp.*

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

Lowest available price from all providers
Sat Jun 13 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerFriendliAI
DeepSeek
DeepSeek-V3.2-Exp
Input tokens$0.27
Output tokens$0.41
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

59.0B diff

GLM-5 has 59.0B more parameters than DeepSeek-V3.2-Exp, making it 8.6% larger.

Zhipu AI
GLM-5
744.0Bparameters
DeepSeek
DeepSeek-V3.2-Exp
685.0Bparameters
744.0B
GLM-5
685.0B
DeepSeek-V3.2-Exp

Context Window

Maximum input and output token capacity

GLM-5 accepts 200,000 input tokens compared to DeepSeek-V3.2-Exp's 163,840 tokens. GLM-5 can generate longer responses up to 128,000 tokens, while DeepSeek-V3.2-Exp is limited to 65,536 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
DeepSeek
DeepSeek-V3.2-Exp
Input163,840 tokens
Output65,536 tokens
Sat Jun 13 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.

GLM-5

MIT

Open weights

DeepSeek-V3.2-Exp

MIT

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while DeepSeek-V3.2-Exp was released on 2025-09-29.

GLM-5 is 5 months newer than DeepSeek-V3.2-Exp.

GLM-5

Feb 11, 2026

4 months ago

4mo newer
DeepSeek-V3.2-Exp

Sep 29, 2025

8 months 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-V3.2-Exp 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-V3.2-Exp

novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $0.41/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Zhipu AI
Larger context window (200,000 tokens)
Higher BrowseComp score (75.9% vs 40.1%)
Higher SWE-Bench Verified score (77.8% vs 67.8%)
DeepSeek
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
DeepSeek
DeepSeek-V3.2-Exp

FAQ

Common questions about GLM-5 vs DeepSeek-V3.2-Exp.

Which is better, GLM-5 or DeepSeek-V3.2-Exp?

GLM-5 significantly outperforms across most benchmarks. GLM-5 is made by Zhipu AI and DeepSeek-V3.2-Exp is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GLM-5 compare to DeepSeek-V3.2-Exp 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-V3.2-Exp scores SimpleQA: 97.1%, AIME 2025: 89.3%, MMLU-Pro: 85.0%, HMMT 2025: 83.6%, GPQA: 79.9%.

Is GLM-5 cheaper than DeepSeek-V3.2-Exp?

DeepSeek-V3.2-Exp is 3.7x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. DeepSeek-V3.2-Exp costs $0.27/M input and $0.41/M output via novita.

What are the context window sizes for GLM-5 and DeepSeek-V3.2-Exp?

GLM-5 supports 200K tokens and DeepSeek-V3.2-Exp 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-V3.2-Exp?

Key differences include context window (200K vs 164K), input pricing ($1.00 vs $0.27/M). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and DeepSeek-V3.2-Exp?

GLM-5 is developed by Zhipu AI and DeepSeek-V3.2-Exp is developed by DeepSeek.

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