Model Comparison

GLM-5 vs DeepSeek-V3.2 (Thinking)Which is better in 2026?

GLM-5 significantly outperforms across most benchmarks. DeepSeek-V3.2 (Thinking) is 4.9x cheaper per token.

Verdict: GLM-5 vs DeepSeek-V3.2 (Thinking) — which is better?

GLM-5 (by Zhipu AI) and DeepSeek-V3.2 (Thinking) (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 4 benchmarks (BrowseComp, SWE-Bench Verified, t2-bench, Terminal-Bench 2.0), while DeepSeek-V3.2 (Thinking) is better at 0 benchmarks. GLM-5 significantly outperforms across most benchmarks.

On price, DeepSeek-V3.2 (Thinking) is roughly 4.9x 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 4 of 4 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 (Thinking) if…

  • cost matters — it's about 4.9x cheaper per token

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

GLM-5 outperforms in 4 benchmarks (BrowseComp, SWE-Bench Verified, t2-bench, Terminal-Bench 2.0), while DeepSeek-V3.2 (Thinking) is better at 0 benchmarks.

GLM-5 significantly outperforms across most benchmarks.

Sat Jun 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2 (Thinking) costs less

For input processing, GLM-5 ($1.00/1M tokens) is 3.6x more expensive than DeepSeek-V3.2 (Thinking) ($0.28/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 7.6x more expensive than DeepSeek-V3.2 (Thinking) ($0.42/1M tokens).

In conclusion, GLM-5 is more expensive than DeepSeek-V3.2 (Thinking).*

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

Lowest available price from all providers
Sat Jun 27 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerFriendliAI
DeepSeek
DeepSeek-V3.2 (Thinking)
Input tokens$0.28
Output tokens$0.42
Best providerDeepSeek
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 (Thinking), making it 8.6% larger.

Zhipu AI
GLM-5
744.0Bparameters
DeepSeek
DeepSeek-V3.2 (Thinking)
685.0Bparameters
744.0B
GLM-5
685.0B
DeepSeek-V3.2 (Thinking)

Context Window

Maximum input and output token capacity

GLM-5 accepts 200,000 input tokens compared to DeepSeek-V3.2 (Thinking)'s 131,072 tokens. GLM-5 can generate longer responses up to 128,000 tokens, while DeepSeek-V3.2 (Thinking) is limited to 65,536 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
DeepSeek
DeepSeek-V3.2 (Thinking)
Input131,072 tokens
Output65,536 tokens
Sat Jun 27 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 (Thinking)

MIT

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while DeepSeek-V3.2 (Thinking) was released on 2025-12-01.

GLM-5 is 2 months newer than DeepSeek-V3.2 (Thinking).

GLM-5

Feb 11, 2026

4 months ago

2mo newer
DeepSeek-V3.2 (Thinking)

Dec 1, 2025

6 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 (Thinking) is available from DeepSeek.

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 (Thinking)

deepseek logo
DeepSeek
Input Price:Input: $0.28/1MOutput Price:Output: $0.42/1M
* 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 51.4%)
Higher SWE-Bench Verified score (77.8% vs 73.1%)
Higher t2-bench score (89.7% vs 80.2%)
Higher Terminal-Bench 2.0 score (56.2% vs 46.4%)
DeepSeek
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GLM-5 and DeepSeek-V3.2 (Thinking) side-by-side, then vote on the output you prefer.

GLM-5
✓ Preferred
DeepSeek-V3.2 (Thinking)
Open in Playground
AI Model Comparison Table
Feature
Zhipu AI
GLM-5
DeepSeek
DeepSeek-V3.2 (Thinking)

FAQ

Common questions about GLM-5 vs DeepSeek-V3.2 (Thinking).

Which is better, GLM-5 or DeepSeek-V3.2 (Thinking)?

GLM-5 significantly outperforms across most benchmarks. GLM-5 is made by Zhipu AI and DeepSeek-V3.2 (Thinking) 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 (Thinking) 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 (Thinking) scores AIME 2025: 93.1%, HMMT 2025: 90.2%, MMLU-Pro: 85.0%, LiveCodeBench: 83.3%, GPQA: 82.4%.

Is GLM-5 cheaper than DeepSeek-V3.2 (Thinking)?

DeepSeek-V3.2 (Thinking) is 3.6x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. DeepSeek-V3.2 (Thinking) costs $0.28/M input and $0.42/M output via deepseek.

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

GLM-5 supports 200K tokens and DeepSeek-V3.2 (Thinking) 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 GLM-5 and DeepSeek-V3.2 (Thinking)?

Key differences include context window (200K vs 131K), input pricing ($1.00 vs $0.28/M). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and DeepSeek-V3.2 (Thinking)?

GLM-5 is developed by Zhipu AI and DeepSeek-V3.2 (Thinking) is developed by DeepSeek.

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