Model Comparison

GLM-5 vs GLM-4.5VWhich is better in 2026?

Comparing GLM-5 and GLM-4.5V across benchmarks, pricing, and capabilities.

Verdict: GLM-5 vs GLM-4.5V — which is better?

GLM-5 (by Zhipu AI) and GLM-4.5V (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, GLM-4.5V is roughly 1.6x 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 GLM-4.5V if…

  • cost matters — it's about 1.6x cheaper per token
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and GLM-4.5Vdon'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

GLM-4.5V costs less

For input processing, GLM-5 ($1.00/1M tokens) is 1.8x more expensive than GLM-4.5V ($0.55/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 1.5x more expensive than GLM-4.5V ($2.19/1M tokens).

In conclusion, GLM-5 is more expensive than GLM-4.5V.*

* 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
Zhipu AI
GLM-4.5V
Input tokens$0.55
Output tokens$2.19
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

636.0B diff

GLM-5 has 636.0B more parameters than GLM-4.5V, making it 588.9% larger.

Zhipu AI
GLM-5
744.0Bparameters
Zhipu AI
GLM-4.5V
108.0Bparameters
744.0B
GLM-5
108.0B
GLM-4.5V

Context Window

Maximum input and output token capacity

GLM-5 accepts 200,000 input tokens compared to GLM-4.5V's 131,072 tokens. GLM-4.5V can generate longer responses up to 131,072 tokens, while GLM-5 is limited to 128,000 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Zhipu AI
GLM-4.5V
Input131,072 tokens
Output131,072 tokens
Sat Jun 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GLM-4.5V supports multimodal inputs, whereas GLM-5 does not.

GLM-4.5V can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5

Text
Images
Audio
Video

GLM-4.5V

Text
Images
Audio
Video

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

GLM-4.5V

MIT

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while GLM-4.5V was released on 2025-08-11.

GLM-5 is 6 months newer than GLM-4.5V.

GLM-5

Feb 11, 2026

4 months ago

6mo newer
GLM-4.5V

Aug 11, 2025

10 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. GLM-4.5V is available from Fireworks, 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

GLM-4.5V

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

Zhipu AI
Larger context window (200,000 tokens)
Zhipu AI
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Zhipu AI
GLM-4.5V

FAQ

Common questions about GLM-5 vs GLM-4.5V.

Which is better, GLM-5 or GLM-4.5V?

GLM-5 (Zhipu AI) and GLM-4.5V (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 GLM-5 compare to GLM-4.5V 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%.

Is GLM-5 cheaper than GLM-4.5V?

GLM-4.5V is 1.8x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. GLM-4.5V costs $0.55/M input and $2.19/M output via fireworks.

What are the context window sizes for GLM-5 and GLM-4.5V?

GLM-5 supports 200K tokens and GLM-4.5V 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 GLM-4.5V?

Key differences include context window (200K vs 131K), input pricing ($1.00 vs $0.55/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Related comparisons