Model Comparison

GLM-5 vs GLM-5V-TurboWhich is better in 2026?

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

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

GLM-5 (by Zhipu AI) and GLM-5V-Turbo (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-5 is roughly 1.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Choose GLM-5 if…

  • cost matters — it's about 1.2x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose GLM-5V-Turbo if…

  • you want the most recent training data — it shipped Apr 2026

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and GLM-5V-Turbodon'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-5 costs less

For input processing, GLM-5 ($1.00/1M tokens) is 1.2x cheaper than GLM-5V-Turbo ($1.20/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 1.3x cheaper than GLM-5V-Turbo ($4.00/1M tokens).

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

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

Lowest available price from all providers
Sun Jul 05 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerFriendliAI
Zhipu AI
GLM-5V-Turbo
Input tokens$1.20
Output tokens$4.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Both models have the same input context window of 200,000 tokens. Both models can generate responses up to 128,000 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Zhipu AI
GLM-5V-Turbo
Input200,000 tokens
Output128,000 tokens
Sun Jul 05 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

GLM-5V-Turbo can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5

Text
Images
Audio
Video

GLM-5V-Turbo

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5 is licensed under MIT, while GLM-5V-Turbo uses a proprietary license.

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

GLM-5

MIT

Open weights

GLM-5V-Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while GLM-5V-Turbo was released on 2026-04-02.

GLM-5V-Turbo is 2 months newer than GLM-5.

GLM-5

Feb 11, 2026

4 months ago

GLM-5V-Turbo

Apr 2, 2026

3 months ago

1mo 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

GLM-5 is available from FriendliAI, ZAI. GLM-5V-Turbo is available from ZAI.

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-5V-Turbo

z logo
Unknown Organization
Input Price:Input: $1.20/1MOutput Price:Output: $4.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Zhipu AI
Less expensive input tokens
Less expensive output tokens
Has open weights
Zhipu AI
Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

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

GLM-5
✓ Preferred
GLM-5V-Turbo
Open in Playground
AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Zhipu AI
GLM-5V-Turbo

FAQ

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

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

GLM-5 (Zhipu AI) and GLM-5V-Turbo (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-5V-Turbo 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%. GLM-5V-Turbo scores Design2Code: 94.8%, Flame-VLM-Code: 93.8%, V*: 89.0%, WebVoyager: 88.5%, PinchBench: 80.7%.

Is GLM-5 cheaper than GLM-5V-Turbo?

GLM-5 is 1.2x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. GLM-5V-Turbo costs $1.20/M input and $4.00/M output via z.

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

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

Key differences include input pricing ($1.00 vs $1.20/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

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