Model Comparison

GLM-5 vs Gemini 1.5 Flash 8BWhich is better in 2026?

Comparing GLM-5 and Gemini 1.5 Flash 8B across benchmarks, pricing, and capabilities.

Verdict: GLM-5 vs Gemini 1.5 Flash 8B — which is better?

GLM-5 (by Zhipu AI) and Gemini 1.5 Flash 8B (by Google) 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, Gemini 1.5 Flash 8B is roughly 12.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 1.5 Flash 8B also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose GLM-5 if…

  • you want the most recent training data — it shipped Feb 2026
  • you need open weights you can self-host or fine-tune

Choose Gemini 1.5 Flash 8B if…

  • cost matters — it's about 12.2x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and Gemini 1.5 Flash 8B don'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

Gemini 1.5 Flash 8B costs less

For input processing, GLM-5 ($1.00/1M tokens) is 14.3x more expensive than Gemini 1.5 Flash 8B ($0.07/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 10.7x more expensive than Gemini 1.5 Flash 8B ($0.30/1M tokens).

In conclusion, GLM-5 is more expensive than Gemini 1.5 Flash 8B.*

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

Lowest available price from all providers
Sun Jun 07 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerFriendliAI
Google
Gemini 1.5 Flash 8B
Input tokens$0.07
Output tokens$0.30
Best providerGoogle
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

736.0B diff

GLM-5 has 736.0B more parameters than Gemini 1.5 Flash 8B, making it 9200.0% larger.

Zhipu AI
GLM-5
744.0Bparameters
Google
Gemini 1.5 Flash 8B
8.0Bparameters
744.0B
GLM-5
8.0B
Gemini 1.5 Flash 8B

Context Window

Maximum input and output token capacity

Gemini 1.5 Flash 8B accepts 1,048,576 input tokens compared to GLM-5's 200,000 tokens. GLM-5 can generate longer responses up to 128,000 tokens, while Gemini 1.5 Flash 8B is limited to 8,192 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Google
Gemini 1.5 Flash 8B
Input1,048,576 tokens
Output8,192 tokens
Sun Jun 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 1.5 Flash 8B supports multimodal inputs, whereas GLM-5 does not.

Gemini 1.5 Flash 8B can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5

Text
Images
Audio
Video

Gemini 1.5 Flash 8B

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Gemini 1.5 Flash 8B 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

Gemini 1.5 Flash 8B

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Gemini 1.5 Flash 8B was released on 2024-03-15.

GLM-5 is 23 months newer than Gemini 1.5 Flash 8B.

GLM-5

Feb 11, 2026

3 months ago

1.9yr newer
Gemini 1.5 Flash 8B

Mar 15, 2024

2.2 years ago

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash 8B has a documented knowledge cutoff of 2024-10-01, while GLM-5's cutoff date is not specified.

We can confirm Gemini 1.5 Flash 8B's training data extends to 2024-10-01, but cannot make a direct comparison without GLM-5's cutoff date.

GLM-5

Gemini 1.5 Flash 8B

Oct 2024

Provider Availability

GLM-5 is available from FriendliAI, ZAI. Gemini 1.5 Flash 8B is available from Google.

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

Gemini 1.5 Flash 8B

google logo
Google
Input Price:Input: $0.07/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Has open weights
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Zhipu AIGLM-5
GoogleGemini 1.5 Flash 8B

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Google
Gemini 1.5 Flash 8B

FAQ

Common questions about GLM-5 vs Gemini 1.5 Flash 8B.

Which is better, GLM-5 or Gemini 1.5 Flash 8B?

GLM-5 (Zhipu AI) and Gemini 1.5 Flash 8B (Google) 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 Gemini 1.5 Flash 8B 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%. Gemini 1.5 Flash 8B scores XSTest: 92.6%, FLEURS: 86.4%, Natural2Code: 75.5%, WMT23: 72.6%, Video-MME: 66.2%.

Is GLM-5 cheaper than Gemini 1.5 Flash 8B?

Gemini 1.5 Flash 8B is 14.3x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. Gemini 1.5 Flash 8B costs $0.07/M input and $0.30/M output via google.

What are the context window sizes for GLM-5 and Gemini 1.5 Flash 8B?

GLM-5 supports 200K tokens and Gemini 1.5 Flash 8B supports 1.0M 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 Gemini 1.5 Flash 8B?

Key differences include context window (200K vs 1.0M), input pricing ($1.00 vs $0.07/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and Gemini 1.5 Flash 8B?

GLM-5 is developed by Zhipu AI and Gemini 1.5 Flash 8B is developed by Google.