Model Comparison

GLM-5 vs Nova ProWhich is better in 2026?

Comparing GLM-5 and Nova Pro across benchmarks, pricing, and capabilities.

Verdict: GLM-5 vs Nova Pro — which is better?

GLM-5 (by Zhipu AI) and Nova Pro (by Amazon) 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, Nova Pro is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Nova Pro also accepts a larger context window (300,000 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 Nova Pro if…

  • cost matters — it's about 1.1x cheaper per token
  • you process long inputs — it offers a 300,000 token context window
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and Nova Pro 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

Nova Pro costs less

For input processing, GLM-5 ($1.00/1M tokens) is 1.3x more expensive than Nova Pro ($0.80/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) costs the same as Nova Pro ($3.20/1M tokens).

In conclusion, GLM-5 is more expensive than Nova Pro.*

* 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
Amazon
Nova Pro
Input tokens$0.80
Output tokens$3.20
Best providerAWS Bedrock
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Nova Pro accepts 300,000 input tokens compared to GLM-5's 200,000 tokens. Nova Pro can generate longer responses up to 300,000 tokens, while GLM-5 is limited to 128,000 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Amazon
Nova Pro
Input300,000 tokens
Output300,000 tokens
Sun Jun 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Nova Pro supports multimodal inputs, whereas GLM-5 does not.

Nova Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5

Text
Images
Audio
Video

Nova Pro

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Nova Pro 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

Nova Pro

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Nova Pro was released on 2024-11-20.

GLM-5 is 15 months newer than Nova Pro.

GLM-5

Feb 11, 2026

3 months ago

1.2yr newer
Nova Pro

Nov 20, 2024

1.5 years 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. Nova Pro is available from Bedrock.

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

Nova Pro

bedrock logo
AWS Bedrock
Input Price:Input: $0.80/1MOutput Price:Output: $3.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Zhipu AI
Has open weights
Amazon
Larger context window (300,000 tokens)
Supports multimodal inputs
Less expensive input tokens

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Amazon
Nova Pro

FAQ

Common questions about GLM-5 vs Nova Pro.

Which is better, GLM-5 or Nova Pro?

GLM-5 (Zhipu AI) and Nova Pro (Amazon) 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 Nova Pro 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%. Nova Pro scores ARC-C: 94.8%, GSM8k: 94.8%, DocVQA: 93.5%, IFEval: 92.1%, ChartQA: 89.2%.

Is GLM-5 cheaper than Nova Pro?

Nova Pro is 1.3x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. Nova Pro costs $0.80/M input and $3.20/M output via bedrock.

What are the context window sizes for GLM-5 and Nova Pro?

GLM-5 supports 200K tokens and Nova Pro supports 300K 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 Nova Pro?

Key differences include context window (200K vs 300K), input pricing ($1.00 vs $0.80/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 Nova Pro?

GLM-5 is developed by Zhipu AI and Nova Pro is developed by Amazon.

Related comparisons