Model Comparison

GLM-5 vs Nova MicroWhich is better in 2026?

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

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

GLM-5 (by Zhipu AI) and Nova Micro (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 Micro is roughly 27.0x 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
  • you need open weights you can self-host or fine-tune

Choose Nova Micro if…

  • cost matters — it's about 27.0x cheaper per token
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and Nova Micro 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 Micro costs less

For input processing, GLM-5 ($1.00/1M tokens) is 33.3x more expensive than Nova Micro ($0.03/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 22.9x more expensive than Nova Micro ($0.14/1M tokens).

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

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

Lowest available price from all providers
Sat Jun 06 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerFriendliAI
Amazon
Nova Micro
Input tokens$0.03
Output tokens$0.14
Best providerAWS Bedrock
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GLM-5 accepts 200,000 input tokens compared to Nova Micro's 128,000 tokens. Both models can generate responses up to 128,000 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Amazon
Nova Micro
Input128,000 tokens
Output128,000 tokens
Sat Jun 06 2026 • llm-stats.com

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Nova Micro 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 Micro

Proprietary

Closed source

Release Timeline

When each model was launched

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

GLM-5 is 15 months newer than Nova Micro.

GLM-5

Feb 11, 2026

3 months ago

1.2yr newer
Nova Micro

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 Micro 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 Micro

bedrock logo
AWS Bedrock
Input Price:Input: $0.03/1MOutput Price:Output: $0.14/1M
* 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)
Has open weights
Amazon
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

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

FAQ

Common questions about GLM-5 vs Nova Micro.

Which is better, GLM-5 or Nova Micro?

GLM-5 (Zhipu AI) and Nova Micro (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 Micro 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 Micro scores GSM8k: 92.3%, ARC-C: 90.2%, Translation Set1→en COMET22: 88.7%, Translation en→Set1 COMET22: 88.5%, IFEval: 87.2%.

Is GLM-5 cheaper than Nova Micro?

Nova Micro is 33.3x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. Nova Micro costs $0.03/M input and $0.14/M output via bedrock.

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

GLM-5 supports 200K tokens and Nova Micro supports 128K 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 Micro?

Key differences include context window (200K vs 128K), input pricing ($1.00 vs $0.03/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and Nova Micro?

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

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