Model Comparison

GLM-5 vs U2Which is better in 2026?

Comparing GLM-5 and U2 across benchmarks, pricing, and capabilities.

Verdict: GLM-5 vs U2 — which is better?

GLM-5 (by Zhipu AI) and U2 (by Unisound) 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, U2 is roughly 8.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Choose GLM-5 if…

  • you need open weights you can self-host or fine-tune

Choose U2 if…

  • cost matters — it's about 8.3x cheaper per token
  • you want the most recent training data — it shipped Jun 2026
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and U2 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

U2 costs less

For input processing, GLM-5 ($1.00/1M tokens) is 6.7x more expensive than U2 ($0.15/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 10.7x more expensive than U2 ($0.30/1M tokens).

In conclusion, GLM-5 is more expensive than U2.*

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

Lowest available price from all providers
Tue Jun 09 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerFriendliAI
Unisound
U2
Input tokens$0.15
Output tokens$0.30
Best providerUnisound
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

478.0B diff

GLM-5 has 478.0B more parameters than U2, making it 179.7% larger.

Zhipu AI
GLM-5
744.0Bparameters
Unisound
U2
266.0Bparameters
744.0B
GLM-5
266.0B
U2

Context Window

Maximum input and output token capacity

Only GLM-5 specifies input context (200,000 tokens). Only GLM-5 specifies output context (128,000 tokens).

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Unisound
U2
Input- tokens
Output- tokens
Tue Jun 09 2026 • llm-stats.com

License

Usage and distribution terms

GLM-5 is licensed under MIT, while U2 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

U2

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while U2 was released on 2026-06-05.

U2 is 4 months newer than GLM-5.

GLM-5

Feb 11, 2026

3 months ago

U2

Jun 5, 2026

4 days ago

3mo newer

Knowledge Cutoff

When training data ends

U2 has a documented knowledge cutoff of 2026-01-31, while GLM-5's cutoff date is not specified.

We can confirm U2's training data extends to 2026-01-31, but cannot make a direct comparison without GLM-5's cutoff date.

GLM-5

—

U2

Jan 2026

Provider Availability

GLM-5 is available from FriendliAI, ZAI. U2 is available from Unisound.

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

U2

unisound logo
Unisound
Input Price:Input: $0.15/1MOutput Price:Output: $0.30/1M
* 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
Unisound
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Unisound
U2

FAQ

Common questions about GLM-5 vs U2.

Which is better, GLM-5 or U2?

GLM-5 (Zhipu AI) and U2 (Unisound) 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 U2 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 U2?

U2 is 6.7x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. U2 costs $0.15/M input and $0.30/M output via unisound.

What are the context window sizes for GLM-5 and U2?

GLM-5 supports 200K tokens and U2 supports an unknown number of 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 U2?

Key differences include input pricing ($1.00 vs $0.15/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and U2?

GLM-5 is developed by Zhipu AI and U2 is developed by Unisound.

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