Model Comparison

GLM-5 vs Phi 4Which is better in 2026?

Comparing GLM-5 and Phi 4 across benchmarks, pricing, and capabilities.

Verdict: GLM-5 vs Phi 4 — which is better?

GLM-5 (by Zhipu AI) and Phi 4 (by Microsoft) 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, Phi 4 is roughly 17.7x 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

Choose Phi 4 if…

  • cost matters — it's about 17.7x cheaper per token
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and Phi 4 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

Phi 4 costs less

For input processing, GLM-5 ($1.00/1M tokens) is 14.3x more expensive than Phi 4 ($0.07/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 22.9x more expensive than Phi 4 ($0.14/1M tokens).

In conclusion, GLM-5 is more expensive than Phi 4.*

* 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
Microsoft
Phi 4
Input tokens$0.07
Output tokens$0.14
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

729.3B diff

GLM-5 has 729.3B more parameters than Phi 4, making it 4961.2% larger.

Zhipu AI
GLM-5
744.0Bparameters
Microsoft
Phi 4
14.7Bparameters
744.0B
GLM-5
14.7B
Phi 4

Context Window

Maximum input and output token capacity

GLM-5 accepts 200,000 input tokens compared to Phi 4's 16,000 tokens. GLM-5 can generate longer responses up to 128,000 tokens, while Phi 4 is limited to 16,000 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Microsoft
Phi 4
Input16,000 tokens
Output16,000 tokens
Sat Jun 06 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

GLM-5

MIT

Open weights

Phi 4

MIT

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Phi 4 was released on 2024-12-12.

GLM-5 is 14 months newer than Phi 4.

GLM-5

Feb 11, 2026

3 months ago

1.2yr newer
Phi 4

Dec 12, 2024

1.5 years ago

Knowledge Cutoff

When training data ends

Phi 4 has a documented knowledge cutoff of 2024-06-01, while GLM-5's cutoff date is not specified.

We can confirm Phi 4's training data extends to 2024-06-01, but cannot make a direct comparison without GLM-5's cutoff date.

GLM-5

—

Phi 4

Jun 2024

Provider Availability

GLM-5 is available from FriendliAI, ZAI. Phi 4 is available from DeepInfra.

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

Phi 4

deepinfra logo
Deepinfra
Input Price:Input: $0.07/1MOutput 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)
Microsoft
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Microsoft
Phi 4

FAQ

Common questions about GLM-5 vs Phi 4.

Which is better, GLM-5 or Phi 4?

GLM-5 (Zhipu AI) and Phi 4 (Microsoft) 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 Phi 4 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%. Phi 4 scores MMLU: 84.8%, HumanEval+: 82.8%, HumanEval: 82.6%, MGSM: 80.6%, MATH: 80.4%.

Is GLM-5 cheaper than Phi 4?

Phi 4 is 14.3x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. Phi 4 costs $0.07/M input and $0.14/M output via deepinfra.

What are the context window sizes for GLM-5 and Phi 4?

GLM-5 supports 200K tokens and Phi 4 supports 16K 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 Phi 4?

Key differences include context window (200K vs 16K), input pricing ($1.00 vs $0.07/M). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and Phi 4?

GLM-5 is developed by Zhipu AI and Phi 4 is developed by Microsoft.

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