The AI arena is free today

Open Superagent

GLM-5.3 vs Phi 4

Comparing GLM-5.3 and Phi 4 across benchmarks, pricing, and capabilities.

Zhipu AI · Microsoft · Updated for 2026

Which is better?

GLM-5.3 and Phi 4 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, Phi 4 is roughly 24.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-5.3 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current benchmark, pricing, and model metadata for 2026.

Choose GLM-5.3

  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Aug 2026

Choose Phi 4

  • cost matters — it's about 24.6x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Benchmark wins
Input price
$1.40 / M
$0.07 / M
Output price
$4.40 / M
$0.14 / M
Context window
1,000,000
16,000
Released
Aug 2026
Dec 2024
License
Unknown
MIT

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5.3 and Phi 4don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Pricing Analysis

Price comparison per million tokens

Phi 4 costs less

For input processing, GLM-5.3 ($1.40/1M tokens) is 20.0x more expensive than Phi 4 ($0.07/1M tokens).

For output processing, GLM-5.3 ($4.40/1M tokens) is 31.4x more expensive than Phi 4 ($0.14/1M tokens).

In conclusion, GLM-5.3 is more expensive than Phi 4.*

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

Lowest available price from all providers
Tue Aug 25 2026 • llm-stats.com
Zhipu AI
GLM-5.3
Input tokens$1.40
Output tokens$4.40
Best providerUnknown Organization
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

738.3B diff

GLM-5.3 has 738.3B more parameters than Phi 4, making it 5022.4% larger.

Zhipu AI
GLM-5.3
753.0Bparameters
Microsoft
Phi 4
14.7Bparameters
753.0B
GLM-5.3
14.7B
Phi 4

Context Window

Maximum input and output token capacity

GLM-5.3 accepts 1,000,000 input tokens compared to Phi 4's 16,000 tokens. GLM-5.3 can generate longer responses up to 128,000 tokens, while Phi 4 is limited to 16,000 tokens.

Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
Microsoft
Phi 4
Input16,000 tokens
Output16,000 tokens
Tue Aug 25 2026 • llm-stats.com

Release Timeline

When each model was launched

GLM-5.3 was released on 2026-08-14, while Phi 4 was released on 2024-12-12.

GLM-5.3 is 20 months newer than Phi 4.

GLM-5.3

Aug 14, 2026

1 weeks ago

1.7yr newer
Phi 4

Dec 12, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Phi 4 has a documented knowledge cutoff of 2024-06-01, while GLM-5.3'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-5.3's cutoff date.

GLM-5.3

Phi 4

Jun 2024

Provider Availability

GLM-5.3 is available from ZAI. Phi 4 is available from DeepInfra.

GLM-5.3

z logo
Unknown Organization
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M

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

Judge for yourself.

Run your own prompts against GLM-5.3 and Phi 4 side-by-side, then vote on the output you prefer.

GLM-5.3
✓ Preferred
Phi 4
Open in Playground

FAQ

Common questions about GLM-5.3 vs Phi 4.

Which is better, GLM-5.3 or Phi 4?

GLM-5.3 (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-5.3 compare to Phi 4 in benchmarks?

GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%. Phi 4 scores MMLU: 84.8%, HumanEval+: 82.8%, HumanEval: 82.6%, MGSM: 80.6%, MATH: 80.4%.

Is GLM-5.3 cheaper than Phi 4?

Phi 4 is 20.0x cheaper for input tokens. GLM-5.3 costs $1.40/M input and $4.40/M output via z. Phi 4 costs $0.07/M input and $0.14/M output via deepinfra.

What are the context window sizes for GLM-5.3 and Phi 4?

GLM-5.3 supports 1.0M 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-5.3 and Phi 4?

Key differences include context window (1.0M vs 16K), input pricing ($1.40 vs $0.07/M), licensing (Unknown vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3 and Phi 4?

GLM-5.3 is developed by Zhipu AI and Phi 4 is developed by Microsoft.