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o4 Mini High vs GLM 5V Turbo

o4 Mini High

OpenAI

72#146
vs
GLM 5V Turbo

Zhipu AI

72#145
Signal-by-Signal Comparison
Signalo4 Mini HighDeltaGLM 5V Turbo
Capabilities
100
+17
83
Benchmarks
70
-1
71
Pricing
96
0
96
Context window size
84
0
84
Recency
46
-54
100
Output Capacity
83
-2
85
Overall Result
1 wins
of 6
5 wins
GLM 5V Turbo wins 5 of 6 signals

Score History

Score History (25 data points)
o4 Mini HighGLM 5V Turbo
o4 Mini High

72.1

current score

Leader

GLM 5V Turbo

right now

GLM 5V Turbo

72.3

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

o4 Mini High

OpenAI

Per request$0.003300
Daily$11.00
Monthly$330.00
Annual$3960.00

GLM 5V Turbo

Zhipu AI

Best Value
Per request$0.003200
Daily$10.67
Monthly$320.00
Annual$3840.00

GLM 5V Turbo saves you $10.00/month

That's $120.00/year compared to o4 Mini High at your current usage level of 100K calls/month.

3% cheaper
Choose GLM 5V Turbo for cost optimization

o4 Mini High pricing:
Input:$1.10/M tokens
Output:$4.40/M tokens
GLM 5V Turbo pricing:
Input:$1.20/M tokens
Output:$4.00/M tokens
o4 Mini High

OpenAI

72

Composite Score

Winner
GLM 5V Turbo

Zhipu AI

72

Composite Score

Signal-by-Signal Comparison
Metrico4 Mini HighGLM 5V TurboWinner
Overall Score
72
72
GLM 5V Turbo
Rank#146#145
GLM 5V Turbo
Quality Rank#146#145
GLM 5V Turbo
Adoption Rank#146#145
GLM 5V Turbo
Parameters------
Context Window200K203K
GLM 5V Turbo
Pricing$1.10/$4.40/M$1.20/$4.00/M--
Signal Scores
Capabilities
100
83
o4 Mini High
Benchmarks
70
71
GLM 5V Turbo
Pricing
96
96
GLM 5V Turbo
Context window size
84
84
GLM 5V Turbo
Recency
46
100
GLM 5V Turbo
Output Capacity
83
85
GLM 5V Turbo
Benchmark Head-to-Head(2 benchmarks)
o4 Mini: 0GLM 5V: 0
o4 Mini
GLM 5V
Normalized 0-100%
Arena Elo
-1433
LiveBench
87.3%-
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

o4 Mini HighStrong Performer

Scores 72/100 (rank #146), placing it in the top 50% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GLM 5V TurboStrong Performer

Scores 72/100 (rank #145), placing it in the top 50% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose o4 Mini High when you need:

  • Step-by-step reasoning and chain-of-thought problem solving

Choose GLM 5V Turbo when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
o4 Mini High
Input cost$1.10/M tokens
Output cost$4.40/M tokens
Cost per quality point$0.076
Est. monthly (1M tokens/day)$82.50
GLM 5V TurboBest Value
Input cost$1.20/M tokens
Output cost$4.00/M tokens
Cost per quality point$0.072
Est. monthly (1M tokens/day)$78.00

GLM 5V Turbo offers 5% better value per quality point. At 1M tokens/day, you'd spend $78.00/month with GLM 5V Turbo vs $82.50/month with o4 Mini High - a $4.50 monthly difference.

Latency & Speed
o4 Mini HighFaster
Speed score0/100
GLM 5V Turbo
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

o4 Mini High

Customer support chatbot

Suitable for user-facing chat with competitive response times. GLM 5V Turbo also offers lower per-token costs for high-volume support

o4 Mini High

Long document analysis

Larger context window (203K tokens) can process longer documents, contracts, and research papers in a single pass

GLM 5V Turbo

Batch data extraction

Lower output pricing ($4.00/M) reduces costs when processing thousands of records daily

GLM 5V Turbo

Creative writing & content

Higher overall composite score (72/100) correlates with better nuance, coherence, and style in long-form content

GLM 5V Turbo

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

o4 Mini High
Which Should You Choose?
Our recommendation:
GLM 5V Turbo

o4 Mini High and GLM 5V Turbo are extremely close in overall performance (only 0.20000000000000284 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by OpenAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale
GLM 5V Turbo
Recommended

by Zhipu AI

  • Choose for Cost - 5% lower pricing; better value at scale
Capability Comparison
Capabilityo4 Mini HighGLM 5V Turbo
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

o4 Mini High

OpenAI

$7.26
estimated monthly cost

GLM 5V Turbo

Zhipu AI

Best Value
$6.96
estimated monthly cost

GLM 5V Turbo saves you $0.3000/month

That's 4% cheaper than o4 Mini High at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
Parametero4 Mini HighGLM 5V Turbo
Context Window200K203K
Max Output Tokens100,000131,072
Open SourceNoNo
CreatedApr 16, 2025Apr 1, 2026
Last updated: 32m ago

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