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GLM 5.3 vs GLM 5V Turbo

GLM 5.3

Zhipu AI

69#139
vs
GLM 5V Turbo

Zhipu AI

69#137
Signal-by-Signal Comparison
SignalGLM 5.3DeltaGLM 5V Turbo
Capabilities
67
-17
83
Benchmarks
69
--
69
Pricing
95
-1
96
Context window size
96
+11
84
Recency
100
+3
97
Output Capacity
96
+14
82
Overall Result
3 wins
of 6
2 wins
GLM 5.3 wins 3 of 6 signals

Score History

Score History (27 data points)
GLM 5.3GLM 5V Turbo
GLM 5.3

68.9

current score

Leader

GLM 5V Turbo

right now

GLM 5V Turbo

69.2

current score

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

GLM 5.3

Zhipu AI

Best Value
Per request$0.002479
Daily$8.26
Monthly$247.90
Annual$2974.80

GLM 5V Turbo

Zhipu AI

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

GLM 5.3 saves you $72.10/month

That's $865.20/year compared to GLM 5V Turbo at your current usage level of 100K calls/month.

23% cheaper
Choose GLM 5.3 for cost optimization

GLM 5.3 pricing:
Input:$0.08/M tokens
Output:$4.80/M tokens
GLM 5V Turbo pricing:
Input:$1.20/M tokens
Output:$4.00/M tokens
GLM 5.3

Zhipu AI

69

Composite Score

Winner
GLM 5V Turbo

Zhipu AI

69

Composite Score

Signal-by-Signal Comparison
MetricGLM 5.3GLM 5V TurboWinner
Overall Score
69
69
GLM 5V Turbo
Rank#139#137
GLM 5V Turbo
Quality Rank#139#137
GLM 5V Turbo
Adoption Rank#139#137
GLM 5V Turbo
Parameters------
Context Window1049K203K
GLM 5.3
Pricing$0.08/$4.80/M$1.20/$4.00/M--
Signal Scores
Capabilities
67
83
GLM 5V Turbo
Benchmarks
69
69
GLM 5.3
Pricing
95
96
GLM 5V Turbo
Context window size
96
84
GLM 5.3
Recency
100
97
GLM 5.3
Output Capacity
96
82
GLM 5.3
Benchmark Head-to-Head(1 benchmarks)
GLM 5.3: 01 tiesGLM 5V: 0
GLM 5.3
GLM 5V
Normalized 0-100%
MMLU-Pro
86%86%
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.

GLM 5.3Competitive

Scores 69/100 (rank #139), placing it in the top 52% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GLM 5V TurboCompetitive

Scores 69/100 (rank #137), placing it in the top 53% 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 GLM 5.3 when you need:

  • Processing long documents or large codebases (1049K token context)
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model

Choose GLM 5V Turbo when you need:

  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
GLM 5.3Best Value
Input cost$0.08/M tokens
Output cost$4.80/M tokens
Cost per quality point$0.071
Est. monthly (1M tokens/day)$73.19
GLM 5V Turbo
Input cost$1.20/M tokens
Output cost$4.00/M tokens
Cost per quality point$0.075
Est. monthly (1M tokens/day)$78.00

GLM 5.3 offers 6% better value per quality point. At 1M tokens/day, you'd spend $73.19/month with GLM 5.3 vs $78.00/month with GLM 5V Turbo - a $4.81 monthly difference.

Latency & Speed
GLM 5.3Faster
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

GLM 5.3

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

GLM 5.3

Long document analysis

Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass

GLM 5.3

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 (69/100) 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

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

GLM 5.3 and GLM 5V Turbo are extremely close in overall performance (only 0.29999999999999716 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by Zhipu AI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 6% lower pricing; better value at scale
  • 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

Consider for specialized use cases.

Capability Comparison
CapabilityGLM 5.3GLM 5V Turbo
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GLM 5.3

Zhipu AI

Best Value
$5.90
estimated monthly cost

GLM 5V Turbo

Zhipu AI

$6.96
estimated monthly cost

GLM 5.3 saves you $1.06/month

That's 15% cheaper than GLM 5V Turbo 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
ParameterGLM 5.3GLM 5V Turbo
Context Window1.0M203K
Max Output Tokens943,718131,072
Open SourceYesNo
CreatedAug 18, 2026Apr 1, 2026
Last updated: 15m ago

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