Skip to content

Gemini 2.5 Pro Preview 06-05 vs GLM 5.2

vs
GLM 5.2

Zhipu AI

83#72
Signal-by-Signal Comparison
SignalGemini 2.5 Pro Preview 06-05DeltaGLM 5.2
Capabilities
100
+33
67
Benchmarks
80
-4
84
Pricing
90
-8
98
Context window size
96
--
96
Recency
54
-46
100
Output Capacity
80
-10
90
Overall Result
1 wins
of 6
4 wins
GLM 5.2 wins 4 of 6 signals

Score History

Score History (26 data points)
Gemini 2.5 Pro Preview 06-05GLM 5.2
Gemini 2.5 Pro Preview 06-05

83.5

current score

Leader

Gemini 2.5 Pro Preview 06-05

right now

GLM 5.2

82.7

current score

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

Gemini 2.5 Pro Preview 06-05

Google

Per request$0.006250
Daily$20.83
Monthly$625.00
Annual$7500.00

GLM 5.2

Zhipu AI

Best Value
Per request$0.001970
Daily$6.57
Monthly$197.00
Annual$2364.00

GLM 5.2 saves you $428.00/month

That's $5136.00/year compared to Gemini 2.5 Pro Preview 06-05 at your current usage level of 100K calls/month.

68% cheaper
Choose GLM 5.2 for cost optimization

Gemini 2.5 Pro Preview 06-05 pricing:
Input:$1.25/M tokens
Output:$10.00/M tokens
GLM 5.2 pricing:
Input:$0.76/M tokens
Output:$2.42/M tokens
Winner
Gemini 2.5 Pro Preview 06-05

Google

84

Composite Score

GLM 5.2

Zhipu AI

83

Composite Score

Signal-by-Signal Comparison
MetricGemini 2.5 Pro Preview 06-05GLM 5.2Winner
Overall Score
84
83
Gemini 2.5 Pro Preview 06-05
Rank#70#72
Gemini 2.5 Pro Preview 06-05
Quality Rank#70#72
Gemini 2.5 Pro Preview 06-05
Adoption Rank#70#72
Gemini 2.5 Pro Preview 06-05
Parameters------
Context Window1049K1049K--
Pricing$1.25/$10.00/M$0.76/$2.42/M--
Signal Scores
Capabilities
100
67
Gemini 2.5 Pro Preview 06-05
Benchmarks
80
84
GLM 5.2
Pricing
90
98
GLM 5.2
Context window size
96
96
Gemini 2.5 Pro Preview 06-05
Recency
54
100
GLM 5.2
Output Capacity
80
90
GLM 5.2
Benchmark Head-to-Head(12 benchmarks)
Gemini 2.5: 01 tiesGLM 5.2: 2
Gemini 2.5
GLM 5.2
Normalized 0-100%
MMLU
90.8%-
MMLU-Pro
86%86%
GPQA Diamond
84%-
MATH-500
95.2%-
SWE-bench Verified
63.8%72.8%
AIME 2024
92%-
IFEval
87.2%-
BBH
88%-
Arena Elo
14441457
LiveBench
75.6%-
HLE
35.2%-
BigCodeBench
29.7%-
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.

Gemini 2.5 Pro Preview 06-05Strong Performer

Scores 84/100 (rank #70), placing it in the top 76% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GLM 5.2Strong Performer

Scores 83/100 (rank #72), placing it in the top 76% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 1-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 Gemini 2.5 Pro Preview 06-05 when you need:

  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving

Choose GLM 5.2 when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Gemini 2.5 Pro Preview 06-05
Input cost$1.25/M tokens
Output cost$10.00/M tokens
Cost per quality point$0.135
Est. monthly (1M tokens/day)$168.75
GLM 5.2Best Value
Input cost$0.76/M tokens
Output cost$2.42/M tokens
Cost per quality point$0.038
Est. monthly (1M tokens/day)$47.70

GLM 5.2 offers 72% better value per quality point. At 1M tokens/day, you'd spend $47.70/month with GLM 5.2 vs $168.75/month with Gemini 2.5 Pro Preview 06-05 - a $121.05 monthly difference.

Latency & Speed
Gemini 2.5 Pro Preview 06-05Faster
Speed score0/100
GLM 5.2
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

Gemini 2.5 Pro Preview 06-05

Customer support chatbot

Suitable for user-facing chat with competitive response times. GLM 5.2 also offers lower per-token costs for high-volume support

Gemini 2.5 Pro Preview 06-05

Long document analysis

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

Gemini 2.5 Pro Preview 06-05

Batch data extraction

Lower output pricing ($2.42/M) reduces costs when processing thousands of records daily

GLM 5.2

Creative writing & content

Higher overall composite score (84/100) correlates with better nuance, coherence, and style in long-form content

Gemini 2.5 Pro Preview 06-05

Image understanding & OCR

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

Gemini 2.5 Pro Preview 06-05
Which Should You Choose?
Our recommendation:
Gemini 2.5 Pro Preview 06-05

Gemini 2.5 Pro Preview 06-05 and GLM 5.2 are extremely close in overall performance (only 0.7999999999999972 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by Google

  • 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

by Zhipu AI

  • Choose for Cost - 72% lower pricing; better value at scale
Capability Comparison
CapabilityGemini 2.5 Pro Preview 06-05GLM 5.2
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Gemini 2.5 Pro Preview 06-05

Google

$14.25
estimated monthly cost

GLM 5.2

Zhipu AI

Best Value
$4.27
estimated monthly cost

GLM 5.2 saves you $9.98/month

That's 70% cheaper than Gemini 2.5 Pro Preview 06-05 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
ParameterGemini 2.5 Pro Preview 06-05GLM 5.2
Context Window1.0M1.0M
Max Output Tokens65,536262,144
Open SourceNoYes
CreatedJun 5, 2025Jun 16, 2026
Last updated: 41m ago

Related comparisons

Gemini 2.5 Pro Preview 06-05 vs GLM 5.2 (2026) | LM Market Cap