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Gemini 2.5 Pro vs GLM 5

Gemini 2.5 Pro

Google

84#47
vs
GLM 5

Zhipu AI

78#73
Signal-by-Signal Comparison
SignalGemini 2.5 ProDeltaGLM 5
Capabilities
100
+33
67
Benchmarks
80
-1
81
Pricing
90
-7
98
Context window size
96
+11
84
Recency
59
-41
100
Output Capacity
80
-5
85
Overall Result
2 wins
of 6
4 wins
GLM 5 wins 4 of 6 signals

Score History

Score History (24 data points)
Gemini 2.5 ProGLM 5
Gemini 2.5 Pro

83.5

current score

Leader

Gemini 2.5 Pro

right now

GLM 5

78

current score

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

Gemini 2.5 Pro

Google

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

GLM 5

Zhipu AI

Best Value
Per request$0.002225
Daily$7.42
Monthly$222.50
Annual$2670.00

GLM 5 saves you $402.50/month

That's $4830.00/year compared to Gemini 2.5 Pro at your current usage level of 100K calls/month.

64% cheaper
Choose GLM 5 for cost optimization

Gemini 2.5 Pro pricing:
Input:$1.25/M tokens
Output:$10.00/M tokens
GLM 5 pricing:
Input:$0.95/M tokens
Output:$2.55/M tokens
Winner
Gemini 2.5 Pro

Google

84

Composite Score

GLM 5

Zhipu AI

78

Composite Score

Signal-by-Signal Comparison
MetricGemini 2.5 ProGLM 5Winner
Overall Score
84
78
Gemini 2.5 Pro
Rank#47#73
Gemini 2.5 Pro
Quality Rank#47#73
Gemini 2.5 Pro
Adoption Rank#47#73
Gemini 2.5 Pro
Parameters------
Context Window1049K205K
Gemini 2.5 Pro
Pricing$1.25/$10.00/M$0.95/$2.55/M--
Signal Scores
Capabilities
100
67
Gemini 2.5 Pro
Benchmarks
80
81
GLM 5
Pricing
90
98
GLM 5
Context window size
96
84
Gemini 2.5 Pro
Recency
59
100
GLM 5
Output Capacity
80
85
GLM 5
Benchmark Head-to-Head(12 benchmarks)
Gemini 2.5: 01 tiesGLM 5: 1
Gemini 2.5
GLM 5
Normalized 0-100%
MMLU
90.8%-
MMLU-Pro
86%86%
GPQA Diamond
84%-
MATH-500
95.2%-
SWE-bench Verified
63.8%-
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 ProStrong Performer

Scores 84/100 (rank #47), placing it in the top 84% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GLM 5Strong Performer

Scores 78/100 (rank #73), placing it in the top 75% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Gemini 2.5 Pro has a 6-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Gemini 2.5 Pro when you need:

  • Processing long documents or large codebases (1049K token context)
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving

Choose GLM 5 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
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 5Best Value
Input cost$0.95/M tokens
Output cost$2.55/M tokens
Cost per quality point$0.045
Est. monthly (1M tokens/day)$52.50

GLM 5 offers 69% better value per quality point. At 1M tokens/day, you'd spend $52.50/month with GLM 5 vs $168.75/month with Gemini 2.5 Pro - a $116.25 monthly difference.

Latency & Speed
Gemini 2.5 ProFaster
Speed score0/100
GLM 5
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

Customer support chatbot

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

Gemini 2.5 Pro

Long document analysis

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

Gemini 2.5 Pro

Batch data extraction

Lower output pricing ($2.55/M) reduces costs when processing thousands of records daily

GLM 5

Creative writing & content

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

Gemini 2.5 Pro

Image understanding & OCR

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

Gemini 2.5 Pro
Which Should You Choose?
Our recommendation:
Gemini 2.5 Pro

Gemini 2.5 Pro has a moderate advantage with a 5.5-point lead in composite score. It wins on more signal dimensions, but GLM 5 has specific strengths that could make it the better choice for certain workflows.

Gemini 2.5 Pro
Recommended

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 - 69% lower pricing; better value at scale
Capability Comparison
CapabilityGemini 2.5 ProGLM 5
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

Google

$14.25
estimated monthly cost

GLM 5

Zhipu AI

Best Value
$4.77
estimated monthly cost

GLM 5 saves you $9.48/month

That's 67% cheaper than Gemini 2.5 Pro 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 ProGLM 5
Context Window1.0M205K
Max Output Tokens65,536131,072
Open SourceNoYes
CreatedJun 17, 2025Feb 11, 2026
Last updated: 59m ago

相关对比

Gemini 2.5 Pro vs GLM 5 (2026) | LM Market Cap