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Claude Opus 4.5 vs GLM 5.3 Flash

Claude Opus 4.5

Anthropic

85#66
vs
GLM 5.3 Flash

Zhipu AI

84#68
Signal-by-Signal Comparison
SignalClaude Opus 4.5DeltaGLM 5.3 Flash
Capabilities
100
+17
83
Benchmarks
85
+1
84
Pricing
75
-25
100
Context window size
84
-13
97
Recency
83
-17
100
Output Capacity
77
-5
82
Overall Result
2 wins
of 6
4 wins
GLM 5.3 Flash wins 4 of 6 signals

Score History

Score History (28 data points)
Claude Opus 4.5GLM 5.3 Flash
Claude Opus 4.5

85.1

current score

Leader

Claude Opus 4.5

right now

GLM 5.3 Flash

83.6

current score

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

Claude Opus 4.5

Anthropic

Per request$0.017500
Daily$58.33
Monthly$1750.00
Annual$21000.00

GLM 5.3 Flash

Zhipu AI

Best Value
Per request$0.000200
Daily$0.67
Monthly$20.00
Annual$240.00

GLM 5.3 Flash saves you $1730.00/month

That's $20760.00/year compared to Claude Opus 4.5 at your current usage level of 100K calls/month.

99% cheaper
Choose GLM 5.3 Flash for cost optimization

Claude Opus 4.5 pricing:
Input:$5.00/M tokens
Output:$25.00/M tokens
GLM 5.3 Flash pricing:
Input:$0.07/M tokens
Output:$0.25/M tokens
Winner
Claude Opus 4.5

Anthropic

85

Composite Score

GLM 5.3 Flash

Zhipu AI

84

Composite Score

Signal-by-Signal Comparison
MetricClaude Opus 4.5GLM 5.3 FlashWinner
Overall Score
85
84
Claude Opus 4.5
Rank#66#68
Claude Opus 4.5
Quality Rank#66#68
Claude Opus 4.5
Adoption Rank#66#68
Claude Opus 4.5
Parameters------
Context Window200K1311K
GLM 5.3 Flash
Pricing$5.00/$25.00/M$0.07/$0.25/M--
Signal Scores
Capabilities
100
83
Claude Opus 4.5
Benchmarks
85
84
Claude Opus 4.5
Pricing
75
100
GLM 5.3 Flash
Context window size
84
97
GLM 5.3 Flash
Recency
83
100
GLM 5.3 Flash
Output Capacity
77
82
GLM 5.3 Flash
Benchmark Head-to-Head(12 benchmarks)
Claude Opus: 1GLM 5.3: 2
Claude Opus
GLM 5.3
Normalized 0-100%
MMLU
91.4%-
MMLU-Pro
78%86%
GPQA Diamond
86.2%-
MATH-500
88.1%-
HumanEval
95.2%-
SWE-bench Verified
80.9%72.8%
AIME 2024
72%-
IFEval
91.5%-
BBH
90%-
Arena Elo
14301457
LiveBench
74%-
HLE
32.1%-
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.

Claude Opus 4.5Elite Tier

Scores 85/100 (rank #66), placing it in the top 78% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GLM 5.3 FlashStrong Performer

Scores 84/100 (rank #68), placing it in the top 77% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 2-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 Claude Opus 4.5 when you need:

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

Choose GLM 5.3 Flash when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (1311K token context)
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Claude Opus 4.5
Input cost$5.00/M tokens
Output cost$25.00/M tokens
Cost per quality point$0.353
Est. monthly (1M tokens/day)$450.00
GLM 5.3 FlashBest Value
Input cost$0.07/M tokens
Output cost$0.25/M tokens
Cost per quality point$0.004
Est. monthly (1M tokens/day)$4.88

GLM 5.3 Flash offers 99% better value per quality point. At 1M tokens/day, you'd spend $4.88/month with GLM 5.3 Flash vs $450.00/month with Claude Opus 4.5 - a $445.13 monthly difference.

Latency & Speed
Claude Opus 4.5Faster
Speed score0/100
GLM 5.3 Flash
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

Claude Opus 4.5

Customer support chatbot

Suitable for user-facing chat with competitive response times. GLM 5.3 Flash also offers lower per-token costs for high-volume support

Claude Opus 4.5

Long document analysis

Larger context window (1311K tokens) can process longer documents, contracts, and research papers in a single pass

GLM 5.3 Flash

Batch data extraction

Lower output pricing ($0.25/M) reduces costs when processing thousands of records daily

GLM 5.3 Flash

Creative writing & content

Higher overall composite score (85/100) correlates with better nuance, coherence, and style in long-form content

Claude Opus 4.5

Image understanding & OCR

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

Claude Opus 4.5
Which Should You Choose?
Our recommendation:
Claude Opus 4.5

Claude Opus 4.5 and GLM 5.3 Flash are extremely close in overall performance (only 1.5 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

Claude Opus 4.5
Recommended

by Anthropic

  • 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 - 99% lower pricing; better value at scale
Capability Comparison
CapabilityClaude Opus 4.5GLM 5.3 Flash
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)

Claude Opus 4.5

Anthropic

$39.00
estimated monthly cost

GLM 5.3 Flash

Zhipu AI

Best Value
$0.4350
estimated monthly cost

GLM 5.3 Flash saves you $38.56/month

That's 99% cheaper than Claude Opus 4.5 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
ParameterClaude Opus 4.5GLM 5.3 Flash
Context Window200K1.3M
Max Output Tokens64,000131,072
Open SourceNoYes
CreatedNov 24, 2025Aug 26, 2026
Last updated: 48m ago

相关对比

Claude Opus 4.5 vs GLM 5.3 Flash (2026) | LM Market Cap