Skip to content

Claude Sonnet 4.5 (batch) vs GLM 5 Turbo

vs
GLM 5 Turbo

Zhipu AI

82#77
Signal-by-Signal Comparison
SignalClaude Sonnet 4.5 (batch)DeltaGLM 5 Turbo
Capabilities
100
+33
67
Benchmarks
82
-2
84
Pricing
93
-3
96
Context window size
95
+11
84
Recency
76
-24
100
Output Capacity
80
-5
85
Overall Result
2 wins
of 6
4 wins
GLM 5 Turbo wins 4 of 6 signals

Score History

Score History (21 data points)
Claude Sonnet 4.5 (batch)GLM 5 Turbo
Claude Sonnet 4.5 (batch)

82.4

current score

Leader

Claude Sonnet 4.5 (batch)

right now

GLM 5 Turbo

82.1

current score

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

Claude Sonnet 4.5 (batch)

Anthropic

Per request$0.005250
Daily$17.50
Monthly$525.00
Annual$6300.00

GLM 5 Turbo

Zhipu AI

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

GLM 5 Turbo saves you $205.00/month

That's $2460.00/year compared to Claude Sonnet 4.5 (batch) at your current usage level of 100K calls/month.

39% cheaper
Choose GLM 5 Turbo for cost optimization

Claude Sonnet 4.5 (batch) pricing:
Input:$1.50/M tokens
Output:$7.50/M tokens
GLM 5 Turbo pricing:
Input:$1.20/M tokens
Output:$4.00/M tokens
Winner
Claude Sonnet 4.5 (batch)

Anthropic

82

Composite Score

GLM 5 Turbo

Zhipu AI

82

Composite Score

Signal-by-Signal Comparison
MetricClaude Sonnet 4.5 (batch)GLM 5 TurboWinner
Overall Score
82
82
Claude Sonnet 4.5 (batch)
Rank#75#77
Claude Sonnet 4.5 (batch)
Quality Rank#75#77
Claude Sonnet 4.5 (batch)
Adoption Rank#75#77
Claude Sonnet 4.5 (batch)
Parameters------
Context Window1000K203K
Claude Sonnet 4.5 (batch)
Pricing$1.50/$7.50/M$1.20/$4.00/M--
Signal Scores
Capabilities
100
67
Claude Sonnet 4.5 (batch)
Benchmarks
82
84
GLM 5 Turbo
Pricing
93
96
GLM 5 Turbo
Context window size
95
84
Claude Sonnet 4.5 (batch)
Recency
76
100
GLM 5 Turbo
Output Capacity
80
85
GLM 5 Turbo
Benchmark Head-to-Head(12 benchmarks)
Claude Sonnet: 1GLM 5: 2
Claude Sonnet
GLM 5
Normalized 0-100%
MMLU
90.8%-
MMLU-Pro
76.5%86%
GPQA Diamond
83.4%-
MATH-500
83%-
HumanEval
94.5%-
SWE-bench Verified
77.2%72.8%
AIME 2024
60%-
IFEval
90.2%-
BBH
88.5%-
Arena Elo
14521457
LiveBench
70.5%-
HLE
13.72%-
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 Sonnet 4.5 (batch)Strong Performer

Scores 82/100 (rank #75), placing it in the top 74% of all 290 models tracked.

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

Scores 82/100 (rank #77), placing it in the top 74% 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 Claude Sonnet 4.5 (batch) when you need:

  • Processing long documents or large codebases (1000K token context)
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving

Choose GLM 5 Turbo when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Claude Sonnet 4.5 (batch)
Input cost$1.50/M tokens
Output cost$7.50/M tokens
Cost per quality point$0.109
Est. monthly (1M tokens/day)$135.00
GLM 5 TurboBest Value
Input cost$1.20/M tokens
Output cost$4.00/M tokens
Cost per quality point$0.063
Est. monthly (1M tokens/day)$78.00

GLM 5 Turbo offers 42% better value per quality point. At 1M tokens/day, you'd spend $78.00/month with GLM 5 Turbo vs $135.00/month with Claude Sonnet 4.5 (batch) - a $57.00 monthly difference.

Latency & Speed
Claude Sonnet 4.5 (batch)Faster
Speed score0/100
GLM 5 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

Claude Sonnet 4.5 (batch)

Customer support chatbot

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

Claude Sonnet 4.5 (batch)

Long document analysis

Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass

Claude Sonnet 4.5 (batch)

Batch data extraction

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

GLM 5 Turbo

Creative writing & content

Higher overall composite score (82/100) correlates with better nuance, coherence, and style in long-form content

Claude Sonnet 4.5 (batch)

Image understanding & OCR

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

Claude Sonnet 4.5 (batch)
Which Should You Choose?
Our recommendation:
Claude Sonnet 4.5 (batch)

Claude Sonnet 4.5 (batch) and GLM 5 Turbo are extremely close in overall performance (only 0.30000000000001137 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

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 - 42% lower pricing; better value at scale
Capability Comparison
CapabilityClaude Sonnet 4.5 (batch)GLM 5 Turbo
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)

Claude Sonnet 4.5 (batch)

Anthropic

$11.70
estimated monthly cost

GLM 5 Turbo

Zhipu AI

Best Value
$6.96
estimated monthly cost

GLM 5 Turbo saves you $4.74/month

That's 41% cheaper than Claude Sonnet 4.5 (batch) 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 Sonnet 4.5 (batch)GLM 5 Turbo
Context Window1M203K
Max Output Tokens64,000131,072
Open SourceNoNo
CreatedSep 29, 2025Mar 15, 2026
Last updated: 41m ago

Related comparisons

Claude Sonnet 4.5 (batch) vs GLM 5 Turbo (2026) | LM Market Cap