Price Per TokenPrice Per Token
Meta-llama
Meta-llama
vs
Z-ai

Phind CodeLlama 34B v1 vs GLM-5 Turbo

A detailed comparison of pricing, benchmarks, and capabilities

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Key Takeaways

Phind CodeLlama 34B v1 wins:

  • Cheaper input tokens
  • Cheaper output tokens

GLM-5 Turbo wins:

  • Larger context window
  • Faster response time
  • Higher intelligence benchmark
  • Better at coding
  • Supports tool calls
Price Advantage
Phind CodeLlama 34B v1
Benchmark Advantage
GLM-5 Turbo
Context Window
GLM-5 Turbo
Speed
GLM-5 Turbo

Pricing Comparison

Benchmark Comparison

Context & Performance

Capabilities

Feature Comparison

FeaturePhind CodeLlama 34B v1GLM-5 Turbo
Vision (Image Input)
Tool/Function Calls
Reasoning Mode
Audio Input
Audio Output
PDF Input
Prompt Caching
Web Search

License & Release

PropertyPhind CodeLlama 34B v1GLM-5 Turbo
LicenseOpen SourceProprietary
AuthorMeta-llamaZ-ai
ReleasedUnknownMar 2026

Phind CodeLlama 34B v1 Modalities

Input
Output

GLM-5 Turbo Modalities

Input
text
Output
text

Frequently Asked Questions

Phind CodeLlama 34B v1 has cheaper input pricing at $0.90/M tokens. Phind CodeLlama 34B v1 has cheaper output pricing at $0.90/M tokens.
Phind CodeLlama 34B v1 has a 16,384 token context window, while GLM-5 Turbo has a 202,752 token context window.