Price Per TokenPrice Per Token
Ai21
Ai21
vs
OpenAI
OpenAI

Jamba Large 1.7 vs GPT-5.2-Codex

A detailed comparison of pricing, benchmarks, and capabilities

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Key Takeaways

Jamba Large 1.7 wins:

  • Cheaper output tokens
  • Better at math

GPT-5.2-Codex wins:

  • Cheaper input tokens
  • Larger context window
  • Faster response time
  • Higher intelligence benchmark
  • Better at coding
  • Supports vision
  • Has reasoning mode
Price Advantage
Jamba Large 1.7
Benchmark Advantage
GPT-5.2-Codex
Context Window
GPT-5.2-Codex
Speed
GPT-5.2-Codex

Pricing Comparison

Benchmark Comparison

Context & Performance

Capabilities

Feature Comparison

FeatureJamba Large 1.7GPT-5.2-Codex
Vision (Image Input)
Tool/Function Calls
Reasoning Mode
Audio Input
Audio Output
PDF Input
Prompt Caching
Web Search

License & Release

PropertyJamba Large 1.7GPT-5.2-Codex
LicenseProprietaryProprietary
AuthorAi21OpenAI
ReleasedAug 2025Jan 2026

Jamba Large 1.7 Modalities

Input
text
Output
text

GPT-5.2-Codex Modalities

Input
textimage
Output
text

Frequently Asked Questions

GPT-5.2-Codex has cheaper input pricing at $1.75/M tokens. Jamba Large 1.7 has cheaper output pricing at $8.00/M tokens.
GPT-5.2-Codex scores higher on coding benchmarks with a score of 43.0, compared to Jamba Large 1.7's score of 7.8.
Jamba Large 1.7 has a 256,000 token context window, while GPT-5.2-Codex has a 400,000 token context window.
Jamba Large 1.7 does not support vision. GPT-5.2-Codex supports vision.