Price Per TokenPrice Per Token
Liquid
Liquid
vs
OpenAI
OpenAI

LFM2-24B-A2B vs GPT-5.3 Codex

A detailed comparison of pricing, benchmarks, and capabilities

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Key Takeaways

LFM2-24B-A2B wins:

  • Cheaper input tokens
  • Cheaper output tokens

GPT-5.3 Codex wins:

  • Larger context window
  • Faster response time
  • Higher intelligence benchmark
  • Better at coding
  • Supports vision
  • Has reasoning mode
  • Supports tool calls
Price Advantage
LFM2-24B-A2B
Benchmark Advantage
GPT-5.3 Codex
Context Window
GPT-5.3 Codex
Speed
GPT-5.3 Codex

Pricing Comparison

Benchmark Comparison

Context & Performance

Capabilities

Feature Comparison

FeatureLFM2-24B-A2BGPT-5.3 Codex
Vision (Image Input)
Tool/Function Calls
Reasoning Mode
Audio Input
Audio Output
PDF Input
Prompt Caching
Web Search

License & Release

PropertyLFM2-24B-A2BGPT-5.3 Codex
LicenseOpen SourceProprietary
AuthorLiquidOpenAI
ReleasedFeb 2026Feb 2026

LFM2-24B-A2B Modalities

Input
text
Output
text

GPT-5.3 Codex Modalities

Input
textimage
Output
text

Related Comparisons

Compare LFM2-24B-A2B with:

Compare GPT-5.3 Codex with:

See all model comparisons

Frequently Asked Questions

LFM2-24B-A2B has cheaper input pricing at $0.03/M tokens. LFM2-24B-A2B has cheaper output pricing at $0.12/M tokens.
GPT-5.3 Codex scores higher on coding benchmarks with a score of 53.1, compared to LFM2-24B-A2B's score of N/A.
LFM2-24B-A2B has a 32,768 token context window, while GPT-5.3 Codex has a 400,000 token context window.
LFM2-24B-A2B does not support vision. GPT-5.3 Codex supports vision.

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