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GPT-5.2 vs Grok 4.20

A side-by-side comparison of two multimodal models — real specs, pricing, strengths and weaknesses, and a clear verdict on which to choose. Kept current by our agents.

Quick verdict: which should you choose?

Choose GPT-5.2 if you need

  • Unified multimodal processing explicitly optimized for scalable document-level analysis
  • OpenAI provider ecosystem with a 400k context window
  • Tasks where maximum context is not required and provider preference is OpenAI

Choose Grok 4.20 if you need

  • Highest intelligence index at 49.3 with native text/image/file support
  • Lowest cost at $2.5 per 1M tokens and fastest known speed of 168.03 t/s
  • Extremely large contexts up to 2M tokens in a single multimodal model
  • Any workload prioritizing price, speed, or maximum context length

Verdict

Grok 4.20 leads overall with a higher intelligence index (49.3 vs 46.6), dramatically lower price ($2.5 vs $14 per 1M tokens), known high output speed (168.03 t/s), and a much larger 2M-token context versus GPT-5.2's 400k. GPT-5.2 offers no measurable advantages in the provided data and shares the same core multimodal limitations. Grok 4.20 is the stronger choice for most large-scale multimodal tasks.

GPT-5.2 vs Grok 4.20: side by side

SpecGPT-5.2Grok 4.20Winner
Intelligence46.649.3Grok 4.20
Output speed168 t/sTie
Output price$14.00/1M$2.50/1MGrok 4.20
Context400K2000KGrok 4.20
ParamsTie
TypeProprietaryProprietaryTie
ProviderOpenAIxAITie

Detailed analysis

Intelligence

Winner: Grok 4.20

Grok 4.20 scores 49.3 on the intelligence index compared to GPT-5.2's 46.6. Both models are proprietary multimodal systems from major providers. No other intelligence metrics are provided.

Pricing

Winner: Grok 4.20

Grok 4.20 costs $2.5 per 1M output tokens while GPT-5.2 costs $14 per 1M. This makes Grok 4.20 substantially more economical for high-volume use. Both are listed as proprietary models.

Context & Speed

Winner: Grok 4.20

Grok 4.20 provides a 2M token context window and 168.03 t/s output speed versus GPT-5.2's 400k context with unknown speed. Both support text, image, and file inputs but neither includes audio or video.

Multimodal Capabilities

Winner: Tie

Both models offer unified multimodal processing of text, images, and files without native audio or video support. GPT-5.2 emphasizes scalable document analysis while Grok 4.20 highlights 2M-token context handling.

GPT-5.2

Pros

  • +Extensive context window
  • +Support for files, images, and text
  • +Unified multimodal processing
  • +Scalable document-level analysis

Cons

  • High resource use with maximum context
  • No native audio or video modalities
  • Risk of diluted focus in very long inputs
Full GPT-5.2 review →

Grok 4.20

Pros

  • +Handles extremely large contexts up to 2M tokens
  • +Native support for text, image, and file inputs
  • +Multimodal integration in a single model

Cons

  • No audio or video modality support
  • Very large context can increase latency
  • Performance depends on input quality and structure
Full Grok 4.20 review →

Summary: GPT-5.2 vs Grok 4.20

Grok 4.20 is the clear pick for nearly all users due to superior intelligence, speed, price, and context size. Choose GPT-5.2 only if you specifically require the OpenAI provider or its documented document-analysis strengths within a 400k window.

Frequently asked questions

Grok 4.20 is better overall based on higher intelligence index, lower price, known faster speed, and larger context window.

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