AI Model Comparison

Grok 4 vs GPT-5.5

Verdict
Grok 4 vs GPT-5.5: GPT-5.5 scores higher on the Intelligence Index

Head-to-head specifications

MetricGrok 4GPT-5.5Difference
Intelligence Index34.055.0-38.2%
Context window400K tokens1M tokens
Blended price ($/1M tokens)$1.68$1.54+9.1%
AccessProprietary APIProprietary API
  • GPT-5.5 leads overall capability (Intelligence Index 55.0 vs 34.0).
  • GPT-5.5 is the cheaper model to run at $1.54/1M blended tokens — about 1.1× cheaper.
  • GPT-5.5 offers the larger context window (1M tokens), useful for long documents and codebases.

Verdict: Grok 4 or GPT-5.5?

Our recommendation
GPT-5.5 is the clearly stronger overall choice, winning most of the dimensions that matter.

Grok 4 advantages

  • No decisive advantage on the tracked metrics.

GPT-5.5 advantages

  • General intelligence (+38%)
  • Context window (+60%)
  • Affordability (+8%)

Which should you choose?

  • Choose the GPT-5.5 if you need the strongest overall reasoning and accuracy.

Value for money

GPT-5.5 offers more intelligence per dollar (1.8× the Intelligence-Index-per-cost of the alternative), making it the stronger value for high-volume use.

Grok 4 vs GPT-5.5: which should you choose?

Grok 4 — xAI multimodal model with an Intelligence Index of 34, a 400K-token context window and a blended price of $1.68/1M tokens.

GPT-5.5 — OpenAI multimodal model with an Intelligence Index of 55, a 1M-token context window and a blended price of $1.54/1M tokens.

Grok 4 vs GPT-5.5: GPT-5.5 scores higher on the Intelligence Index. GPT-5.5 leads overall capability (Intelligence Index 55.0 vs 34.0). GPT-5.5 is the cheaper model to run at $1.54/1M blended tokens — about 1.1× cheaper.

Capability: intelligence, coding and agentic work

On the composite Intelligence Index the GPT-5.5 scores 55.0 versus 34.0. Composite indices summarize many evaluations, but always test on your own workload before committing.

Context window and speed

The GPT-5.5 accepts up to 1 million tokens per request, which sets how much documentation, transcript or code it can reason over at once.

Pricing and access

At blended per-token rates, GPT-5.5 is the cheaper model to run ($1.54 vs $1.68 per 1M tokens). Grok 4 is proprietary api and GPT-5.5 is proprietary api. Open-weight models can be self-hosted, trading per-call cost for infrastructure you manage; for production also weigh rate limits, throughput and data-residency requirements.

The verdict

Both are credible choices in the ai model comparison space; the specification table above lays out every metric so you can weigh the trade-offs that matter to you. Pick the one whose strengths line up with how you will actually use it.

Frequently asked questions

Is the Grok 4 better than the GPT-5.5?

GPT-5.5 is the clearly stronger overall choice, winning most of the dimensions that matter. GPT-5.5 leads overall capability (Intelligence Index 55.0 vs 34.0).

What is the main difference between the Grok 4 and the GPT-5.5?

GPT-5.5 leads overall capability (Intelligence Index 55.0 vs 34.0). GPT-5.5 is the cheaper model to run at $1.54/1M blended tokens — about 1.1× cheaper.

Which is better value?

GPT-5.5 offers more intelligence per dollar (1.8× the Intelligence-Index-per-cost of the alternative), making it the stronger value for high-volume use.

Which should I choose?

Choose the GPT-5.5 if you need the strongest overall reasoning and accuracy.

Methodology

Large language models are compared on independent leaderboard metrics: an Intelligence Index (a composite of reasoning and knowledge evaluations), Coding and Agentic indices where measured, community arena Elo, maximum context window, a blended API price per million tokens (weighted across cache-hit, input and output rates), and measured output speed in tokens per second. Where a model ships multiple reasoning-effort variants, we report its strongest variant. Benchmarks capture only part of real-world quality, which also depends on tool use, latency, safety and task fit — and this space moves quickly, so figures reflect the leaderboard snapshot on the page date.

MC
Marcus Chen
Hardware & Product Analyst

Marcus benchmarks processors, GPUs, phones and vehicles and maintains normalized performance databases.

MSc Computer Engineering10+ years review experience
✓ Reviewed by Priya Nair, Data Quality Reviewer.
Last updated 2026-07-01
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