GPT-5.6 Sol vs Grok 4
Head-to-head specifications
| Metric | GPT-5.6 Sol | Grok 4 | Difference |
|---|---|---|---|
| Intelligence Index | 59.0 | 34.0 | +73.5% |
| Context window | 1M tokens | 400K tokens | — |
| Blended price ($/1M tokens) | $1.54 | $1.68 | -8.3% |
| Access | Proprietary API | Proprietary API | — |
- GPT-5.6 Sol leads overall capability (Intelligence Index 59.0 vs 34.0).
- GPT-5.6 Sol is the cheaper model to run at $1.54/1M blended tokens — about 1.1× cheaper.
- GPT-5.6 Sol offers the larger context window (1M tokens), useful for long documents and codebases.
Verdict: GPT-5.6 Sol or Grok 4?
GPT-5.6 Sol advantages
- General intelligence (+42%)
- Context window (+60%)
- Affordability (+8%)
Grok 4 advantages
- No decisive advantage on the tracked metrics.
Which should you choose?
- Choose the GPT-5.6 Sol if you need the strongest overall reasoning and accuracy.
- Choose the GPT-5.6 Sol if you work with long documents or large codebases.
Value for money
GPT-5.6 Sol offers more intelligence per dollar (1.9× the Intelligence-Index-per-cost of the alternative), making it the stronger value for high-volume use.
GPT-5.6 Sol vs Grok 4: which should you choose?
GPT-5.6 Sol — OpenAI multimodal model with an Intelligence Index of 59, a 1M-token context window and a blended price of $1.54/1M tokens.
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-5.6 Sol vs Grok 4: GPT-5.6 Sol scores higher on the Intelligence Index. GPT-5.6 Sol leads overall capability (Intelligence Index 59.0 vs 34.0). GPT-5.6 Sol 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-5.6 Sol scores 59.0 versus 34.0. Composite indices summarize many evaluations, but always test on your own workload before committing.
Context window and speed
The GPT-5.6 Sol 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-5.6 Sol is the cheaper model to run ($1.54 vs $1.68 per 1M tokens). GPT-5.6 Sol is proprietary api and Grok 4 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 GPT-5.6 Sol better than the Grok 4?
GPT-5.6 Sol is the clearly stronger overall choice, winning most of the dimensions that matter. GPT-5.6 Sol leads overall capability (Intelligence Index 59.0 vs 34.0).
What is the main difference between the GPT-5.6 Sol and the Grok 4?
GPT-5.6 Sol leads overall capability (Intelligence Index 59.0 vs 34.0). GPT-5.6 Sol is the cheaper model to run at $1.54/1M blended tokens — about 1.1× cheaper.
Which is better value?
GPT-5.6 Sol offers more intelligence per dollar (1.9× the Intelligence-Index-per-cost of the alternative), making it the stronger value for high-volume use.
Which should I choose?
Choose the GPT-5.6 Sol if you need the strongest overall reasoning and accuracy. Choose the GPT-5.6 Sol if you work with long documents or large codebases.
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.