Gemini 3 Pro Preview vs Grok 4.5
Head-to-head specifications
| Metric | Gemini 3 Pro Preview | Grok 4.5 | Difference |
|---|---|---|---|
| Intelligence Index | 40.0 | 54.0 | -25.9% |
| Context window | 1M tokens | 922K tokens | — |
| Blended price ($/1M tokens) | $0.91 | $0.87 | +4.6% |
| Access | Proprietary API | Proprietary API | — |
- Grok 4.5 leads overall capability (Intelligence Index 54.0 vs 40.0).
- Both cost about the same to run (~$0.87/1M blended tokens), so capability and speed should decide.
- Gemini 3 Pro Preview offers the larger context window (1M tokens), useful for long documents and codebases.
Verdict: Gemini 3 Pro Preview or Grok 4.5?
Gemini 3 Pro Preview advantages
- Context window (+8%)
Grok 4.5 advantages
- General intelligence (+26%)
- Affordability (+4%)
Which should you choose?
- Choose the Gemini 3 Pro Preview if you work with long documents or large codebases.
- Choose the Grok 4.5 if you need the strongest overall reasoning and accuracy.
Value for money
Grok 4.5 offers more intelligence per dollar (1.4× the Intelligence-Index-per-cost of the alternative), making it the stronger value for high-volume use.
Gemini 3 Pro Preview vs Grok 4.5: which should you choose?
Gemini 3 Pro Preview — Google multimodal model with an Intelligence Index of 40, a 1M-token context window and a blended price of $0.91/1M tokens.
Grok 4.5 — xAI multimodal model with an Intelligence Index of 54, a 922K-token context window and a blended price of $0.87/1M tokens.
Gemini 3 Pro Preview vs Grok 4.5: Grok 4.5 scores higher on the Intelligence Index. Grok 4.5 leads overall capability (Intelligence Index 54.0 vs 40.0). Both cost about the same to run (~$0.87/1M blended tokens), so capability and speed should decide.
Capability: intelligence, coding and agentic work
On the composite Intelligence Index the Grok 4.5 scores 54.0 versus 40.0. Composite indices summarize many evaluations, but always test on your own workload before committing.
Context window and speed
The Gemini 3 Pro Preview 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, Grok 4.5 is the cheaper model to run ($0.87 vs $0.91 per 1M tokens). Gemini 3 Pro Preview is proprietary api and Grok 4.5 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 Gemini 3 Pro Preview better than the Grok 4.5?
Grok 4.5 takes the overall edge, though Gemini 3 Pro Preview wins in specific areas worth weighing. Grok 4.5 leads overall capability (Intelligence Index 54.0 vs 40.0).
What is the main difference between the Gemini 3 Pro Preview and the Grok 4.5?
Grok 4.5 leads overall capability (Intelligence Index 54.0 vs 40.0). Both cost about the same to run (~$0.87/1M blended tokens), so capability and speed should decide.
Which is better value?
Grok 4.5 offers more intelligence per dollar (1.4× the Intelligence-Index-per-cost of the alternative), making it the stronger value for high-volume use.
Which should I choose?
Choose the Gemini 3 Pro Preview if you work with long documents or large codebases. Choose the Grok 4.5 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.