GPT-5 Mini 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 Mini if you need
- ✓Choose GPT-5 Mini if you need lower output cost at $2 per 1M tokens for frequent multimodal use.
- ✓Choose GPT-5 Mini if you need a compact model optimized for complex multi-turn tasks under 400k context.
- ✓Choose GPT-5 Mini if you need efficient handling of text, image, and file inputs without maximum scale.
- ✓Choose GPT-5 Mini if you need OpenAI ecosystem integration for balanced multimodal workflows.
Choose Grok 4.20 if you need
- ✓Choose Grok 4.20 if you need the highest intelligence index (49.3) for demanding multimodal reasoning.
- ✓Choose Grok 4.20 if you need up to 2M token context with native text, image, and file support.
- ✓Choose Grok 4.20 if you need faster output at 168.03 t/s for large-scale multimodal processing.
- ✓Choose Grok 4.20 if you need single-model multimodal integration on extremely long inputs.
Verdict
Grok 4.20 leads in raw intelligence (49.3 vs 38.9) and output speed (168 t/s vs 96.66 t/s) while offering a 5x larger context window, making it stronger for massive-scale multimodal tasks. GPT-5 Mini wins on price ($2 vs $2.5 per 1M tokens) and its compact design suited to efficient multi-turn work within 400k tokens. Neither supports audio or video, and both remain proprietary with performance tied to input quality.
GPT-5 Mini vs Grok 4.20: side by side
| Spec | GPT-5 Mini | Grok 4.20 | Winner |
|---|---|---|---|
| Intelligence | 38.9 | 49.3 | Grok 4.20 |
| Output speed | 97 t/s | 168 t/s | Grok 4.20 |
| Output price | $2.00/1M | $2.50/1M | GPT-5 Mini |
| Context | 400K | 2000K | Grok 4.20 |
| Params | — | — | Tie |
| Type | Proprietary | Proprietary | Tie |
| Provider | OpenAI | xAI | Tie |
Detailed analysis
Intelligence
Winner: Grok 4.20Grok 4.20 scores 49.3 on the intelligence index compared to GPT-5 Mini's 38.9. This gap indicates stronger performance on complex multimodal reasoning tasks. GPT-5 Mini's limitation of reduced depth on highly complex reasoning aligns with the lower score.
Speed
Winner: Grok 4.20Grok 4.20 delivers 168.03 tokens per second versus GPT-5 Mini's 96.66 t/s. The faster rate supports quicker handling of large multimodal contexts. However, Grok's own limitation notes that very large contexts can still increase latency.
Pricing
Winner: GPT-5 MiniGPT-5 Mini costs $2 per 1M output tokens while Grok 4.20 costs $2.5 per 1M. The 20% lower price favors GPT-5 Mini for cost-sensitive multimodal workloads. Both models share the same proprietary licensing model.
Context Handling
Winner: Grok 4.20Grok 4.20 provides a 2M token context window against GPT-5 Mini's 400k tokens. This enables Grok to manage far larger text, image, and file inputs in one pass. GPT-5 Mini's strength in efficient large-context handling is limited by the smaller maximum size.
GPT-5 Mini
Pros
- +Handles very large contexts efficiently
- +Integrates text, image, and file inputs
- +Suitable for complex multi-turn tasks
- +Compact multimodal design
Cons
- –Reduced depth on highly complex reasoning vs full-size models
- –Performance depends on input clarity across modalities
- –May require careful prompting for nuanced outputs
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
Summary: GPT-5 Mini vs Grok 4.20
Select Grok 4.20 when maximum intelligence, speed, and context size are priorities for multimodal work. Choose GPT-5 Mini when lower cost and a compact efficient design within 400k tokens are more important. The models are otherwise similar in modality support and proprietary nature.
Frequently asked questions
Grok 4.20 is stronger overall due to higher intelligence, faster speed, and 2M token context, though GPT-5 Mini is cheaper and more compact for moderate-scale needs.